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Paper Citation Record · LEDGER

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning

As of 14 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2607.16805.

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

pith.paper-citation-record.v1
2607.16805 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T19:57:00.411944Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

59 of 59 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a59c2d0c-525d-4bc3-bde9-71febf26328d · outbound

This paper cites Jones, Rajinder Sodhi, Michael Murdock, Ravish Mehra, Hrvoje Benko, Andrew D.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Jones, Rajinder Sodhi, Michael Murdock, Ravish Mehra, Hrvoje Benko, Andrew D

Reference 1

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source=pdf_text observed=2026-08-01T19:56:54.336216Z digest=sha256:2ee9e404126252c8c956095abee5c6daf32b067640bcb9be31b0afbae573257b

Observation ad7284b5-6178-4849-a829-e017717a1035 · outbound

This paper cites Loop, Qin Cai, Philip A.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Loop, Qin Cai, Philip A

Reference 2

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source=pdf_text observed=2026-08-01T19:56:54.452336Z digest=sha256:ffbbe24d07028be0415174852a43525e1335857ed5a28315dae07caeee843662

Observation a363e52d-ff5e-4fa3-85eb-96eb868f4647 · outbound

This paper cites Newcombe, Shahram Izadi, Otmar Hilliges, David Molyneaux, David Kim, An- drew J.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Newcombe, Shahram Izadi, Otmar Hilliges, David Molyneaux, David Kim, An- drew J

Reference 3

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source=pdf_text observed=2026-08-01T19:56:54.563783Z digest=sha256:a65d68f2269e16215f664e8bacc3602230f3574d172c03b0aa197a20defb6c08

Observation 3cf7632c-8e17-48c0-b7c4-60b5ca080a3b · outbound

This paper cites Oasis: Procedurally generated social virtual spaces from 3d scanned real spaces.IEEE Trans.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Oasis: Procedurally generated social virtual spaces from 3d scanned real spaces.IEEE Trans

Reference 4

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source=pdf_text observed=2026-08-01T19:56:54.733318Z digest=sha256:d22ae88ce3fe56280b97bd9570a6e5f333f1ceaa71c46fbc1de0dfce75ff22a5

Observation ccc4e2da-6556-4c67-961a-e0d74a54a377 · outbound

This paper cites VR-NeRF: high- fidelity virtualized walkable spaces.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning VR-NeRF: high- fidelity virtualized walkable spaces

Reference 5

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source=pdf_text observed=2026-08-01T19:56:55.019269Z digest=sha256:5412ec22e0a6ce02392b3fbcae416e99701bdf048dfc44f1e8474c5abc23f284

Observation b016486b-5d1e-465d-9d84-65985f9f9a68 · outbound

This paper cites Litereality: Graphics-ready 3d scene reconstruction from RGB-D scans.Ad- vances in Neural Information Processing Systems, 38:162794–162827, 2026.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Litereality: Graphics-ready 3d scene reconstruction from RGB-D scans.Ad- vances in Neural Information Processing Systems, 38:162794–162827, 2026

Reference 6

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source=pdf_text observed=2026-08-01T19:56:55.069783Z digest=sha256:0c642259f20f98659dd3a17f2bb27ef6d096324508d60aa3f8e3a54ebb553cc6

Observation 07d5e443-13ed-4806-90a0-9cd166888785 · outbound

This paper cites Robogen: Towards unleashing infinite data for automated robot learning via generative simulation.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Robogen: Towards unleashing infinite data for automated robot learning via generative simulation

Reference 7

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source=pdf_text observed=2026-08-01T19:56:55.126006Z digest=sha256:087b1b1602e4b5914437af0f7553faf848a2c91cd3ad97758f8960b71beebff6

Observation 0a903fc2-843c-46f9-8ec3-1d1d0dd3e236 · outbound

This paper cites Maniskill2: A unified benchmark for generalizable manipulation skills.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Maniskill2: A unified benchmark for generalizable manipulation skills

