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Paper Citation Record · LEDGER

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields

As of 18 August 2026, this Paper Citation Record lists 100 of 109 outbound references and 0 inbound Pith citation observations for arXiv:2504.20026.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.20026 v1

Coverage vector

measured 100 of 109 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:43:56.706425Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 109 outbound references displayed

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  • verified fuzzy38
  • unresolved62
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation 283d70ea-4488-45e6-8709-f92c5f92cd17 · outbound

This paper cites https://www.shutterstock.com/ search/3d.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields https://www.shutterstock.com/ search/3d

Reference 1

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Observation 6f04fccc-e962-468d-b1f9-44a5f62818e7 · outbound

This paper cites Intrinsic scene prop- erties from a single rgb-d image.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Intrinsic scene prop- erties from a single rgb-d image

Reference 2

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Observation c550fbbc-5fa7-483b-84b8-57f53e3fb8c3 · outbound

This paper cites Shape, illumination, and reflectance from shading.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Shape, illumination, and reflectance from shading

Reference 3

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Observation 1d52e734-d0df-4614-9385-995060a18e8f · outbound

This paper cites Nerd: Neural re- flectance decomposition from image collections.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Nerd: Neural re- flectance decomposition from image collections

Reference 4

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Observation 0a6407ff-52b9-427f-bef4-a977fa5a3d34 · outbound

This paper cites Neural-pil: Neu- ral pre-integrated lighting for reflectance decomposition.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Neural-pil: Neu- ral pre-integrated lighting for reflectance decomposition

Reference 5

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Observation 957a1d7d-ea29-4530-99b3-24bcfe4f12aa · outbound

This paper cites Samurai: Shape and material from uncon- strained real-world arbitrary image collections.Advances in Neural Information Processing Systems, 35:26389–26403,.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Samurai: Shape and material from uncon- strained real-world arbitrary image collections.Advances in Neural Information Processing Systems, 35:26389–26403,

Reference 6

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Observation eb492988-20e1-4576-9894-988814d4a3ce · outbound

This paper cites Sf3d: Stable fast 3d mesh reconstruction with uv-unwrapping and illumination disentanglement.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Sf3d: Stable fast 3d mesh reconstruction with uv-unwrapping and illumination disentanglement

Reference 7

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Observation f4587745-76f3-42e2-9f50-87ded2aa0845 · outbound

This paper cites Intrinsic image decompo- sition via ordinal shading.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Intrinsic image decompo- sition via ordinal shading

Reference 8

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Observation a973c927-f3dc-4767-860a-12697032e377 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Emerging properties in self-supervised vision transformers

Reference 9

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Observation 96923022-f534-4c95-8b14-f80e634efd14 · outbound

This paper cites Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo

Reference 10

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Observation 59e060a3-95bb-4d55-b8c8-d32214ed1565 · outbound

This paper cites Abo: Dataset and benchmarks for real-world 3d ob- ject understanding.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Abo: Dataset and benchmarks for real-world 3d ob- ject understanding

Reference 11

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Observation 0c9a424d-f515-4132-815f-e8b8efee733e · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 12

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Observation 58ee247e-f338-476e-813a-3cc8ad8754be · outbound

This paper cites Acquiring the reflectance field of a human face.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Acquiring the reflectance field of a human face

Reference 13

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Observation 2396b6cc-ba5c-4d5b-b91f-5d340e41d982 · outbound

This paper cites Objaverse: A universe of annotated 3d objects.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Objaverse: A universe of annotated 3d objects

Reference 14

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Observation 4b5cde6a-0714-4f3a-ad71-03e88351c329 · outbound

This paper cites Objaverse-xl: A universe of 10m+ 3d objects.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Objaverse-xl: A universe of 10m+ 3d objects

Reference 15

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Observation 5c80e242-76fc-4b9b-a4c9-32488b781979 · outbound

This paper cites Single-image svbrdf cap- ture with a rendering-aware deep network.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Single-image svbrdf cap- ture with a rendering-aware deep network

Reference 16

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Observation 45111baa-dc9a-4e9e-92a1-b3e0280ffbad · outbound

