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Paper Citation Record · LEDGER

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes

As of 20 August 2026, this Paper Citation Record lists 100 of 103 outbound references and 0 inbound Pith citation observations for arXiv:2412.11457.

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

pith.paper-citation-record.v1
2412.11457 v2

Coverage vector

measured 100 of 103 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:58:48.669334Z

measured 100 of 100 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

100 of 103 outbound references displayed

  • verified exact0
  • verified fuzzy52
  • unresolved47
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cfe392d6-d1a0-477f-9ff1-b66e91a50d8e · outbound

This paper cites Omni3d: A large benchmark and model for 3d object detection in the wild.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Omni3d: A large benchmark and model for 3d object detection in the wild

Reference 1

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source=pdf_text observed=2026-08-11T14:58:48.330010Z digest=sha256:10e2ea3dbd2ec6efa53c708fa2ae1d26b9fb96c2f404f813a227c4e7e6165ac1

Observation e05a6b54-cdc7-4927-a298-dff066d135e6 · outbound

This paper cites pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction

Reference 2

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Observation 761bb293-54b3-4b63-b5bd-e59551720448 · outbound

This paper cites Scenetex: High-quality texture synthesis for indoor scenes via diffusion priors.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Scenetex: High-quality texture synthesis for indoor scenes via diffusion priors

Reference 3

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Observation b5a0119d-6323-4acc-af23-6ab7f5203d03 · outbound

This paper cites On the Importance of Noise Scheduling for Diffusion Models.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes On the Importance of Noise Scheduling for Diffusion Models

Reference 4

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source=pdf_text observed=2026-08-11T14:58:48.341462Z digest=sha256:f2d3640fc644b61e2f54fa28a0277911b7382210380089767f3edf77fefe1229

Observation a7b307e3-4069-48ae-807e-79fd96d22be8 · outbound

This paper cites Cascade-zero123: One image to highly consistent 3d with self-prompted nearby views.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Cascade-zero123: One image to highly consistent 3d with self-prompted nearby views

Reference 5

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source=pdf_text observed=2026-08-11T14:58:48.346354Z digest=sha256:57f3a310914ac7bf6c1462b78ddc27c2a1f76d6451e693ec0bab03c0a02c8388

Observation 6a017c17-90d4-4a84-80d9-1d3de1f24d2c · outbound

This paper cites Single-view 3d scene reconstruc- tion with high-fidelity shape and texture.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Single-view 3d scene reconstruc- tion with high-fidelity shape and texture

Reference 6

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Observation 5f06ef78-75d6-47c9-a151-0822fb6f7c89 · outbound

This paper cites Comboverse: Compositional 3d assets creation using spatially-aware diffusion guidance.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Comboverse: Compositional 3d assets creation using spatially-aware diffusion guidance

Reference 7

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source=pdf_text observed=2026-08-11T14:58:48.353805Z digest=sha256:e60953c0836d09053428a12b07373fc0b27f62ccc82019789be3abde159b6669

Observation e9caf5f5-4a9c-4918-a0b4-3dd10b719da2 · outbound

This paper cites Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images

Reference 8

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source=pdf_text observed=2026-08-11T14:58:48.357673Z digest=sha256:8662bbca68329d49d0e33f86b218555de042679e695b2c77a6631ad52a5c2c3c

Observation 2780389a-47cf-4d35-992f-66e4c24ee143 · outbound

This paper cites Blender - a 3D modelling and rendering package.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Blender - a 3D modelling and rendering package

Reference 9

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source=pdf_text observed=2026-08-11T14:58:48.361517Z digest=sha256:26538bd2c41c079ab73e960f41564cc9e08c51c9fb849401bce3f217353348ec

Observation c85672b5-934f-4e0e-b518-ea060b0302ca · outbound

This paper cites Anyskill: Learning open- vocabulary physical skill for interactive agents.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Anyskill: Learning open- vocabulary physical skill for interactive agents

Reference 10

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source=pdf_text observed=2026-08-11T14:58:48.365164Z digest=sha256:75aa0e0478ad4a8ed272a8b72cc683dd8038666cc991ea8bbccab1f14ae7ee78

Observation 36922264-6607-44fc-9666-d1709079124a · outbound

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

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Objaverse-xl: A universe of 10m+ 3d objects

Reference 11

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source=pdf_text observed=2026-08-11T14:58:48.368889Z digest=sha256:9e3538a04d80e33c523b56a71afcb7c347439295e2812f85666c5f8a6b8e3ee9