Reference 8

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source=pdf_text observed=2026-08-01T19:56:55.198223Z digest=sha256:8548c52b1720f13d20e7ed97748703924dbaa0dcfd605cb694d6b73e177e7e94

Observation 6b991f87-774d-4c3f-8201-281d20267ba1 · outbound

This paper cites Chang, and Manolis Savva.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Chang, and Manolis Savva

Reference 9

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source=pdf_text observed=2026-08-01T19:56:55.274216Z digest=sha256:adb006f6fc343f5125a5e0ef0457969ee35e04dcddf29444124350124d2e47bb

Observation 68a89fa2-4f7a-4b1a-8677-fe83d736aab4 · outbound

This paper cites Turner, Oleksandr Maksymets, Zsolt Kira, Mrinal Kalakrishnan, Jitendra Malik, Devendra Singh Chaplot, Unnat Jain, Dhruv Batra, Ak- shara Rai, and Roozbeh Mottaghi.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Turner, Oleksandr Maksymets, Zsolt Kira, Mrinal Kalakrishnan, Jitendra Malik, Devendra Singh Chaplot, Unnat Jain, Dhruv Batra, Ak- shara Rai, and Roozbeh Mottaghi

Reference 10

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source=pdf_text observed=2026-08-01T19:56:55.418801Z digest=sha256:88d392754a97d2de121dee778dbecd0b953853b6690e2484e04103ff54166186

Observation 489493e2-fac3-4ea3-8ed5-6581a1b67c42 · outbound

This paper cites SQA3D: situated question answering in 3d scenes.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning SQA3D: situated question answering in 3d scenes

Reference 11

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source=pdf_text observed=2026-08-01T19:56:55.529323Z digest=sha256:96c1a767aec05634a6ad6d3ad3d1136791347c9b29072b822b5837673272b5c7

Observation c85a2062-edf2-4dbd-9d14-ee7746f82974 · outbound

This paper cites Openeqa: Embodied question answering in the era of foundation models.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Openeqa: Embodied question answering in the era of foundation models

Reference 12

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source=pdf_text observed=2026-08-01T19:56:55.716067Z digest=sha256:bbcfa9b6a4818fdba0e587b2d790c5480bb2941c96bb6507606c488e1ed0d610

Observation 424c6d23-31f8-476b-abe9-73927676d422 · outbound

This paper cites Structured 3d latents for scalable and versatile 3d generation.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Structured 3d latents for scalable and versatile 3d generation

Reference 13

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source=pdf_text observed=2026-08-01T19:56:55.816755Z digest=sha256:b80b86b41b69b24578284a454d2c0a6e5b79d7713b4ca6b8f488f8aedc6fcc68

Observation 6f6c35f7-4bf4-42b5-b043-5af772be2832 · outbound

This paper cites Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation

Reference 14

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source=pdf_text observed=2026-08-01T19:56:55.924884Z digest=sha256:e79926e088cc7f48da9d224ced478ebbf302300794c569cae4c69d9c18ce4af2

Observation e4e9d686-74fb-4ea1-9046-2262bc06da59 · outbound

This paper cites TriposG: high-fidelity 3d shape synthesis using large-scale rectified flow models.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning TriposG: high-fidelity 3d shape synthesis using large-scale rectified flow models.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025

Reference 15

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source=pdf_text observed=2026-08-01T19:56:56.067836Z digest=sha256:5d1f4dcc7a046772f62df65f861882c3d32d8f9671061ec17d9221084e68a815

Observation 18f7b8d0-6c5c-40c6-ade2-2e8ddefce8b4 · outbound

This paper cites SAM 3D: 3Dfy Anything in Images.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning SAM 3D: 3Dfy Anything in Images

Reference 16

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source=pdf_text observed=2026-08-01T19:56:56.183385Z digest=sha256:0256f531cfebae3fc7fb87efe7dd45af7c6d3c5434d37d69cb87699d74da5b61