This paper cites Digital twin catalog: A large-scale photorealistic 3d object digital twin dataset.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Digital twin catalog: A large-scale photorealistic 3d object digital twin dataset

Reference 17

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Observation 611249a3-50d2-4f1f-b01f-5fa4ebec665f · outbound

This paper cites Dreamcraft: Text-guided generation of functional 3d environments in minecraft.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Dreamcraft: Text-guided generation of functional 3d environments in minecraft

Reference 18

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Observation 5b717579-efba-49ff-b0a6-a7d608da220e · outbound

This paper cites Project aria: A new tool for ego- centric multi-modal ai research, 2023.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Project aria: A new tool for ego- centric multi-modal ai research, 2023

Reference 19

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Observation 10e44cf6-2cfc-4cbc-8c7e-fe10596345a6 · outbound

This paper cites Shi- nobi: Shape and illumination using neural object decompo- sition via brdf optimization in-the-wild.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Shi- nobi: Shape and illumination using neural object decompo- sition via brdf optimization in-the-wild

Reference 20

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Observation 6d7921d1-96f7-451a-9651-e8a001e14171 · outbound

This paper cites K- planes: Explicit radiance fields in space, time, and appear- ance.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields K- planes: Explicit radiance fields in space, time, and appear- ance

Reference 21

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Observation 4bd28ee6-3a67-440e-8dec-a35d4036a96b · outbound

This paper cites Kaolin: A pytorch library for accelerating 3d deep learning research.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Kaolin: A pytorch library for accelerating 3d deep learning research

Reference 22

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Observation 7cb631c8-7155-4047-bd04-9ab645d37d50 · outbound

This paper cites Learning to Predict Indoor Illumination from a Single Image.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Learning to Predict Indoor Illumination from a Single Image

Reference 23

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Observation 516a2b49-cd39-4ece-bbb0-2086d221cf46 · outbound

This paper cites Fast spatially-varying in- door lighting estimation.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Fast spatially-varying in- door lighting estimation

Reference 24

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Observation 7a269419-b940-47d2-b425-11a2e8f6b83f · outbound

This paper cites Shape, light, and material decomposition from images us- ing monte carlo rendering and denoising.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Shape, light, and material decomposition from images us- ing monte carlo rendering and denoising

Reference 25

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Observation 7495ada8-7a29-44b6-a26b-79334838d2fc · outbound

This paper cites Openlrm: Open-source large reconstruction models.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Openlrm: Open-source large reconstruction models

Reference 26

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Observation 44e8b96a-e1af-4414-a6f0-73fe5505e419 · outbound

This paper cites Denoising dif- fusion probabilistic models.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Denoising dif- fusion probabilistic models

Reference 27

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Observation 16dd8ffa-1a40-42dc-922d-5757f39f3710 · outbound

This paper cites LRM: Large Reconstruction Model for Single Image to 3D.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields LRM: Large Reconstruction Model for Single Image to 3D

Reference 28

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Observation 294da615-af40-4bb8-8feb-351482546e5b · outbound

This paper cites Putting nerf on a diet: Semantically consistent few-shot view synthesis.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Putting nerf on a diet: Semantically consistent few-shot view synthesis

Reference 29

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Observation 30ca499a-d618-4683-8ed8-9479afa261f5 · outbound

This paper cites Gaussian- shader: 3d gaussian splatting with shading functions for re- flective surfaces.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Gaussian- shader: 3d gaussian splatting with shading functions for re- flective surfaces

Reference 30

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Observation 8cb3a54b-4d5d-46a8-9dd2-3383bfaa0237 · outbound

This paper cites Tensoir: Tensorial inverse rendering.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Tensoir: Tensorial inverse rendering

Reference 31

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Observation 56d22842-39d5-454e-a0cc-c8a9ea6fdb1e · outbound

This paper cites Geonerf: Generalizing nerf with geometry priors.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Geonerf: Generalizing nerf with geometry priors