Observation b7f2ed2d-e08e-4fd9-a838-a981c076199b · outbound

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

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Objaverse: A universe of annotated 3d objects

Reference 12

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source=pdf_text observed=2026-08-11T14:58:48.372311Z digest=sha256:9abe85b128e35662c40743bce72b1b2cfef335d6c1e06cad0906482419e5b392

Observation 2ed6a432-7503-43e1-82b3-e820e759b342 · outbound

This paper cites Diffusion models beat gans on image synthesis.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Diffusion models beat gans on image synthesis

Reference 13

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source=pdf_text observed=2026-08-11T14:58:48.375588Z digest=sha256:908cc34577872b74461e5bb84b64a9f76b1d7f0c8f699b781ceea9db0c075e50

Observation c7543ed9-31e4-46e3-8c0c-01d3cae2c39c · outbound

This paper cites Gen3DSR: Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single View.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Gen3DSR: Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single View

Reference 14

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source=pdf_text observed=2026-08-11T14:58:48.379565Z digest=sha256:3e14dce2bc58a4c892a160bd92132a41e4a5f7d931c1ea5ac5ae36a6073d4af0

Observation 7783aeff-3ec5-4897-8ece-6895bb24e113 · outbound

This paper cites 3d-front: 3d furnished rooms with layouts and semantics.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes 3d-front: 3d furnished rooms with layouts and semantics

Reference 15

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source=pdf_text observed=2026-08-11T14:58:48.383250Z digest=sha256:f8f42147dbab786a5de95e5673d4b7d2898fa1f60d9ab3b7faaae82b05fa1bc4

Observation 19c1d0b1-2f6e-4dbb-9c23-09bdbd86deac · outbound

This paper cites 3d-future: 3d fur- niture shape with texture.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes 3d-future: 3d fur- niture shape with texture

Reference 16

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source=pdf_text observed=2026-08-11T14:58:48.386784Z digest=sha256:067bac836198e22fc166a1b4e02253ff61deeba38ff95fad6a74f5474428c1ea

Observation b7fbf83e-5c97-4025-a0aa-13971d367bec · outbound

This paper cites ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes

Reference 17

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source=pdf_text observed=2026-08-11T14:58:48.390173Z digest=sha256:590f4252c1032b349004818df0ddd102698c04fb8d16e7162db00ffecb607770

Observation 20173af1-b389-4458-82f1-830fba100cb8 · outbound

This paper cites DepthFM: Fast Monocular Depth Estimation with Flow Matching.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 18

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Observation 9bf00527-d096-4cf6-9740-469d181fd149 · outbound

This paper cites Denoising diffu- sion probabilistic models.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Denoising diffu- sion probabilistic models

Reference 19

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Observation 130053ed-8ace-49d2-8c55-bcdb2bac4b85 · outbound

This paper cites Text2room: Extracting textured 3d meshes from 2d text-to-image models.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Text2room: Extracting textured 3d meshes from 2d text-to-image models

Reference 20

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Observation d80e61b6-b9ad-423a-bd80-2b6910a6ec8f · outbound

This paper cites An embodied generalist agent in 3d world.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes An embodied generalist agent in 3d world

Reference 21

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Observation 3e94c9a1-c2db-48ed-89b7-902a3d03fe44 · outbound

This paper cites Unveiling the mist over 3d vision-language under- standing: Object-centric evaluation with chain-of-analysis.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Unveiling the mist over 3d vision-language under- standing: Object-centric evaluation with chain-of-analysis

Reference 22

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source=pdf_text observed=2026-08-11T14:58:48.407228Z digest=sha256:a39c256b6a067275c5e2b6cb56f607c9a590a12a0b5a56227122b834fa553e87

Observation 0c2eb99e-c551-4b28-92e2-e32b3665b605 · outbound

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

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Epidiff: Enhancing multi-view synthesis via localized epipolar-constrained diffusion

Reference 23

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Observation 6b46e4d0-6ac1-480c-a5ac-ce0fe76b6f6a · outbound

This paper cites RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturing.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturing

Reference 24

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source=pdf_text observed=2026-08-11T14:58:48.413761Z digest=sha256:e32948e1ba6ea3953ce83fc7cda1e3e346addf25d73088f9ef622888c6cfe286

Observation 98a1eb1a-50f6-45e4-9160-a17856a00be4 · outbound

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

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Putting nerf on a diet: Semantically consistent few-shot view synthe- sis

Reference 25

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Observation 35c7acd4-5281-487b-9da9-444b0705e171 · outbound