Observation 4bf7b04d-a278-457d-8322-4fc682eec9e1 · outbound

This paper cites Multidiffusion: Fusing diffusion paths for controlled image generation.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Multidiffusion: Fusing diffusion paths for controlled image generation

Reference 17

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source=pdf_text observed=2026-08-01T19:56:56.350417Z digest=sha256:96ef2937f9a50d91ad99e5cbc7b046c58020e867dd2649c5d8390b9f0b9d40a5

Observation 3bbb8f48-dccf-4cf9-b935-987774abd147 · outbound

This paper cites Reconviagen: Towards accurate multi-view 3d object reconstruction via generation.CoRR, abs/2510.23306, 2025.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Reconviagen: Towards accurate multi-view 3d object reconstruction via generation.CoRR, abs/2510.23306, 2025

Reference 18

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source=pdf_text observed=2026-08-01T19:56:56.484172Z digest=sha256:4d7df7e399c75a289d428cee75e89b0ccb20f6c9c890911a4d9665535bfe5719

Observation 0a41b0bc-0356-4491-8aea-3bc955eed8c0 · outbound

This paper cites Besl and Neil D.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Besl and Neil D

Reference 19

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source=pdf_text observed=2026-08-01T19:56:56.605684Z digest=sha256:47a166ff21fac71affa18d618513d79bb7027d7b33ff58eec8b970ab94dd35ff

Observation 5746d648-abc9-4e1b-8f50-1b3dd95baf02 · outbound

This paper cites The Replica Dataset: A Digital Replica of Indoor Spaces.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning The Replica Dataset: A Digital Replica of Indoor Spaces

Reference 20

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source=pdf_text observed=2026-08-01T19:56:56.756917Z digest=sha256:77399a2074b0c73f82b45a72ffc5e3d76abe53bd41b5215f983d877f2ad2cf39

Observation 01a6e1e6-7641-4bf7-8499-e9692c0271fe · outbound

This paper cites Scannet++: A high-fidelity dataset of 3d indoor scenes.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Scannet++: A high-fidelity dataset of 3d indoor scenes

Reference 21

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source=pdf_text observed=2026-08-01T19:56:56.910692Z digest=sha256:dc77f377543c63dc37cc8792a9fce67042c3b4d328671ded74def28912589979

Observation 7c1f0bb9-e443-48eb-8bb9-2f51d028de21 · outbound

This paper cites Amodal3r: Amodal 3d reconstruction from occluded 2d images.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Amodal3r: Amodal 3d reconstruction from occluded 2d images

Reference 22

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source=pdf_text observed=2026-08-01T19:56:57.015372Z digest=sha256:2db3a360cdc8c4b055ccc7b25043676a797fbc0999cb8a8ccff27c7ecd94f6e4

Observation d3472d3b-0e37-4a73-b515-3882d5a66cf6 · outbound

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

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Reference 23

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source=pdf_text observed=2026-08-01T19:56:57.092983Z digest=sha256:0493cb1fd7ea4822bfc480c2f634fb90c5f214445d356a634a7c15017949f479

Observation 8b36c8d3-6884-4430-ae85-c162530b107c · outbound

This paper cites Pixel2mesh: Generating 3d mesh models from single RGB images.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Pixel2mesh: Generating 3d mesh models from single RGB images

Reference 24

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source=pdf_text observed=2026-08-01T19:56:57.191837Z digest=sha256:7700d02fc5a76635ad055844bc14368da14439215af4983b9a664e4a85270162

Observation ef954fae-d0dd-4330-9a9f-48c68afe7c33 · outbound

This paper cites Soft Rasterizer: Differentiable Rendering for Unsupervised Single-View Mesh Reconstruction.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Soft Rasterizer: Differentiable Rendering for Unsupervised Single-View Mesh Reconstruction

Reference 25

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source=pdf_text observed=2026-08-01T19:56:57.272294Z digest=sha256:dbee3da52788c75c699aac68060abf744350e91ae22143092d92c38b88874307