Reference 32

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Observation 1ca8ebae-7d63-41b4-a499-60f216406b5c · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields 3d gaussian splatting for real-time radiance field rendering

Reference 33

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Observation b4ba7f46-12aa-4325-9486-efeb010a2a48 · outbound

This paper cites Infonerf: Ray entropy minimization for few-shot neural volume ren- dering.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Infonerf: Ray entropy minimization for few-shot neural volume ren- dering

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation eb984fd1-9c48-44e1-8099-aef5187402a7 · outbound

This paper cites Stanford-orb: a real- world 3d object inverse rendering benchmark.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Stanford-orb: a real- world 3d object inverse rendering benchmark

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.356019Z digest=sha256:03f95dc2465f59c9f44477cf63d4eafbec9a489343ae969133dac12dc859958d

Observation 48db508c-a6ed-437d-8a14-575ab4edf203 · outbound

This paper cites Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.361910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.361910Z digest=sha256:e181df24c0428d0fa48b3b9405454cb35df400f3911ed1333920b7ec6d0a4627

Observation 17381786-117d-4425-b433-9c7b3f0d01ec · outbound

This paper cites NerfAcc: A General NeRF Acceleration Toolbox.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields NerfAcc: A General NeRF Acceleration Toolbox

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.368022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.368022Z digest=sha256:6258463af2b49a5569eb2213e97f2811b04e29d4086281ed0364d7d5bdd80995

Observation 5b6b0b47-ebda-4970-a352-ad996bbef170 · outbound

This paper cites Differentiable monte carlo ray tracing through edge sampling.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Differentiable monte carlo ray tracing through edge sampling

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:58.120995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.373861Z digest=sha256:1488fc76eaef06a9672b06d90ec531bf0b87d3fe7236b2e98c3ce8cb2ebde32c

Observation 43312713-a48a-428c-8ff8-5aa14e7be88f · outbound

This paper cites Model- ing surface appearance from a single photograph using self- augmented convolutional neural networks.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Model- ing surface appearance from a single photograph using self- augmented convolutional neural networks

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:58.104675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.380061Z digest=sha256:dadfa101fe6bf066f93320ae8a0992777fc9a3883f657c391b4493fbfc1b09d7

Observation 70171a8c-a46f-4629-baa8-ae67c8252669 · outbound

This paper cites Cgintrinsics: Better intrinsic image decomposition through physically-based rendering.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Cgintrinsics: Better intrinsic image decomposition through physically-based rendering

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:58.088634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.385714Z digest=sha256:b1352e956f4a00fc78266b99bd0f71464d5633e5528df12cebb7adff21d6f839

Observation 490098a7-80e7-43ec-8d41-a561faa6fe74 · outbound

This paper cites Materials for masses: Svbrdf acquisition with a single mobile phone image.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Materials for masses: Svbrdf acquisition with a single mobile phone image

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:58.072501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.392502Z digest=sha256:7fbfa9f1c2d974aa54019bf28900ce4d4a6c1883a931e87e7e067740735cf95d

Observation 760c273f-b2f0-49b9-ab53-11dfe7588195 · outbound

This paper cites Learning to recon- struct shape and spatially-varying reflectance from a single image.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Learning to recon- struct shape and spatially-varying reflectance from a single image

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.398769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.398769Z digest=sha256:bad27f582f689b4845a28b3f3046ff3e8e629310b57db54f82f266c8406c92ee

Observation 1dbd6edf-7ddf-4aac-8b8b-cd63e11d03fd · outbound

This paper cites Inverse 12 rendering for complex indoor scenes: Shape, spatially- varying lighting and svbrdf from a single image.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Inverse 12 rendering for complex indoor scenes: Shape, spatially- varying lighting and svbrdf from a single image

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:58.045821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.404628Z digest=sha256:933fc015a4fd9862a40f206fa45e53b2ee5b374e147a2b440cebf4118a3a5c45

Observation e06772d2-5110-465a-b659-1d430d7a3843 · outbound

This paper cites OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.411046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.411046Z digest=sha256:2bea4defdb433f7beb3095b67d07bd5a69bd3d5c5f17e67800529869847aec87