This paper cites Zero-shot text-guided object gener- ation with dream fields.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Zero-shot text-guided object gener- ation with dream fields

Reference 26

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source=pdf_text observed=2026-08-11T14:58:48.420261Z digest=sha256:9e8e515ccc376a27c2117516616013ccfc6bfe528ad9d030502ac5ca003237f5

Observation b51a8801-74c9-4bbf-a9c0-6cf6ddd05430 · outbound

This paper cites Sceneverse: Scaling 3d vision-language learning for grounded scene understanding.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Sceneverse: Scaling 3d vision-language learning for grounded scene understanding

Reference 27

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source=pdf_text observed=2026-08-11T14:58:48.423617Z digest=sha256:bae7b9bee7cd825385d0135856baf08f311ce7884a9b45a204d0c69266f4c385

Observation a1645a1b-a5b9-4c3d-b969-5b228bae92c3 · outbound

This paper cites Autonomous character-scene interaction synthesis from text instruction.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Autonomous character-scene interaction synthesis from text instruction

Reference 28

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Observation 685787a8-d1d8-4690-b097-f6c15c8c12f9 · outbound

This paper cites Scaling up dynamic human-scene interaction model- ing.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Scaling up dynamic human-scene interaction model- ing

Reference 29

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source=pdf_text observed=2026-08-11T14:58:48.430444Z digest=sha256:825c6f6b4bddaa9274d6c59a96ed717ab444a430537b544da2bf14939072a8f8

Observation 0063f61d-a1d8-4f60-b5f7-c29d63c10f19 · outbound

This paper cites Efficient-3DiM: Learning a Generalizable Single-image Novel-view Synthesizer in One Day.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Efficient-3DiM: Learning a Generalizable Single-image Novel-view Synthesizer in One Day

Reference 30

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source=pdf_text observed=2026-08-11T14:58:48.433548Z digest=sha256:e0d5834bb91928554e7d50feb2844024a0aad21e26f2019d827264ac845724b1

Observation 208223de-9171-4092-b746-8b743597257b · outbound

This paper cites Repurpos- ing diffusion-based image generators for monocular depth estimation.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Repurpos- ing diffusion-based image generators for monocular depth estimation

Reference 31

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Observation 8b7ae2e3-f9f0-4d65-bc91-1e3e56cf7836 · outbound

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

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes 3d gaussian splatting for real-time radiance field rendering

Reference 32

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Observation ed37adfc-3dc3-493c-982d-7ec90d7f1524 · outbound

This paper cites Segment anything.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Segment anything

Reference 33

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source=pdf_text observed=2026-08-11T14:58:48.444622Z digest=sha256:31fec9f4e91e6b290b010b3cfa1bb00c8d469a044197d280fed284f9f47b4c12

Observation 6f523239-9369-4096-855c-2986ccfb97c7 · outbound

This paper cites Eschernet: A generative model for scalable view synthesis.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Eschernet: A generative model for scalable view synthesis

Reference 34

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source=pdf_text observed=2026-08-11T14:58:48.447978Z digest=sha256:12392f9de2f8e4d64871941bd1aaab66399f36c871cb8b5beb49ae16012c1fc5

Observation 02e71eb2-54a7-4309-976b-a167601daed0 · outbound

This paper cites Ground- ing image matching in 3d with mast3r.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Ground- ing image matching in 3d with mast3r

Reference 35

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source=pdf_text observed=2026-08-11T14:58:48.451211Z digest=sha256:77ac477a6a8a8125ae2c3e86b443b3f7951b49a4760f9d433bfe9d97f53599da

Observation 0176c219-3939-4b3d-b98c-5553bf5d4c74 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 36

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.454551Z digest=sha256:c354f5f628476283f94881b7647457ba77a49ed5c33100dcaed798583a2be97f

Observation cba8d3bb-dcb8-44ce-9e47-64bb6d38b4f5 · outbound

This paper cites Gendexgrasp: General- izable dexterous grasping.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Gendexgrasp: General- izable dexterous grasping

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.425588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.457978Z digest=sha256:54bff08f2671f3f1bfb1f82cf906fa8bea825f72dfcafc5e54d58326b343b0c3

Observation 6112a08e-bc9b-4597-a601-a8f1452894ca · outbound

This paper cites Ag2manip: Learning novel manipulation skills with agent- agnostic visual and action representations.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Ag2manip: Learning novel manipulation skills with agent- agnostic visual and action representations