Observation d17d56a2-2bf0-4bcf-bbfa-a100a154b066 · outbound

This paper cites Neural 3d mesh renderer.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Neural 3d mesh renderer

Reference 26

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source=pdf_text observed=2026-08-01T19:56:57.341700Z digest=sha256:ad4eff82f5e3d33a5fc33b523044dc0d09dfae005f7c162edca262bf0f2158b0

Observation 789ac4af-6254-40a1-8826-c0cd89871fbe · outbound

This paper cites DISN: deep implicit surface network for high-quality single-view 3d reconstruction.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning DISN: deep implicit surface network for high-quality single-view 3d reconstruction

Reference 27

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source=pdf_text observed=2026-08-01T19:56:57.399071Z digest=sha256:84496418c963915967a33a28d627a887f886fdf5397642292283d57b5c55c1ef

Observation a358c1e2-cc09-45fd-9a70-f7834a6b64da · outbound

This paper cites LRM: large reconstruction model for single image to 3d.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning LRM: large reconstruction model for single image to 3d

Reference 28

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source=pdf_text observed=2026-08-01T19:56:57.481640Z digest=sha256:5ee33bc282675cec6a3ec1cc22cbba8d7ab5494bd131baf7fe51b9d70eb26644

Observation c9fd54ea-450d-4f7b-9e77-2dfebe8fcb41 · outbound

This paper cites Direct3d: Scalable image-to-3d generation via 3d latent diffusion transformer.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Direct3d: Scalable image-to-3d generation via 3d latent diffusion transformer

Reference 29

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source=pdf_text observed=2026-08-01T19:56:57.565127Z digest=sha256:f61774462ee4d10638d618d30f79e20502f14b386f2fdd4280268d783d06c982

Observation 43ee7758-4615-4d92-b6cf-9d7e2d85ba0c · outbound

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

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimization

Reference 30

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source=pdf_text observed=2026-08-01T19:56:57.622102Z digest=sha256:dd2ee151e535ad7fa32f34e2e4a02be97442e2fd35850be7d37cb4d1e3566d8a

Observation cdd750f0-5f7d-4529-ba75-20da92d8f0aa · outbound

This paper cites CRM: single image to 3d textured mesh with convolutional reconstruction model.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning CRM: single image to 3d textured mesh with convolutional reconstruction model

Reference 31

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source=pdf_text observed=2026-08-01T19:56:57.724329Z digest=sha256:1c889974b872c39b72b6c4a71332a3ad7b8e8ba31c8668441ed4b1d73dba088f

Observation dd2d2445-71da-4ccd-b8a3-c61ee363d44a · outbound

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

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Wonder3d: Single image to 3d using cross-domain diffusion

Reference 32

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source=pdf_text observed=2026-08-01T19:56:57.780214Z digest=sha256:36e2369bad6606a8eb2b60edeec5b2f0f2eedf93cdeaa5e6a782cd29a2bc2d6f

Observation 1eb67e45-42c0-4180-994d-57487e71c125 · outbound

This paper cites Unique3d: High-quality and efficient 3d mesh generation from a single image.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Unique3d: High-quality and efficient 3d mesh generation from a single image

Reference 33

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source=pdf_text observed=2026-08-01T19:56:57.884576Z digest=sha256:65dc312388f97c91bf4e6f720d35513c25a0cb3aa4bc0ddcca40d4ed54b06bc4

Observation 9dd810ee-73e1-410f-ba95-6583da469200 · outbound

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

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Objaverse-xl: A universe of 10m+ 3d objects

Reference 34

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source=pdf_text observed=2026-08-01T19:56:57.963894Z digest=sha256:12ea269fecb29904d5fd43eeaa31d3e3383fa3ba448cb9bedc88dba9ff42eb1a

Observation 8f57855d-c8a7-489b-b08a-6cf49f915b68 · outbound

This paper cites Yago Vicente, Thomas Dideriksen, Himanshu Arora, Matthieu Guillaumin, and Jitendra Malik.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Yago Vicente, Thomas Dideriksen, Himanshu Arora, Matthieu Guillaumin, and Jitendra Malik