Observation ebe7fe1c-9885-4c40-8a7b-8a3c9274610a · outbound

This paper cites Physically-based editing of indoor scene lighting from a single image.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Physically-based editing of indoor scene lighting from a single image

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:58.030139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.417245Z digest=sha256:8b5d734e0ea69445eaf1d39a730042827e27374472a99ce85afa01cb5298c004

Observation 78457023-1c9e-473d-a358-d535f4ec4c14 · outbound

This paper cites Neuralangelo: High-fidelity neural surface reconstruction.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Neuralangelo: High-fidelity neural surface reconstruction

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:58.013923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.422575Z digest=sha256:f1274f8432399e058b3adea05386af225d37afcd4ae08ac9f16f45fc1df46b19

Observation 65fc452d-f407-4246-9c20-203b30749244 · outbound

This paper cites Gs-ir: 3d gaussian splatting for inverse rendering.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Gs-ir: 3d gaussian splatting for inverse rendering

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.996785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.427447Z digest=sha256:640a9db65291f7f67ebbb30515e88938254c206f382b7492ed7869654424c2d0

Observation c475c73c-d789-4f07-bbf2-5c03f5d8a760 · outbound

This paper cites Magic3d: High- resolution text-to-3d content creation.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Magic3d: High- resolution text-to-3d content creation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.432578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.432578Z digest=sha256:db65a1e248e577cc7bafeaea7cdee0579bb54ff00b814f05931b886d6abac650

Observation ddce87a3-e08a-4638-bff7-1d9c2ffd7fde · outbound

This paper cites One-2-3-45++: Fast single image to 3d objects with consistent multi-view generation and 3d diffusion.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields One-2-3-45++: Fast single image to 3d objects with consistent multi-view generation and 3d diffusion

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.968429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.437289Z digest=sha256:423ca42dee134aa48ce469a8e36a50dba7a703e5c12b77806e9077ba27cd85e8

Observation c1e78562-fba1-4bcb-9571-6d8a9a1994cc · outbound

This paper cites Zero-1-to- 3: Zero-shot one image to 3d object.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Zero-1-to- 3: Zero-shot one image to 3d object

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.952162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.443034Z digest=sha256:93b6db37405bdfb01ec06868d4d0602009c646a242f28ec2ce69a85e958c0380

Observation ca84984c-e270-4b92-81e4-69bd17586a78 · outbound

This paper cites Soft rasterizer: A differentiable renderer for image-based 3d rea- soning.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Soft rasterizer: A differentiable renderer for image-based 3d rea- soning

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.936025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.448047Z digest=sha256:6af85871975e8f1b0b14a94f0cc379d6545025ebccd81929fb588c8de64f2142

Observation 48a3dd37-e537-48ce-9330-f94bf3ea95c9 · outbound

This paper cites SyncDreamer: Generating Multiview-consistent Images from a Single-view Image.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.452745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.452745Z digest=sha256:1257e3317c0b975b8a9194903f5cd4499ec29c595b6bc6cad106bc2c07cc06ee

Observation c8539484-a2df-4a1b-9dbf-a02060d2e7fc · outbound

This paper cites Reflectance and illumi- nation recovery in the wild.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Reflectance and illumi- nation recovery in the wild

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.920005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.457780Z digest=sha256:b9985ac81c739543c4af6542277f1dce93aa2f2d9ba818d1428155fb0d9da5bf

Observation 53fe07d1-83da-4827-a8c8-8458eb086e5c · outbound

This paper cites Neural Volumes: Learning Dynamic Renderable Volumes from Images.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.462746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.462746Z digest=sha256:aff1d8bda2f811b391d1daf90275a842000b9060ddbec01d0da293e606fe0548

Observation 0d0956f4-6262-47a9-a298-729ba3992403 · outbound

This paper cites Sparseneus: Fast generalizable neural sur- face reconstruction from sparse views.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Sparseneus: Fast generalizable neural sur- face reconstruction from sparse views

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.904729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.468746Z digest=sha256:4851cba7577e933b1c0396fd0b8bb035f99fbf5524afc9fa78c8c59a438ffdea

