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Paper Citation Record · LEDGER

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving

As of 9 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2507.05499.

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

pith.paper-citation-record.v1
2507.05499 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:29:52.765494Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

54 of 54 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 21e52f45-fdbd-4cb4-adb1-db16fa256ad7 · outbound

This paper cites Ren- derdiffusion: Image diffusion for 3d reconstruction, inpaint- ing and generation.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Ren- derdiffusion: Image diffusion for 3d reconstruction, inpaint- ing and generation

Reference 1

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Source-reported events for the cited work

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Observation 161e711e-6128-40e8-b548-d8b590b2491c · outbound

This paper cites Large-Vocabulary 3D Diffusion Model with Transformer.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Large-Vocabulary 3D Diffusion Model with Transformer

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 68294e73-4a1f-42bd-a3d1-4398b4ff8718 · outbound

This paper cites Efficient geometry-aware 3d generative adversarial networks.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Efficient geometry-aware 3d generative adversarial networks

Reference 3

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Observation d951ffbb-b8d9-49c6-a23d-5cb524c9d869 · outbound

This paper cites Single-stage diffusion nerf: A unified approach to 3d generation and reconstruction.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Single-stage diffusion nerf: A unified approach to 3d generation and reconstruction

Reference 4

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5b8b4a2d-7ba9-471c-b8bc-cfe0eed800e8 · outbound

This paper cites Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7980b51f-afbe-435c-aa84-aa0d871fc9e0 · outbound

This paper cites Sdfusion: Multimodal 3d shape completion, reconstruction, and generation.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Sdfusion: Multimodal 3d shape completion, reconstruction, and generation

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation cdf4a38b-e5ef-4eb0-a492-3c517321f6dd · outbound

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

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Objaverse-xl: A universe of 10m+ 3d objects

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 40b70ab6-a263-4311-ae08-b580bb23d776 · outbound

This paper cites Google scanned objects: A high- quality dataset of 3d scanned household items.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Google scanned objects: A high- quality dataset of 3d scanned household items

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e3841864-4999-4172-9964-63ff57ad23e2 · outbound

This paper cites Hyperdiffusion: Generating implicit neu- ral fields with weight-space diffusion.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Hyperdiffusion: Generating implicit neu- ral fields with weight-space diffusion

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7aafdaef-6a94-44a6-9792-9e82edba506c · outbound

This paper cites Get3d: A generative model of high quality 3d tex- tured shapes learned from images.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Get3d: A generative model of high quality 3d tex- tured shapes learned from images

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 75d16664-5c15-401d-b143-462b7b673988 · outbound

This paper cites Control3diff: Learning con- trollable 3d diffusion models from single-view images.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Control3diff: Learning con- trollable 3d diffusion models from single-view images

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6329038f-04e1-43c1-b95e-05652038645a · outbound

This paper cites Instant neural surface reconstruction, 2022.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Instant neural surface reconstruction, 2022

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 91231166-1840-4f71-bf66-30932b1c1f3a · outbound

This paper cites 3DGen: Triplane Latent Diffusion for Textured Mesh Generation.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving 3DGen: Triplane Latent Diffusion for Textured Mesh Generation

Reference 13

Resolution
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Source-reported events for the cited work

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Observation d62c80c8-e21b-464c-affb-c29987d4e7f9 · outbound

This paper cites Denoising dif- fusion probabilistic models.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Denoising dif- fusion probabilistic models

Reference 14

Resolution
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no resolver link, observed 2026-08-06T19:29:48.088006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4d3ff55b-8792-4305-a7bd-bf428823ff98 · outbound

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

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving LRM: Large Reconstruction Model for Single Image to 3D

Reference 15

Resolution
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no resolver link, observed 2026-08-06T19:29:48.155392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 60d67789-24fd-422d-8847-6656a13cd694 · outbound

This paper cites Epidiff: Enhancing multi-view synthesis via localized epipolar-constrained diffusion.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Epidiff: Enhancing multi-view synthesis via localized epipolar-constrained diffusion

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e3900e10-4242-4259-8bd3-9a9d0eaf0bf4 · outbound

This paper cites Zero-shot text-guided object genera- tion with dream fields.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Zero-shot text-guided object genera- tion with dream fields

Reference 17

Resolution
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Source-reported events for the cited work

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Observation 485fc674-ff3a-423c-b638-28d9159d505b · outbound

This paper cites Shap-E: Generating Conditional 3D Implicit Functions.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Shap-E: Generating Conditional 3D Implicit Functions

Reference 18

Resolution
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Observation 27fd9cc6-fef6-4628-892e-a3e5baecd2a7 · outbound

This paper cites Neuralfield-ldm: Scene genera- tion with hierarchical latent diffusion models.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Neuralfield-ldm: Scene genera- tion with hierarchical latent diffusion models

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 76691c49-0568-426f-a334-3d52a344416d · outbound

This paper cites Diffusion- sdf: Text-to-shape via voxelized diffusion.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Diffusion- sdf: Text-to-shape via voxelized diffusion

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 36e01c83-a18a-4a48-8242-17eaeec8e08b · outbound