Reference 35

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source=pdf_text observed=2026-08-01T19:56:58.021067Z digest=sha256:bc6ca8ebc1aaa31a496459e2a8427791f07d6767d0177ec5330c5d2266e078fd

Observation b60a0c1e-2d5c-413d-959e-9cc899aebcf7 · outbound

This paper cites MIDI: multi-instance diffusion for single image to 3d scene generation.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning MIDI: multi-instance diffusion for single image to 3d scene generation

Reference 36

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no resolver link, observed 2026-08-01T19:56:58.102918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:56:58.102918Z digest=sha256:c69c22d4f42ed8b95f1e3e44695d6723cb3b4823be1ab158fc2882e7a1024348

Observation b1244045-889b-4e53-bb49-5ef2eda1af10 · outbound

This paper cites Scenegen: Single-image 3d scene generation in one feedforward pass.CoRR, abs/2508.15769, 2025.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Scenegen: Single-image 3d scene generation in one feedforward pass.CoRR, abs/2508.15769, 2025

Reference 37

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T19:56:58.172260Z digest=sha256:5d2976a9f63399cc08456ca57e089cdd4621255f0ee64a3d3590b5fcad3de7ee

Observation 0f11126f-a38b-4162-b0f8-3efa70366b5e · outbound

This paper cites Scenemaker: Open-set 3d scene generation with decoupled de-occlusion and pose estimation model.CoRR, abs/2512.10957, 2025.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Scenemaker: Open-set 3d scene generation with decoupled de-occlusion and pose estimation model.CoRR, abs/2512.10957, 2025

Reference 38

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source=pdf_text observed=2026-08-01T19:56:58.250180Z digest=sha256:d9296ad34aeffa499f4c074fbe48f8a36eb27e59978327a074a298dbfbb5517e

Observation 8823df9a-adc9-4d26-92e0-85138c9103d0 · outbound

This paper cites I-scene: 3d instance models are implicit generalizable spatial learners.CoRR, abs/2512.13683, 2025.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning I-scene: 3d instance models are implicit generalizable spatial learners.CoRR, abs/2512.13683, 2025

Reference 39

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T19:56:58.333232Z digest=sha256:8fcaacfbdb4b9bf852361539e3fd1232dc2812cd872b3eae6f965bd8a197448a

Observation 316db057-259b-40df-8f56-bdb175ca19e7 · outbound

This paper cites Syncdreamer: Generating multiview-consistent images from a single-view image.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Syncdreamer: Generating multiview-consistent images from a single-view image

Reference 40

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no resolver link, observed 2026-08-01T19:56:58.412055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:56:58.412055Z digest=sha256:4c4c12c7891ed92cc4a56b1220cda836115dd0c0aff49e1929e940b743b0e2a9

Observation 4edbe80e-217f-4d94-89f4-c45376fcf1c0 · outbound

This paper cites SV3D: novel multi-view synthesis and 3d generation from a single image using latent video diffusion.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning SV3D: novel multi-view synthesis and 3d generation from a single image using latent video diffusion

Reference 41

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no resolver link, observed 2026-08-01T19:56:58.488086Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T19:56:58.488086Z digest=sha256:db07a76528a8f6c3211d83157fdbbe64c59fdbacaa1c383a89d444b4e04d9de8

Observation 846d04ea-37e6-42e0-baf1-8a064ada965a · outbound

This paper cites Ouroboros3d: Image- to-3d generation via 3d-aware recursive diffusion.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Ouroboros3d: Image- to-3d generation via 3d-aware recursive diffusion

Reference 42

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no resolver link, observed 2026-08-01T19:56:58.564972Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T19:56:58.564972Z digest=sha256:e0263723b9d6eba3ce2bab5e9dd4ced1e51443619b5f7c6d60efaeebb6856904