Observation daccae18-9a73-47de-9bb3-52bf093796aa · outbound

This paper cites Wonder3d: Single image to 3d using cross-domain diffusion.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Wonder3d: Single image to 3d using cross-domain diffusion

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.473564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.473564Z digest=sha256:2dd41ea13e9d89c4c2b7055714ef20f2e507df73bb5645f3e1c7ccd5221db3f4

Observation 3300aa79-5062-4cd1-ae2e-bca06cfa6f91 · outbound

This paper cites Image- based brdf measurement including human skin.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Image- based brdf measurement including human skin

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.878000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.478738Z digest=sha256:ab36a6cc508d4c1167ef6618aea7605780657f15a2453fcdaaf9cc586a87b504

Observation 6318bcf5-ce6e-4b8e-83b8-5e6d2c7ba1a9 · outbound

This paper cites A data-driven reflectance model.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields A data-driven reflectance model

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.860944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.484038Z digest=sha256:a6002457b688c5299b7ddc0947b76b83faab299ae4847f701f274feeef8de4fe

Observation f5445d0a-f983-4097-bec5-fbc92b4001bd · outbound

This paper cites Lime: Live intrinsic material esti- mation.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Lime: Live intrinsic material esti- mation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.843003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.489546Z digest=sha256:7cbd04483e4b2912bfd975038268e82cb173e2f38cb9f0033c84007321fff74c

Observation a1bc78d9-7ed6-4b9a-8266-f0796bceb0b5 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.494334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.494334Z digest=sha256:e78a790e50d9461262b684fbd54fca17aa8199be926f9235eae1f3313bc2a10a

Observation 28a0f005-887b-4436-bc55-be0cd2ec088f · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Instant neural graphics primitives with a multiresolution hash encoding

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.499588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.499588Z digest=sha256:4a69110a7ec8fa89469785f9c85c0c14ec3647fa684dbf0687f92d8dd4b38811

Observation 482514c6-3aa1-4e9b-b286-0dbdad7dcc71 · outbound

This paper cites Extracting triangular 3d models, materials, and lighting from images.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Extracting triangular 3d models, materials, and lighting from images

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.796564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.504741Z digest=sha256:355810a1a85f988f49c65bd8a21c58d5ba6563f392d6919484a677bb6166385f

Observation c603d389-d7ff-4d74-8e57-b55472640ee2 · outbound

This paper cites Regnerf: Regularizing neural radiance fields for view syn- thesis from sparse inputs.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Regnerf: Regularizing neural radiance fields for view syn- thesis from sparse inputs

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.780415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.509465Z digest=sha256:b19a5edea2ab5b3b0e44d6bbedc3f5a9b4e3a1b50b21a35c689c631d12ee76ea

Observation deeeb152-ffe5-4a1b-8402-0271b37eed70 · outbound

This paper cites Scalable diffusion mod- els with transformers.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Scalable diffusion mod- els with transformers

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.763264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.514362Z digest=sha256:c455f76d35d6893cc89dec28f155c830a4e00db4e724329c808787c31828f69e

Observation 76d2fe25-7f3f-4efc-8b3a-285c08ce6b50 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields DreamFusion: Text-to-3D using 2D Diffusion

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.519196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.519196Z digest=sha256:a8f056c0ff44b656a4254191d69ad6c232305fe3c05baadfff1b57c6b3033c50

Observation d0c375f2-d6f0-4eb2-a960-03c21aed98d8 · outbound

This paper cites ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.524763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.524763Z digest=sha256:f332d88b14ca998724e39c6f77b2e48438225869959a379fa8fa83cb940c5da5

Observation 31702113-e4c2-40f4-b06b-c50dd446aafb · outbound

This paper cites Zerorf: Fast sparse view 360deg reconstruction with zero pretrain- ing.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Zerorf: Fast sparse view 360deg reconstruction with zero pretrain- ing

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.747036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.529806Z digest=sha256:d2f24137571b976d701c71bfe1b842abed442de398f8b95716ebc5283d191101