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.415047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.461251Z digest=sha256:3c4b6d24818a90f5edee43f8b7f460ecf322883a8e068c0fbbe8a21c27fe3f35

Observation f20bc489-37f5-4492-9ac8-4d0dd6899a5e · outbound

This paper cites FlowBotHD: History-Aware Diffuser Handling Ambiguities in Articulated Objects Manipulation.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes FlowBotHD: History-Aware Diffuser Handling Ambiguities in Articulated Objects Manipulation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.464582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.464582Z digest=sha256:05d25ac61a13ae001b1a6f915d90b7ce185ebac7eb67b260cecdb88c5c2c9fe2

Observation fedc6044-715e-4d5d-83ad-34acd74d0acb · outbound

This paper cites Grasp multi- ple objects with one hand.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Grasp multi- ple objects with one hand

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.405115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.468335Z digest=sha256:ce09edb31cf585a23d4a9d89a1ac0a2d35028cb60ccdad0570150ea3bf2c4b70

Observation 77b051b8-d0d5-4a96-86f1-e5690f900ae2 · outbound

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

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Magic3d: High-resolution text-to-3d content creation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.394351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.471427Z digest=sha256:8dcae8d8f8b24733f744e1cee6304db594b9787885102dce4dd167353889eac3

Observation 95f2e7da-807d-4261-9939-e971f2e47b63 · outbound

This paper cites Consistent123: One image to highly consistent 3d asset using case-aware diffusion priors.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Consistent123: One image to highly consistent 3d asset using case-aware diffusion priors

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.384719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.474635Z digest=sha256:e468e1800e7ea7ee031e4784bc9049acc17c7404f00bf9612bc93a93d65ce397

Observation fd675dd1-24b5-41a4-a001-748cbb07fcb1 · outbound

This paper cites Multi-modal situated reasoning in 3d scenes.Advances in Neural Information Pro- cessing Systems (NeurIPS), 2024.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Multi-modal situated reasoning in 3d scenes.Advances in Neural Information Pro- cessing Systems (NeurIPS), 2024

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.374512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.477902Z digest=sha256:7a52f18c79b3702c26bf545021d8cb7cc93f147f82080afb9b5ef086f22c9741

Observation f5425424-61ee-496d-91a2-c9ecedf947e3 · outbound

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

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimiza- tion

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.365019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.480982Z digest=sha256:12c7d6a5e66db85f81084e4cc4b586ea4d90cc26ccd7e7d85027718dd088626c

Observation db482454-0462-4fc3-a62a-18154f29abf7 · outbound

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

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes One-2-3-45++: Fast single image to 3d objects with consistent multi-view generation and 3d diffusion

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.355018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.484247Z digest=sha256:4c1a6ebd775cac4eb97c9f5bb0b1fb35136af2cc2a000c8cd0bd278e9b43dfd9

Observation 2ed4584e-0ab3-4894-8333-80ad551befd3 · outbound

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

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Zero-1-to-3: Zero-shot one image to 3d object

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.344072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.487419Z digest=sha256:0f274b78e3d5f14e9d529726e6a10aa56601331d9040d8c72a88a51fba1239c1

Observation 3f7ff390-6cff-4686-8d8a-acd2f62c39c3 · outbound

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

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.490863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.490863Z digest=sha256:3baef5a7c22d3169ff25341d3244e2512e6471d91d1844bc2fd57a77146aa8f8

Observation c707ed77-cf9a-4808-898b-fa9a27c8b2ac · outbound

This paper cites Slotlifter: Slot-guided feature lifting for learning object- 10 centric radiance fields.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Slotlifter: Slot-guided feature lifting for learning object- 10 centric radiance fields

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.333050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.494617Z digest=sha256:71a8500af329e3621a8949e5baa1d7ac40bdb31ca94fad234d5e429f7b36d69e

Observation cc661913-f8b4-4729-aa81-9bb746e73427 · outbound

This paper cites ArtGS: Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes ArtGS: Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.497863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.497863Z digest=sha256:e7dc02f1b2f5bc77ab1d64a239a143143a3628c9b3439193a40a1edf42320339

Observation 6700387f-f707-4047-bff9-ba6949ee4ad1 · outbound

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

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Wonder3d: Sin- gle image to 3d using cross-domain diffusion

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.501483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.501483Z digest=sha256:767f1c52d3fdb4a9380f8a39659f82c363958dabaa78c945a33e231f2587ff52