Observation f3d2c40d-316b-4a52-ba77-ce38debc712a · outbound

This paper cites UniRecGen: Unifying Multi-View 3D Reconstruction and Generation.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning UniRecGen: Unifying Multi-View 3D Reconstruction and Generation

Reference 43

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no resolver link, observed 2026-08-01T19:56:58.643810Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T19:56:58.643810Z digest=sha256:dabe988fec1440f5b4be8ec9a9f0a886b6afb47d1f18cbd67b52ec7d691af5bc

Observation fa58a553-52e7-4ca8-9ccc-95766bcb30a9 · outbound

This paper cites Frost, Samir Aroudj, Armen Avetisyan, Henry Howard-Jenkins, Daniel DeTone, Pierre Moulon, Qirui Wu, Zhengqin Li, Julian Straub, Richard A.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Frost, Samir Aroudj, Armen Avetisyan, Henry Howard-Jenkins, Daniel DeTone, Pierre Moulon, Qirui Wu, Zhengqin Li, Julian Straub, Richard A

Reference 44

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no resolver link, observed 2026-08-01T19:56:58.718399Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T19:56:58.718399Z digest=sha256:b054b5ae37a9cb42075f6e43703f1dff6b88f24b1d499dd1e6008e0a55df5ea5

Observation 0cc8073a-888a-446b-8d43-02f90a55be88 · outbound

This paper cites VGGT: visual geometry grounded transformer.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning VGGT: visual geometry grounded transformer

Reference 45

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no resolver link, observed 2026-08-01T19:56:58.790224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:56:58.790224Z digest=sha256:59e8ef7d3408e4e64cde6aefffdaabdf8528435be21fea0b728902085b11934f

Observation bc07c80f-2b51-4cf2-b4ce-f0d80aac3016 · outbound

This paper cites MV-SAM3D: Adaptive Multi-View Fusion for Layout-Aware 3D Generation.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning MV-SAM3D: Adaptive Multi-View Fusion for Layout-Aware 3D Generation

Reference 46

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no resolver link, observed 2026-08-01T19:56:58.847558Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T19:56:58.847558Z digest=sha256:c9bfc2b199e56a77a7ed3e9518a36f9fa66d98461c84597c0cc242db08afca99

Observation 09d9dbca-f372-4b3f-9afd-db3f2057c504 · outbound

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

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Zero-1-to-3: Zero-shot one image to 3d object

Reference 47

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no resolver link, observed 2026-08-01T19:56:58.931951Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T19:56:58.931951Z digest=sha256:b0dc8ebbc4e329eebada7996f70971382e3c040f276f49a52a5eaa87f89bc97a

Observation af591367-65a2-4175-bb16-5b546068cccc · outbound

This paper cites Flex3d: Feed-forward 3d generation with flexible reconstruction model and input view curation.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Flex3d: Feed-forward 3d generation with flexible reconstruction model and input view curation

Reference 48

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no resolver link, observed 2026-08-01T19:56:59.059177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:56:59.059177Z digest=sha256:6dc5ef66302df4c8dcc68dee2e28170112a250af98bed821a52d089616377a87

Observation bf0fa398-28d7-4b3c-a0f1-4d6d93ce551d · outbound

This paper cites A solution to the next best view problem for automated surface acquisition.IEEE Trans.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning A solution to the next best view problem for automated surface acquisition.IEEE Trans

Reference 49

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T19:56:59.164800Z digest=sha256:1e392f172e59bfa515fdb3d8eceea3a238ff2f7e71d277a2a634554682dcdfe3

Observation d061eb67-c598-4730-8f65-fd9e90fc80f2 · outbound

This paper cites Gammell, and Paul Newman.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Gammell, and Paul Newman

Reference 50

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no resolver link, observed 2026-08-01T19:56:59.333769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:56:59.333769Z digest=sha256:371dca05e4ff5937b1bc18bd740d6784d57452a89b4ffd0031f820a3acfba554