Observation 7a32af04-2716-429c-956a-3e5b1943458e · outbound

This paper cites MVDream: Multi-view Diffusion for 3D Generation.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields MVDream: Multi-view Diffusion for 3D Generation

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.534501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.534501Z digest=sha256:49bd0d5124a5e912e12f39b63466a348a0164c9a58afe8b95574c63f96dc6c34

Observation beecd4ae-21f0-43b0-b99e-167a8b0da4a0 · outbound

This paper cites GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.539564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.539564Z digest=sha256:c61a39d20f2eae170008fd24b48477db7455e63f1d32f694b2871dffc16509e1

Observation 19837813-5813-4188-8e55-619f4fc9c056 · outbound

This paper cites Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.545262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.545262Z digest=sha256:78a3bf224bb3fef5fc70a9ae4a90e6484e6658bdc1ef3f6173c5a24d6f9b7d0f

Observation 47185c67-ef1b-48f3-8cb4-41868ad3f4ca · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Score-Based Generative Modeling through Stochastic Differential Equations

Reference 71

Resolution
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no resolver link, observed 2026-08-16T05:43:56.550321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.550321Z digest=sha256:a363b868f5f40e18c8a77cca158b5b039dc7a0487ba7d7d79bb272c1cb612474

Observation b663d02b-a076-49dc-a954-0e41b6fa8ce3 · outbound

This paper cites Lighthouse: Predicting lighting volumes for spatially- coherent illumination.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Lighthouse: Predicting lighting volumes for spatially- coherent illumination

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.730941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.555668Z digest=sha256:846904f1fb2e3e10bfc91d67f34253fdca0317a442bf4b988381eb60f21d6c26

Observation a85052ba-5aad-4ad6-bd2c-d781e8d79bce · outbound

This paper cites Neural-pbir reconstruction of shape, mate- rial, and illumination.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Neural-pbir reconstruction of shape, mate- rial, and illumination

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.714639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.560302Z digest=sha256:ccf32439f9596399f7f36eb067f544725be1034bb2055b31e76d153fe87760b1

Observation d24d0a6d-9a02-43c8-a41c-3e5c25adba9b · outbound

This paper cites Mvdiffusion++: A dense high- resolution multi-view diffusion model for single or sparse- view 3d object reconstruction.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Mvdiffusion++: A dense high- resolution multi-view diffusion model for single or sparse- view 3d object reconstruction

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.698171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.570309Z digest=sha256:df3b990a1b092081c824951f0f0215a39e376e49cd7d1e3095d5139e78d11775

Observation 0c67ede2-8643-4ae1-86b4-a32b7f0b83b7 · outbound

This paper cites TripoSR: Fast 3D Object Reconstruction from a Single Image.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields TripoSR: Fast 3D Object Reconstruction from a Single Image

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.575627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.575627Z digest=sha256:e18a846b53ba0b335b9b05c25cefc509efcef1d80d1cce78ca9bc1147c9bb0ab

Observation 7a81fce7-c31f-47aa-9eb0-b7f23ea68ee1 · outbound

This paper cites Objects with lighting: A real-world dataset for evaluating reconstruc- tion and rendering for object relighting.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Objects with lighting: A real-world dataset for evaluating reconstruc- tion and rendering for object relighting

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.680353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.581068Z digest=sha256:e17f14273bf1c5fc2a1c9b81367900c2b5b747c061fa9624ce37b4bfb03189b3

Observation 34931652-3f19-4c59-ab3a-bf8b3caf09af · outbound

This paper cites NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.586363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.586363Z digest=sha256:424cab2e27bee8c0a06fcafddedfbd31965ec6c4f5b1c9e57bbe6d1507e4542b

Observation c9204974-756b-4a5a-8b76-9a81af0b6d33 · outbound

This paper cites SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.596640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.596640Z digest=sha256:77e356a6d898b1247ea9d3b47e6b45ea412bd7ace0e435ca955ff52c6a828975

