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Paper Citation Record · LEDGER

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

As of 21 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 2026-08-20T06:33:59.587034+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
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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=sha256:16cd4d65655b7272107222aed4d044dd063cca466b99820c6608958c44f9c238

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=sha256:6f295fb639c132339353ec4234efdddf7f2de2d9b86b97016b1b1633a0c802dd

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=sha256:06c8762179adceb549820c9798ae975b457d13d28cbe0182e17aa12beb207b4a

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=sha256:993da40d45a67f217155e7792be2d197fedaf9bfb94cdb02545524c0f0fe5e58

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=sha256:7c471542dab04aec9156e0e2412c86b9cbcb639b6c04c1259bb82e366645af7d

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=sha256:3ac715487ca29ef6e2426d63825c9d2ad5dcc8f2d55017a1568521d8f394d5e2

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:a49e527767f58b7678e8d223238909b8abd09826d614267e6e5f5fc506f74809

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=sha256:70d11727f894af6b47e64f2ccbc1f7f4e9934efb26f90ffd1c49db550558df15

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=sha256:74ed0a9996a605fc9ce573571767d771662e9355250be82452429c9bc34bff13

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=sha256:2b3d44af647b7ca71a10db349072a6dd83213d06165fa6af30c45b6ee435b09b

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:a07a8e0c39c9432c686f944ac325c416578af296fc165c91ce75e90a3c810a62

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=sha256:5b4e1fae16d275bbff76f3489b83eef272fd524cb20b1a6b3b7c57cd23e0f0ba

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:d32d0dd70263c481a0f9313bd42e09b19c88fac220a775ec7c6a5981c107e9f5

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=sha256:121c4093f0a36965568c4a02beee0b32348f37a45cb1dc5fb422738a50b7d3d2

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=sha256:069b57524f958ae2e32cca92619a46d709a91c8b51e401135155b6638d3e4b19

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:e11ca65cf031c43254b4aa7745636d39c106d53d6079d866c278f19600e114fa

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=sha256:893815f8c74ffc4de1f8b70f9498353df2fe85b40be723f4c1cf157a570c3a57

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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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=sha256:576686c7a28f93065eb62798bc4a52b48a401654ec9fb7adc6bf76af48b88572

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=sha256:6834677c688e02022fcbe8a7619d5fa15bd18b7c3ab3725ff7511b77638ca823

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:d8187866889aa4878dc64408d62a4b6fa243c29497ac2c0a482790c4bcd74ede

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=sha256:801f0a33a021ebe4bc471eae261fdb7e5bf84354bc866a7d591a5fd89e9cffcf

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=sha256:3f77066f62fe136787324ced7aa98fdab181aee450eb22858bcc2966101d37b0

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=sha256:6379a1db2da1cc8e368c776b759c3798fb3d3953789be2ed0a31351b0f29bbe9

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:c87591b02caa78127e45dc9b63b66d3ddf39d78f83325fd0f4f7fa6ae711c2fe

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=sha256:41633ebdeb52d7dc991c9c685653c90bbf70649408c6cbebcc69c88a34d63e76

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:c8f233bf6bb8c8f10318a3ba150366c6865a1168405b8d71d3a10915ea4aa7f7

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=sha256:08a56c233b4c13dd1f9bb8817cea5acf19fcd916938baff41363e0219dbcbf6e

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=sha256:25655ed68187d8b096c58b186d3d609ade544a2b26d15c12710325730aee0a6e

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=sha256:0976ba24a35ea1470c91388800257df7d817cbe52db1c2cc8afc07bdcd7d54f8

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=sha256:2f814604389d77cd67109e09b648119f2eba89f7c7e6a17461f8a9f190860264

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=sha256:89acbfac7d3afea8ff664612fc43b592a00fc9aa07ef5d282e01f4cc36248c82

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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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=sha256:33387a99d13d136a07ca3d58c672dfe578fa385596bec9e9d100391a1bdb3b1a

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=sha256:6eb6948814f6a15bb5e5b9b30ce6a7e965bd6d3405993712ba5742ca8ddf7368

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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source=pdf_text observed=2026-08-01T19:56:58.102918Z digest=sha256:2745accd47884486736599178d321269971541e84ad4d4078525ac581e6c2fe4

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=sha256:1154ee7f68d4d0d847ddb52f61eea21e0345591c897ac0ac14ecd211b9cb2721

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=sha256:7bbd673490e80091f8f10ededd1b5caab57b2492822c893409abb29d8886b7a4

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:56:58.333232Z digest=sha256:b00c5bd3c40be99aff1a8951d3fe4b256bcf28120751bf39e442660bfeb525e4

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=sha256:4c88edacdfd1f5f32caee144c2d0fdbe61f6d4b72ccdd2d0ea564fade95b9891

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=sha256:0b3846e664356a54d494d882492d79a693b8cf0b68deb8ead74630a75c70053a

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:56:58.564972Z digest=sha256:b0011e4dd4f96cb68c1f0b80627deac5df1bc0a7ca6e17948f3df5a87a6f1ed1

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=sha256:78abba97d8d347d4c322d431cc84a0c789d778b51f0f9083346ceae7721cf289

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:b9bc5434d2a4e9c2055fd9435bc59fc933b23b53e46c62e957d5856690e81e32

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:f23e2107e0a8a260e224385bff5ef9e47b305b4f993f82080c4a7c32f283c63c

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=sha256:0e2ab59ff1610a6aa3b5dd42bda90eeb7d1eab30c6f7b79ce12196be0bf75eb4

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=sha256:3d61c24ac59a9e010e08b6230cb2b39f670d4440380fb98a758a648ec107c319

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=sha256:7447ef5f41ae2eb9e038c21754391256f25eb66258b6add46aa4aa996f9907d5

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=sha256:7de439b33bf76a91fe98e440eafecda1c27d22d52de5e104eec48d926af7d81d

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=sha256:93919f1d544e93a1da45f2b04307e9d3122344308cfdc34016664cd361c1e45f

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=sha256:77ac063d192c8c5c7689b80c63d9611279ddaf669161d3ca7a211b2e2b6e18d1

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:ecc9633c588b8bf4ecb88732a1bdbac92b7c99b057daa524b916128bdcfc7af1

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=sha256:920227743d5272659dc0998035482890bc63acc151d60e5570b3d5a2d0eb549d

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:d07b8c3ddedec6eeb8c273cc8e7fdffbb857832b4b82889fac1fc9479d0031db

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=sha256:79ea4593e375ca0d51a81978ba7980fd98914f8626e2a30086a859396d8b4263

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=sha256:6047e90bda55b5f3abaa2a01eb9e9a40e3c65ed302296c5c0038bf95a899694f

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=sha256:6412816c76a581e34b5cd38f72554d949805bce0832b2aa4cb454dc3cc0a7236

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:a7456340a6baf50c081a8ffe1d5467451c520a1e23979527fe9880dfde0e5056

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=sha256:8ccc40f35016093d7388cb508e7f99e8e9f788d8e0ae10de6274adfdbc290d30

Pith citing papers

No inbound Pith citation observations are available.