Observation 7f55ae47-31e7-4285-aac8-c7945be34766 · outbound

This paper cites Manigaussian: Dynamic gaus- sian splatting for multi-task robotic manipulation.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Manigaussian: Dynamic gaus- sian splatting for multi-task robotic manipulation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.316239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.504696Z digest=sha256:dc1af6b5a1dfd04204a62eeefcd742d9fffe6375c89267af230d11823d2c2d8d

Observation bf918113-275c-4ba9-9cb9-cb1d3adccc7c · outbound

This paper cites TACO: Taming Diffusion for in-the-wild Video Amodal Completion.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes TACO: Taming Diffusion for in-the-wild Video Amodal Completion

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.507473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.507473Z digest=sha256:b00fb380fe3e3d9550d864c74239b76770480db424c6dc6905a56b089846c6f8

Observation d87f0023-53eb-4f46-94c7-7ff6aaa5273d · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Repaint: Inpainting using denoising diffusion probabilistic models

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.305917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.510496Z digest=sha256:77978a5b3adbb0584f306729c06bb1772fa92cd858723706850b914fdf09d9b8

Observation 3b7ba7ae-faa0-47e3-8e2e-39d3d5ebbc9d · outbound

This paper cites Unsupervised Discovery of Object-Centric Neural Fields.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Unsupervised Discovery of Object-Centric Neural Fields

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.513419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.513419Z digest=sha256:10150ad5206872f5cb56ec7507e88fecf80cd93f79959b4c7665ffa3f59498f3

Observation 05184574-3ee2-48e6-bf35-fe02f7fd8767 · outbound

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

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Realfusion: 360deg reconstruction of any object from a single image

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.295177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.516282Z digest=sha256:1ac36fdc4f714f550014701b02607845b29e04fa13deeb3120b0250f0f4cd545

Observation c8644b56-0ccc-4504-b6eb-1c61c3704174 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Srinivasan, Matthew Tancik, Jonathan T

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.519191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.519191Z digest=sha256:48f4cb35aba9a89c2495fd201bd8d80242fe88e4618b3bab3f941c618c35f590

Observation d9665b85-672a-47fd-8a38-3c8022831e11 · outbound

This paper cites Phyrecon: Physically plausible neural scene recon- struction.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Phyrecon: Physically plausible neural scene recon- struction

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.278029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.521872Z digest=sha256:f4e27329b408baa2ee57ca2c86c36983e89adc1fba510a977d2ea1ad21f50d53

Observation b50f9bcf-7ca8-4619-b811-15c8c8bc6254 · outbound

This paper cites Decompositional neu- ral scene reconstruction with generative diffusion prior.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Decompositional neu- ral scene reconstruction with generative diffusion prior

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.257488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.524558Z digest=sha256:a67ebfa2270901c31b4849266fed8816fd2874fba532acd8eee591152dc84ed4

Observation bd254085-f9c5-446f-908d-cdc70b2be567 · outbound

This paper cites Total3dunderstanding: Joint lay- out, object pose and mesh reconstruction for indoor scenes from a single image.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Total3dunderstanding: Joint lay- out, object pose and mesh reconstruction for indoor scenes from a single image

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.247010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.527263Z digest=sha256:27d7e256cf74ab3ad3c4963d7c066916d221f6a87a4dc7baca526063c1f469ad

Observation 02fdfef7-c6ae-4abc-bf2b-0e37a971a7bd · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes DINOv2: Learning Robust Visual Features without Supervision

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.530488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.530488Z digest=sha256:997b9119ce97c2a33964c1afb92976aa95ef9296024503869a08012492fb04c8

Observation 48184d54-c8e1-482a-b634-e000fe00e3fb · outbound

This paper cites pix2gestalt: Amodal segmentation by synthesizing wholes.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes pix2gestalt: Amodal segmentation by synthesizing wholes

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.236181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.534370Z digest=sha256:1d99c11f2b95667e13398765fe7c3ed49cd82babc6ed94fc4284c994a2eba60f

Observation e4448c60-fe82-4e09-a3e8-0fc8dad97d26 · outbound

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

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes DreamFusion: Text-to-3D using 2D Diffusion

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.537644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.537644Z digest=sha256:242ade840378dbcdf22e817b884e4590b1db26b0090e7b748749ecbc19616c8c

Observation 3368c432-0813-41e0-a9fb-635dd46383c6 · outbound

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

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.540876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.540876Z digest=sha256:78195713da50a910c0c139f0ebeb60a9436fb04fcf542a101ba427b38b13c31c