Observation 583f5cb2-c8b1-4f41-aa53-37ad79c3d53d · outbound

This paper cites PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.601813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.601813Z digest=sha256:add654f9897c1fc0f729cecf959cf91800f746270d61c4fd91ba1504e9854188

Observation 07243acf-50df-48b1-a446-aba011ca907f · outbound

This paper cites Taming mode collapse in score distillation for text-to-3d generation.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Taming mode collapse in score distillation for text-to-3d generation

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.607188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.607188Z digest=sha256:7eb446f2e38c4d9bb2b710e18e37d0390f501ac6892fb13c60f1e514413b1d82

Observation 4ccc7bc4-904d-4ef4-bae1-453ebcb9f70d · outbound

This paper cites Ibrnet: Learning multi-view image-based rendering.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Ibrnet: Learning multi-view image-based rendering

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.654328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.612313Z digest=sha256:a0fe8c33673a58e306f503bbbd2fc8fedcd05f5bb5e2305bb009698359d37b5a

Observation 5cad035b-fcae-4105-9171-c0e724f82d6b · outbound

This paper cites Learning indoor inverse rendering with 3d spatially-varying lighting.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Learning indoor inverse rendering with 3d spatially-varying lighting

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.638122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.616961Z digest=sha256:a3e92c79274c91b1f4ce581cebd8d5677a9f8d590e8dc0bc5aad723f515501e7

Observation c4413ca6-d952-4759-9c22-24b8dc61d3a1 · outbound

This paper cites Prolificdreamer: High- fidelity and diverse text-to-3d generation with variational score distillation.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Prolificdreamer: High- fidelity and diverse text-to-3d generation with variational score distillation

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.621676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.621676Z digest=sha256:e6c5ec7b7dfe95fee0daba6f6567b824d2530515c6cc4ab44fbe2cfca2fb7d7a

Observation fe7e0088-0c2b-4e52-8a8d-00cc8097940e · outbound

This paper cites MeshLRM: Large Reconstruction Model for High-Quality Meshes.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields MeshLRM: Large Reconstruction Model for High-Quality Meshes

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.626473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.626473Z digest=sha256:ad904abe4e125d7c06ba2afa738f02bd47a3ac39ffbe7ed75d5a2ba85037a2b9

Observation dc90906b-fc06-41dc-b766-ed0c9a615ef8 · outbound

This paper cites Neural directional encoding for efficient and accurate view-dependent appearance modeling.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Neural directional encoding for efficient and accurate view-dependent appearance modeling

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.611973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.631668Z digest=sha256:5403b9ccd8b458b8688ff93bc2a4605659fd61ce2bfd0cb362ca71e4822b5752

Observation a141456e-2998-4eb5-9e7a-e4d2016a9d82 · outbound

This paper cites Hyperdreamer: Hyper-realistic 3d content generation and editing from a single image.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Hyperdreamer: Hyper-realistic 3d content generation and editing from a single image

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.595819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.636539Z digest=sha256:eee62d8556a6cb1fc1b30fea8e8202ac731f73e3836efc509e4d78e97967d771

Observation 7afd6467-c8ef-4bed-a507-21985a78ff6e · outbound

This paper cites SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.641407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.641407Z digest=sha256:7b83b80d504da64cc843adef36f8897aaad992a5d8e9b114e9039046d18372ee

Observation 78e7d8d2-0180-41c9-9ad6-463ce5d419de · outbound

This paper cites InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.646180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.646180Z digest=sha256:fdd6b68d247dff4fe7f41be4c5998746287ee522b5600f3cefd8333f0eb75e01

Observation 6f4c97c3-1fda-40ed-9170-919d7e1c363e · outbound

This paper cites DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.651636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.651636Z digest=sha256:fefe8179c181870b0fa98b94af7c40cc58ca0c3a5d3769ca817c31bf85674832

Observation 00a40245-20ab-46a2-b944-2eb7df6acc7f · outbound

This paper cites Deep image-based relighting from optimal sparse samples.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Deep image-based relighting from optimal sparse samples

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.579213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.656823Z digest=sha256:b27c273e8358c80c8ff8617c97a84acc84c4b9d1a37af3bda3cbdf9409ff8f1f