This paper cites One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimiza- tion.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimiza- tion

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 97c7f960-98ae-449e-a7e0-78ed680fab38 · outbound

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

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Zero-1-to- 3: Zero-shot one image to 3d object

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation df6f229d-12ba-4493-b321-1f5e1b069ce8 · outbound

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

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

Reference 23

Resolution
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no resolver link, observed 2026-08-06T19:29:48.845084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 84337cb4-a61a-474e-83ba-e5b8be7ae7e8 · outbound

This paper cites MeshDiffusion: Score-based Generative 3D Mesh Modeling.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving MeshDiffusion: Score-based Generative 3D Mesh Modeling

Reference 24

Resolution
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no resolver link, observed 2026-08-06T19:29:48.923620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8bd242f8-4f6c-4fce-a246-e867734dc589 · outbound

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

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Sparseneus: Fast generalizable neural sur- face reconstruction from sparse views

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1a2efb6a-827d-4ee1-8853-d821d0ae4280 · outbound

This paper cites Diffusion probabilistic models for 3d point cloud generation.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Diffusion probabilistic models for 3d point cloud generation

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 956df58d-6d41-4c2e-91b0-d234c8eaf113 · outbound

This paper cites Controllable mesh generation through sparse latent point diffusion models.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Controllable mesh generation through sparse latent point diffusion models

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7674da91-d192-4818-8315-40ba1de38529 · outbound

This paper cites Realfusion: 360deg reconstruction of any object from a single image.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Realfusion: 360deg reconstruction of any object from a single image

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:29:55.884223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a8610db6-f92e-4bd9-88a6-e41333b9608b · outbound

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

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 29

Resolution
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no resolver link, observed 2026-08-06T19:29:49.479593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9b314d1f-bd08-4953-aeca-de5878191899 · outbound

This paper cites Dit-3d: Exploring plain diffusion transformers for 3d shape generation.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Dit-3d: Exploring plain diffusion transformers for 3d shape generation

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:29:55.563612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a09fac6e-67c1-447e-b12b-0225635c6932 · outbound

This paper cites Diffrf: Rendering-guided 3d radiance field diffusion.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Diffrf: Rendering-guided 3d radiance field diffusion

Reference 31

Resolution
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no resolver link, observed 2026-08-06T19:29:49.647907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:29:49.647907Z digest=sha256:bc4ceeb907f4a8ab29e5393cdbfe81ecfe91e59dc05a75e32d2a231f6f4ec173

Observation e93574ad-4bd7-4dbb-82ba-69702e8f4a5d · outbound

This paper cites Point-E: A System for Generating 3D Point Clouds from Complex Prompts.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Point-E: A System for Generating 3D Point Clouds from Complex Prompts

Reference 32

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f2044978-8f72-46cd-b59d-c5cd03f8adb2 · outbound

This paper cites Au- todecoding latent 3d diffusion models.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Au- todecoding latent 3d diffusion models

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:29:55.271606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1e836f06-cdef-46f0-990e-2779f4d96240 · outbound

This paper cites Scalable diffusion models with transformers.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Scalable diffusion models with transformers

Reference 34

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no resolver link, observed 2026-08-06T19:29:50.050195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:29:50.050195Z digest=sha256:c61aa55bf16d85e7ec783d5cd6541decf93373b14dedf5016c941c7325e7a26b

Observation fe0f1e44-61af-447b-be83-0eb628f44bd8 · outbound

This paper cites Film: Visual reasoning with a general conditioning layer.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Film: Visual reasoning with a general conditioning layer

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:29:54.955317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:29:50.201690Z digest=sha256:7e96f04180e909af92fb5532b6873358cb67f03c502281ca9fc554a658fd402b

Observation 42d108d8-9f9b-496d-a45e-6db3f6d2c283 · outbound

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

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving DreamFusion: Text-to-3D using 2D Diffusion

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T19:29:50.320803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:29:50.320803Z digest=sha256:71032c786725a037584817a962d19965d09006e97b29c21d3b0c0fafd8edc0b8

Observation 780c0bd0-dffb-46ee-a26d-6ecf5a9a22a6 · outbound

This paper cites Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T19:29:50.437655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:29:50.437655Z digest=sha256:a6b2243e0314537a17b599278bd8dbd5007f6f9135c3e73157fa92fe100ec17f

Observation 8f0dedd9-f864-4594-8cad-f5f8bbe40781 · outbound

This paper cites Dream- booth3d: Subject-driven text-to-3d generation.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Dream- booth3d: Subject-driven text-to-3d generation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:29:54.709896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:29:50.575941Z digest=sha256:af62cc3b1a2ba06f246411d3025c45964a0e74f8502613af044dd1770ec21afe

Observation c66dd39c-02e2-4233-bc16-d8a7de4ca7a5 · outbound

This paper cites Xcube: Large-scale 3d generative modeling using sparse voxel hierarchies.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Xcube: Large-scale 3d generative modeling using sparse voxel hierarchies

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:29:54.462072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:29:50.678003Z digest=sha256:bb2389ea1ac1bc654ce9ac85f39fef043b3f9578eb80b71ddb39caa3dcdb59f7