Observation ad3b527e-31d1-413b-9f14-aa3a75afb20e · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Learn- ing transferable visual models from natural language super- vision

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.226775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.544636Z digest=sha256:8dd5175b229974bbfefcac5732e95df766af0046a1a619c2db4dcce8d60611d5

Observation 7ca5c1cf-145d-4a37-81d1-9ddeb4181ecc · outbound

This paper cites Language embedded radiance fields for zero-shot task- oriented grasping.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Language embedded radiance fields for zero-shot task- oriented grasping

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.216984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.547846Z digest=sha256:c8e189c0996c8b9271d1fca166b53d7ded1c938faf2de12016315de420f48508

Observation 4d42f4b3-170c-4d70-acba-37801d0f3133 · outbound

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

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes High-resolution image syn- thesis with latent diffusion models

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.207844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.551090Z digest=sha256:061e4a208efafaf88eb2c7eaa1c29f6879e740775166ab2423ae40f343ad5fb8

Observation 295bea2a-8d77-4762-bb1a-d7cebdcf0492 · outbound

This paper cites Zeronvs: Zero-shot 360- degree view synthesis from a single image.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Zeronvs: Zero-shot 360- degree view synthesis from a single image

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.198123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.554302Z digest=sha256:21a1c98aa7c220f61ba50b59478c66e6fa140404bab54a0d4ee4e18b944dab7c

Observation 7b6ea471-9e84-4e20-ab68-ab782135a2e5 · outbound

This paper cites Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.557616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.557616Z digest=sha256:4bdb943047d077b89f0d873bb17c7757a63f61bd83762dfff8b4b697b2bea981

Observation 748f95ab-cd5d-41e0-bfbd-d39d316c40d3 · outbound

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

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes MVDream: Multi-view Diffusion for 3D Generation

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.561316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.561316Z digest=sha256:54ce58f2f0dbcdbb1e60a3adde1d244dfc6a59616cadcf45f89bfbaf31502d14

Observation 574bb7aa-5438-4fc0-bbb9-0dcde12f5c09 · outbound

This paper cites Denois- ing diffusion implicit models.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Denois- ing diffusion implicit models

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.188527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.565002Z digest=sha256:067219fd14e0299566667599682034816cbd57ec9b2fa928c3ba440d25c4ecd0

Observation 1793577b-26c8-4e74-9375-296d17c526bf · outbound

This paper cites Sun rgb-d: A rgb-d scene understanding benchmark suite.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Sun rgb-d: A rgb-d scene understanding benchmark suite

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.178133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.568189Z digest=sha256:bf462b1594956c3f15500d3e0031acdd584db739fe9c1a830ac460d67d8e68d1

Observation 418a93e9-3ddb-4c46-8154-49584fe6cc4c · outbound

This paper cites DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.571738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.571738Z digest=sha256:58702ef6b90ac90975c0bb45568a88d9a4ee6de91f49f50fdce3f825aeb9fc5c

Observation e4cba9ce-f1ce-45ad-a2f1-7fbfd8a9f1a6 · outbound

This paper cites Make-it-3d: High-fidelity 3d 11 creation from a single image with diffusion prior.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Make-it-3d: High-fidelity 3d 11 creation from a single image with diffusion prior

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.168149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.575426Z digest=sha256:879b37a3edfe0f4f7eee7d1f5e732c063ee56fdb039326bfd657b91948c14cc3

Observation f10dfbe5-3576-479d-b608-7b5e3c19f7e5 · outbound

This paper cites Lgm: Large multi-view gaussian model for high-resolution 3d content creation.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Lgm: Large multi-view gaussian model for high-resolution 3d content creation

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.158294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.578569Z digest=sha256:e22246f2a4e411afa943cbdc44480a28482684e033b54a68fadf35e2f4c01f92

Observation 1eb99b16-c34b-4b90-ac3b-1bb3494b5c33 · outbound

This paper cites InTeX: Interactive Text-to-texture Synthesis via Unified Depth-aware Inpainting.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes InTeX: Interactive Text-to-texture Synthesis via Unified Depth-aware Inpainting

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.581729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.581729Z digest=sha256:86b9eadae1c50d06de7e67d79ad2802561ce6fbccf85055d819ab68bab1910e4

Observation 6554471f-8a6c-48e4-be37-b04ee0a0ff91 · outbound

This paper cites Megascenes: Scene-level view synthesis at scale.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Megascenes: Scene-level view synthesis at scale

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.148520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.585629Z digest=sha256:6b6d7fc179daff831167298c63847faf20cdd562d577c5e985f9027abb9bcbe5