Observation 85686652-952d-4931-a95c-880f1313420d · outbound

This paper cites SIRe-IR: Inverse Rendering for BRDF Reconstruction with Shadow and Illumination Removal in High-Illuminance Scenes.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields SIRe-IR: Inverse Rendering for BRDF Reconstruction with Shadow and Illumination Removal in High-Illuminance Scenes

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.661817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.661817Z digest=sha256:11f3a3e3a77078e1fa70941ff456c2297947c2cdb612ad59923ae02855c68249

Observation 2429bfbe-63b0-4a6c-b4b8-499264e7906c · outbound

This paper cites V olume rendering of neural implicit surfaces.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields V olume rendering of neural implicit surfaces

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.667407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.667407Z digest=sha256:f28a0b8f243bda257695fc203425bfe00b7f310a64b497d5b5c4a75297eb00bb

Observation 6e6bd8ab-12f8-4ce5-9c63-285717d4f25d · outbound

This paper cites Plenoctrees for real-time rendering of neural radiance fields.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Plenoctrees for real-time rendering of neural radiance fields

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.551894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.672514Z digest=sha256:e1ca51842d3659f5ae0eb81f523f44260fcc421b190be2ea48c842c1e4af3400

Observation b13a7725-679a-48da-af9a-1dec477a09af · outbound

This paper cites pixelnerf: Neural radiance fields from one or few images.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields pixelnerf: Neural radiance fields from one or few images

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.535406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.677307Z digest=sha256:d2bf2d7a3ab32dd7c7fb7efe3c3cdc4318b7d5b6546266c9e18628765c982640

Observation cbc36dee-9f64-4e90-9d32-f077ad752ffb · outbound

This paper cites Mvimgnet: A large-scale dataset of multi-view images.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Mvimgnet: A large-scale dataset of multi-view images

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.518428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.681846Z digest=sha256:b7e01fd0f62bc4e302ade96a99c723bfa082e1b2efc7bf0ac8050139493604a8

Observation 67516315-0e90-49f2-9a9f-581ef5cd42d6 · outbound

This paper cites A dif- ferential theory of radiative transfer.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields A dif- ferential theory of radiative transfer

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.501942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.686463Z digest=sha256:95e2ccc48acba35c6f0409e94331cb6930afd4f9e5790afa8db53c23a8cc09f1

Observation 5ca5b4c0-4793-494d-9f45-1fd8dc4e2972 · outbound

This paper cites Physg: Inverse rendering with spherical gaussians for physics-based material editing and relighting.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Physg: Inverse rendering with spherical gaussians for physics-based material editing and relighting

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.486200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.691859Z digest=sha256:c7e34b559361e645126f2907ee8f3ad2c19ed0d9071238d396653415ca648a4e

Observation 93a2d4f6-6b27-434e-ad38-7075cde96a78 · outbound

This paper cites Arf: Artistic radiance fields.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Arf: Artistic radiance fields

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.469711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.696815Z digest=sha256:1ded183a682030575c8bf6c38e5685c87b2b76371437b8b1e131749166ccfb45

Observation d4611522-6023-4c74-8633-e17aed2a4855 · outbound

This paper cites Iron: Inverse rendering by optimizing neural sdfs and ma- terials from photometric images.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Iron: Inverse rendering by optimizing neural sdfs and ma- terials from photometric images

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:43:57.454148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:43:56.701615Z digest=sha256:0357ad4135c6d200383c41c7c126e0b7b0c99e1a85021310f9aed3bcfebd84fa

Observation 314e9daa-44db-4491-8ee4-ce4afeea58e6 · outbound

This paper cites Gs-lrm: Large reconstruction model for 3d gaussian splatting.

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields Gs-lrm: Large reconstruction model for 3d gaussian splatting

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-16T05:43:56.706425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:43:56.706425Z digest=sha256:d4410fc9a2dd449b59ee2d031d59134b70b6836092bca6fd46119555ef1155bd

Pith citing papers

No inbound Pith citation observations are available.