Observation 43195d8d-6775-4222-bd88-52a89b3e0eb2 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving High-resolution image synthesis with latent diffusion models

Reference 40

Resolution
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no resolver link, observed 2026-08-06T19:29:50.864305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:29:50.864305Z digest=sha256:9fc25898a6a23399d0c83278b5f6023ed548d325b01a44e8615eb8e1205a1b64

Observation c240b4de-00ac-4260-966f-99829afed2df · outbound

This paper cites 3d neural field generation using triplane diffusion.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving 3d neural field generation using triplane diffusion

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:29:54.217909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:29:51.007279Z digest=sha256:1afb821ed3c8f7cff1de9b73b268449f32bec526cb0da3cc4bfcd2b879e975ff

Observation 218ed860-3bfc-4d1f-9da9-ebd1b11c6a06 · outbound

This paper cites DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T19:29:51.206330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:29:51.206330Z digest=sha256:4e47594fda41ab2f2d55cb38a060c681d12938fa853f899d5b67de5136d367e9

Observation 3e1edb7b-c9e4-4228-bc7d-61cce4ff4803 · outbound

This paper cites Make-it-3d: High-fidelity 3d creation from a single image with diffusion prior.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Make-it-3d: High-fidelity 3d creation from a single image with diffusion prior

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T19:29:51.337817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:29:51.337817Z digest=sha256:bb9561c5bdf9235636c2b7d7f19a56e8179a4908129901641136989a6a224bec

Observation 147e1cc0-b56e-47aa-880f-488b19cd102b · outbound

This paper cites Lion: Latent point dif- fusion models for 3d shape generation.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Lion: Latent point dif- fusion models for 3d shape generation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:29:54.058345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:29:51.455081Z digest=sha256:b9936ea948b058943c93d1bc24e648019a6b7c6d97a9158cf239c9e7d7759298

Observation 95933d71-932d-406f-b72a-383da3ef13cc · outbound

This paper cites Attention is all you need.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Attention is all you need

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T19:29:51.592115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:29:51.592115Z digest=sha256:a2c30083f2e7b9a3933b74af9d02f7150939e4ea6ed59576eba99902e528654b

Observation 25e5b99c-ee0a-4678-9899-c3afc1b428f0 · outbound

This paper cites Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:29:53.808108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:29:51.705314Z digest=sha256:d914201eb477bb66694f8474551ee06f683a704bb0c24a524becb1218038ce25

Observation 23453878-eec8-4780-9fca-abf55c9ec5f8 · outbound

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

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T19:29:51.843028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:29:51.843028Z digest=sha256:f2b2b33564486d4cf323c4a1762d0ed9d2bf7706594e53b1a915d39116042ba4

Observation fec47149-11db-4983-9bd2-3a9180aa5c96 · outbound

This paper cites Rodin: A generative model for sculpting 3d digital avatars using diffusion.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Rodin: A generative model for sculpting 3d digital avatars using diffusion

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T19:29:51.966706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:29:51.966706Z digest=sha256:fc05d1322d977a445e6c59af8a48f43a057ef3bdf5d323f3de7570e5ea221e43

Observation 0e157352-b799-4270-bdfd-628135f1dbd6 · outbound

This paper cites Pushing the Limits of 3D Shape Generation at Scale.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Pushing the Limits of 3D Shape Generation at Scale

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T19:29:52.123483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:29:52.123483Z digest=sha256:98c52d4ee2042b583d15d6e14f2c2943f76c9ab9b328c9edb93fb1801e0cbbf8

Observation 5099b091-d493-4722-a843-4013d115b7d6 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Image quality assessment: from error visibility to structural similarity

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T19:29:52.208814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:29:52.208814Z digest=sha256:00dfc2d12dc533e906ae71308f4aac822937a1b4655b8fd89d207fcd9c9297d9

Observation 0856f2ef-88b2-443c-8a83-2dd8859ed2d8 · outbound

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

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:29:53.508791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:29:52.335212Z digest=sha256:ddbcbf98cb7374b46bcb2ee80d4280934109f8c0d2ec11298beb0207ba8bda32

Observation 72578a8b-aa61-4e5a-b0bc-f0dd55bc7d74 · outbound

This paper cites Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:29:53.258312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T19:29:52.489857Z digest=sha256:e34efa75398e62980588d84bc7d33455d0f8367c3a16d11ccb873b6a2052679c

Observation 2ac84285-9d9f-4c8c-af64-47b7a6e0197c · outbound

This paper cites Text-to-3D with Classifier Score Distillation.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving Text-to-3D with Classifier Score Distillation

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T19:29:52.604454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:29:52.604454Z digest=sha256:fdce1a7a3d945ab4bdf7c32c8a86f2f59b35e60f1b22350b8fe428e5d5e46477

Observation e46f77c0-9173-4be6-b674-b2cff51fd747 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving The unreasonable effectiveness of deep features as a perceptual metric

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T19:29:52.765494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:29:52.765494Z digest=sha256:14042775daa317a5291c6362bc7b82efe082eb4c2c019057a43e305f03965d37

Pith citing papers

No inbound Pith citation observations are available.