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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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
  • unresolved59
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  • malformed identifier0
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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=sha256:9b90278be162612315cb7f0296108d418cc786a3e54dbdc5b2f23a79a09638e9

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:eff710f0fca50dea2ea06acbb449bdd60152f2e873b72864bbccf1d6bd46dad7

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:d30ca253219eff3bc736d6bcb9a9fbb0f3995d829d880b7918643aebce58cb80

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:f1ce6c631e51d6721f33063270cf07a084bc5ca774ba8be59a14ce3a73e9b384

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=sha256:0920b3b0ec75cd73bc602563236d35f5a7248fd339d38a31f593dfe41d1a803f

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:f9c30a872fe9e9e3fcc69dc98e3c270da23b282771cd8de01dc1c1c0f58b453c

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=sha256:5f58327b92fee9b7da4743099df993b8787e76889b7df4b64f13a64051acffb8

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=sha256:9816582380fd8ea0aa78d5e3d6e54e0d7ac5f22f17671b01fea5164748109cff

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=sha256:99407e7474fd14fa78e6a7e8b17381a9c8aa32cbcb3ffc0d9daffe1ccaf3586d

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=sha256:70b3840739330d4b330864dca826ac306d78706ab472abf6a8eb0bd9af39f052

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=sha256:7e5c0194a13ba846f782f04a9e4c3303ffa9baa6b4a7ae99572f4a5351013e45

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:abb9d0002433bf7dd9a71e9c266c9cba12f3b2d93601e20975d618c06a2f76fe

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=sha256:31118cdb2cb5e252ea695805e0562b482b156c9af598f524e8418d9ebaaa1856

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=sha256:6cc5d48f5dbe7d3ac6a003997697322c3e21801fb0219d55f43b4da91ece35f3

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:b03b99742308b0803b2168cb63de94d830bf045ef22876eb84b78a5c3b479910

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=sha256:8c4f19b865a53d4bec20a0892a61359c2d0216e04c87d025884719dd0f071c26

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:a1bb8c9cf9565abc49d5705be09a2b0cdd6620bc779cc20dbf274e08afec27fc

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=sha256:6715857c63c579314a2f93f8b4e0732e1b90da05e7fd8afc0c895eba6eb8e038

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=sha256:4d82780c81cfdaf088d8bf990469a5a82a9ae58089a28c40efedf640508e628b

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=sha256:5e9e6f31237857ebf963d657581bd1f18b2c1fb4ec77756f31e6868253c82d92

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:f729c8ca7e1a33d55196feccdbde5263f053db046f41e1e0b08682a6d58a0c43

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:dc1c9bddfbbf647feda10498c1c61e7ba9d0de896ff900e553782594ccd60c18

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:bbd2c04113f4a08ad4392f4fc4b4a0ee23bb2e8d61e643100d875d5cd8ab7846

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=sha256:36bf715e12941667d988c1825c86653fb8d1945ab42e08d1066b53b2bf118e59

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:e9cd418268163b3bcc8730ba7b679f01f754e8a691e869965d2eea0a23f2be28

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=sha256:3f13d69a8cf566dc07b2d3bc9f96aae554c20bc5a1c7ceba36716bfc8d5ca326

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=sha256:47e2ae6a7c2ac0b23eda952343751af9fbdcd7f38979cde5ffe5bb52e6b38541

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:c6da61fa55cb215cefa8032ed92302559de91c4e2f7072ed65810219532d0a2f

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=sha256:0557e7ef9965f75bf1678cea9107f7345574a3d7be5a3fab8d2350c8e459c17b

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=sha256:6d26e1e1ca2411b9cfd01e1e57ea354adb922f3b23fef7914b1d9ccf22411f53

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:aac7da77f18c4569b592d4121d3b3b348355b1caef98795be2852eb97c7faaae

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:afaccba0223262b8c6ca45943475e2a666606b54f065c6a6aad17b48d9cd5a5b

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=sha256:2a548ad68877f277e79eb1d108314d77cfecdb2d2d9053e608ea6e0a14cbb32c

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:eaea25b9133b67fa0feeb9e52202af657e6909af5fe622dca9978472e74724ce

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:a0b90ad5b918f87875bac3d82e818b8c14f09371d6789bdbc5f75f37ab2b3740

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:d12ff2d516ef2ba6c581e4c04f1b6a086fc7cfb69eb8abd055cda701a6059d70

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:b3a5c4e2f46919dc56e44a4e0c514c8c399aa4bca5b137335bdaa2ade528d02f

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-reported events for the cited work

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source=pdf_text observed=2026-08-01T19:56:58.250180Z digest=sha256:e37569125fa18022c60edecffc9243e85e8e813b505986f9391f38514545b34e

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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no resolver link, observed 2026-08-01T19:56:58.333232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:56:58.333232Z digest=sha256:ec855e537a66da7e403e3837ddf38f3fdea5bf8aeff648e60501ed90ee816dc8

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:e01669c6e9ee5ad83dbf522775265391c9e6b3f7671b8c0d9183207533fdcc2f

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:56:58.488086Z digest=sha256:cfe26439606dcf24c3a3b9ef90222bc169b8468d496c0120d2d45c4228226bf6

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:de95f8b5343d040a910729fe92b73a35701c77771b0e3ecf1c9303e2a80ead97

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=sha256:473cf2186995f3a96a4deecb2739f68b0b46a858c1ae61259aa332c3e54e8402

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:56:58.718399Z digest=sha256:ac086dac7ee96ff4540022d5e1c70894ea2dfe4adbfbaafd60401d8bd1297066

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:a40ff727cf16100a9eda32eac2e5877f3025fff073fcc21019c9d74c7f9821c3

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:56:58.847558Z digest=sha256:948f6e668315b335c2f84af53f28763f695b7227649cac10ebc665e9980b88e6

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:56:58.931951Z digest=sha256:e78b4c9e4ba22804956dd4b05bc727564871c67abce0ffd59f4c819c317d1d3f

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=sha256:5c6bb72b6d26a72e8ac58cc2387e27c7b18482348c7d378cd946f640aa9c54bd

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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no resolver link, observed 2026-08-01T19:56:59.164800Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T19:56:59.164800Z digest=sha256:d3ea81f8d50fb4a320c7ce495ba949b91210862e7a5af7b74c47c31f47ef0f4a

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:56:59.333769Z digest=sha256:d8393c5163997f6a57c72f39c5dada59f2b970d9eb6d497434490e720443ec85

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:e6f92cea5f2c912518169c4c053f1b57f26dcdcba74fe069f320f228dcd442bf

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:56:59.546214Z digest=sha256:629a26aff91f82222322fd5809a5b1540b98840bc7faecbdcae8dc1bddc1e8b7

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=sha256:0db0ff9339605facc17b82ad147094c06abb25b3d9a7691912682957810f3957

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:a485faa81aaf3a0f690b393141ebcafb35051591d35d38ca119fe49c31d774ae

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:e595908ef59cb2deeb4d843fb1f8520d579625cf14a4ba08fd59600e06004b9e

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=sha256:050aaa6d625d1e6c68d66410ab7376a6ef7557ec8ea66e358639ee2db314eb57

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:e938307c1dce25b8d96b09afde18a2df66c8463a6f47d5fdce3d5c436418b500

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=sha256:89c1df5eb5ab51cb3c24e4fb0664e6abda0c670fa7e6afa82423e6201c07473d

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=sha256:6c879781e000a10ada596bcf2d305c31eb26bb371041d7260d5cbe001d134c07

Pith citing papers

No inbound Pith citation observations are available.