Observation 31dc5386-0707-42a5-a91d-9c47ba3c988c · outbound

This paper cites Tracking through containers and occlud- ers in the wild.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Tracking through containers and occlud- ers in the wild

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.138622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.588952Z digest=sha256:c0c068bdc3817d403cdbee604490382e2cb16c874d287a922361d9dd0785a547

Observation cd9fbace-c39d-46b4-9996-984d99c609b1 · outbound

This paper cites Generative camera dolly: Ex- treme monocular dynamic novel view synthesis.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Generative camera dolly: Ex- treme monocular dynamic novel view synthesis

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.128510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.592356Z digest=sha256:da4ca95e1cd583e92226d62fdb5bef2e6341396cef8e2329a4e33387a7d1427c

Observation 93732e78-57c9-40aa-82c0-7e6fa12dd893 · outbound

This paper cites ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.595830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.595830Z digest=sha256:331a9b701bd92cbeeb5de5e74ee5716ead820ea07b4ab4b82fbc2a957588960c

Observation 1ee6d54c-9c73-40e7-a8b3-08a34412bfb9 · outbound

This paper cites Barron, Ricardo Martin- Brualla, Noah Snavely, and Thomas Funkhouser.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Barron, Ricardo Martin- Brualla, Noah Snavely, and Thomas Funkhouser

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.117975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.599922Z digest=sha256:83be0cb568d1a07b6c7eebebf697dcd7d095e9d232065762190c67a17c3e6135

Observation ade5204e-fd4a-40e8-8310-68c75590b803 · outbound

This paper cites Roomtex: Textur- ing compositional indoor scenes via iterative inpainting.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Roomtex: Textur- ing compositional indoor scenes via iterative inpainting

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.108215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.603509Z digest=sha256:86dac77c8ea23a388d259f6c973c6dee5c458f56d924a4b5c7a2db08e9db09b4

Observation 32bf660f-43d3-48b0-80a5-8f7967963a71 · outbound

This paper cites Dust3r: Geometric 3d vi- sion made easy.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Dust3r: Geometric 3d vi- sion made easy

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.099439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.606679Z digest=sha256:32965bf7c2b6a28261a08d476c057b736b4defcfd04b5f3bb4cf60db9c14ff83

Observation 5ff3d477-a737-4177-9bfe-ac2a9fa99a59 · outbound

This paper cites Novel View Synthesis with Diffusion Models.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Novel View Synthesis with Diffusion Models

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.609903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.609903Z digest=sha256:9b577e12ffa08dd738f4db147e53bd9e30db9c2679e10358e9a827a330de8762

Observation 979043d8-df58-4cec-ac59-7d22f8f52298 · outbound

This paper cites Consistent123: Improve Consistency for One Image to 3D Object Synthesis.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Consistent123: Improve Consistency for One Image to 3D Object Synthesis

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.613293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.613293Z digest=sha256:4503f8a5932bd0da84e136a75f6f1484c31826b78ff72c2d84eddfdebe10e9d7

Observation e5a304b2-d1c1-4372-a9c7-598f543c5805 · outbound

This paper cites Con- vnext v2: Co-designing and scaling convnets with masked autoencoders.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Con- vnext v2: Co-designing and scaling convnets with masked autoencoders

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.090898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.616683Z digest=sha256:241291bf36e91d5f3c40410dabe03a57b0c68e7b287ddbea10a011528bddb00d

Observation 30533397-6522-47a7-b7e8-12cb87a62c2d · outbound

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

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Unique3d: High-quality and efficient 3d mesh generation from a single image

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.082145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.619689Z digest=sha256:f9cb08e5ceea1f132f830e71c1f241dc87619293950e966755ab40d710123fba

Observation cb95fd6c-f9f5-4d10-9f51-3e37d6f4b862 · outbound

This paper cites Structured 3D Latents for Scalable and Versatile 3D Generation.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Structured 3D Latents for Scalable and Versatile 3D Generation

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.622808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.622808Z digest=sha256:c94e8a7de5e2c6d676ead82fb8df3a5f08b68958fb8a161ad393ecc8c56e768d

Observation 9339b4ab-8dee-4140-94fc-78dfdbf4e0de · outbound

This paper cites Neurallift-360: Lifting an in-the-wild 2d photo to a 3d object with 360deg views.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Neurallift-360: Lifting an in-the-wild 2d photo to a 3d object with 360deg views