Observation db88b412-033a-46e4-99ee-4f9564a65889 · outbound

This paper cites an unresolved cited work.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Unresolved cited work

Reference 51

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:56:59.441055Z digest=sha256:1ae7834d8999a4078a90066f80bfb263bfaddaadc72bcf7e78a4758fce08a195

Observation 8c71992f-8ffe-494c-bf95-683afb53eb4b · outbound

This paper cites Fisherrf: Active view selection and mapping with radiance fields using fisher information.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Fisherrf: Active view selection and mapping with radiance fields using fisher information

Reference 52

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no resolver link, observed 2026-08-01T19:56:59.546214Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T19:56:59.546214Z digest=sha256:98ff8c00c352ae13d2b05d2d43b53620d857dfdf6f78f84911e41bc4d5619641

Observation 0806e89a-dd62-4723-8ef3-b0e071c8e993 · outbound

This paper cites Pop-gs: Next best view in 3d- gaussian splatting with p-optimality.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Pop-gs: Next best view in 3d- gaussian splatting with p-optimality

Reference 53

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no resolver link, observed 2026-08-01T19:56:59.552386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:56:59.552386Z digest=sha256:35778f93eeefaa555f0861dde9de765a8aa745afc226cefd061972bdde759ca8

Observation 1564e217-5b7f-439e-9b05-1c2073c0b295 · outbound

This paper cites Next-best view policy for 3d reconstruction.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Next-best view policy for 3d reconstruction

Reference 54

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no resolver link, observed 2026-08-01T19:56:59.622202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:56:59.622202Z digest=sha256:8944461dffb784216982b93315648d1425abc5f4ef5f0e8c2105ad8af14761b4

Observation 15572ef6-1305-4bf6-8e4b-f89bd90ddc0f · outbound

This paper cites Gennbv: Generalizable next-best-view policy for active 3d reconstruction.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Gennbv: Generalizable next-best-view policy for active 3d reconstruction

Reference 55

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no resolver link, observed 2026-08-01T19:56:59.770128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:56:59.770128Z digest=sha256:21736363de30555ed60f633c073f8c47184d17133ce28a34f5d14a085347c567

Observation ccfa3443-de43-4632-a7b4-218e634e6fe6 · outbound

This paper cites VIN-NBV: A View Introspection Network for Next-Best-View Selection.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning VIN-NBV: A View Introspection Network for Next-Best-View Selection

Reference 56

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no resolver link, observed 2026-08-01T19:56:59.902728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:56:59.902728Z digest=sha256:43c4ee9ab1b66fed70f7965ccebbea4d533a4249f510b6743abefc794764d515

Observation 0f0dac64-9d3c-44ff-a1f8-7aeca779cfaa · outbound

This paper cites Decompositional neural scene reconstruction with generative diffusion prior.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Decompositional neural scene reconstruction with generative diffusion prior

Reference 57

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no resolver link, observed 2026-08-01T19:57:00.096647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:57:00.096647Z digest=sha256:add400570d069408b34ddfa64b297d077899bfcb15821d9911a4072da7e6b135

Observation e90c35e9-2f56-4831-8248-3d9897c1fe95 · outbound

This paper cites an unresolved cited work.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning Unresolved cited work

Reference 58

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no resolver link, observed 2026-08-01T19:57:00.252781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:57:00.252781Z digest=sha256:0d527f940b3c8550449cb3d7ff4186e87da606b789c39068958dda493966fb10

Observation b3dbbfbe-44e2-423a-a1d1-cba0b16125f9 · outbound

This paper cites k-means++: the advantages of careful seeding.

Scene-SAM3D: Multi-View Scene Asset Generation Without Fine-Tuning k-means++: the advantages of careful seeding

Reference 59

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no resolver link, observed 2026-08-01T19:57:00.411944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:57:00.411944Z digest=sha256:f24f9ee3677aa4b032772d93812d26a77bcad7165c0542fe5c66704ad83b6c21

Pith citing papers

No inbound Pith citation observations are available.