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.072569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.626866Z digest=sha256:bcbd04741c24c44c541429d4c756171a2ffbaf609649f7fe005ba2516f911e4b

Observation b31d01f0-f17d-4f9a-9db6-6f29126009a3 · outbound

This paper cites Amodal com- pletion via progressive mixed context diffusion.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Amodal com- pletion via progressive mixed context diffusion

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.063096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.630365Z digest=sha256:0638f00db8ce231dcb45d498ecbc810ae034885d2cd0d90bb7a35548d891e2ac

Observation 77426d66-82eb-4f1d-9d0e-f48054b28651 · outbound

This paper cites Consistnet: Enforcing 3d consistency for multi- view images diffusion.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Consistnet: Enforcing 3d consistency for multi- view images diffusion

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.053306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.634026Z digest=sha256:21772f62c4de1ad5f62adc09f5fee75e70bfbd7bf2c858ec1b95293b950799b7

Observation 7407d7a4-ea6d-41cc-9075-c38e6892875b · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Depth anything: Unleashing the power of large-scale unlabeled data

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.043299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.637476Z digest=sha256:ec0100390912154655ef5d765de4cb4096404df028254edd68ea4ce73f04ffef

Observation e9632b82-250d-4b8e-b99a-64eda2a6d401 · outbound

This paper cites Physcene: Physically interactable 3d scene synthe- sis for embodied ai.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Physcene: Physically interactable 3d scene synthe- sis for embodied ai

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.033516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.641195Z digest=sha256:8457829f67ea589c202dfb9bd3c4c69682e7084a7332323fdecc54f44b1763d8

Observation f1518f66-0c17-4a08-bfb0-8aad199bffb0 · outbound

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

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Scannet++: A high-fidelity dataset of 3d indoor scenes

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.023150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.644665Z digest=sha256:fefb513ba0c277c20d88b966ba4fabdd02812074a2923977978e6a1341388ab3

Observation a42f2a69-7ce5-4e76-9bbe-8f2f8f7d5c44 · outbound

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

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes pixelnerf: Neural radiance fields from one or few images

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.012955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.648128Z digest=sha256:691ac8bd1d337d0d844e39fcedc671f5170cc2f39acdb878b27180761ce1e44b

Observation 188be821-c2a2-43d6-9d64-6411a7a30c08 · outbound

This paper cites Amodal ground truth and completion in the wild.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Amodal ground truth and completion in the wild

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.002748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.651357Z digest=sha256:e9ca0b1c71954d697aeae3e93cd65e0ca6dad4578752a5d82d62482ff512b519

Observation cc2493df-8b02-4fd0-ae64-d00fd3d9613c · outbound

This paper cites Self-supervised scene de- occlusion.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Self-supervised scene de- occlusion

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:48.991592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.655218Z digest=sha256:000b00e3d45a79c8ba778d8148c36ca2d7095174f950def546e6efa30cee52f9

Observation 776ce211-69ab-4880-aff9-bee3decc3deb · outbound

This paper cites Free3d: Consistent novel view synthesis without 3d representation.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Free3d: Consistent novel view synthesis without 3d representation

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:48.980739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.658439Z digest=sha256:12421d597b6e012f5dc71fe4a9e0ae41b0e0db7017e21a26ed7d8018a9f0350b

Observation 35406f09-c3e8-47cc-a8e5-09683bf59bf1 · outbound

This paper cites Stereo magnification: Learning view syn- thesis using multiplane images.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Stereo magnification: Learning view syn- thesis using multiplane images

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:48.970571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.661667Z digest=sha256:721363c22ed2a5b8301d3d7b6303e3aab4174f25cdab499964c153d4fa33ba77

Observation 78360498-42cb-4dca-99d4-b8d3f040e20e · outbound

This paper cites norm patchtokens.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes norm patchtokens

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:48.960185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.665187Z digest=sha256:b27c9b023515c483bb0b8d7133b4970c0a1c107ee8a4bb906719838df59d08e7

Observation a4f13b81-4ad0-421e-99bd-8ec2b0f5f62c · outbound

This paper cites FXRvdpBKje59HAj3tIVdwRQpPk0=.

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes FXRvdpBKje59HAj3tIVdwRQpPk0=

Reference 100

Resolution
malformed identifier
raw_fallback, observed 2026-08-11T14:58:48.950713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T14:58:48.669334Z digest=sha256:3df3378b51f9a05f5f0e7cb3f627083bded941d298967045e66071b0000b99d9

Pith citing papers

No inbound Pith citation observations are available.