Pith. sign in

Paper Citation Record · LEDGER

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

As of 12 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 2026-08-12T06:34:41.77262+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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.330010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.330010Z digest=sha256:083db5f054eecb5425d81af5ece045d01fb3dabd122e9a11ad20121b7a338780

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.334088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.334088Z digest=sha256:ddd289be159f226abd74947d11ac47c13370076c5837435c53a21456c928bc7b

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.337797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.337797Z digest=sha256:dd3e7d58a3706a775753d4c0061e21a46e034bee52700410e5de84af87cd833c

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.341462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.341462Z digest=sha256:b9f1157e4d160e511052706b686010b7137464ae5cb2e09656d9b15995cf03e8

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.346354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.346354Z digest=sha256:eda1a35421e1f94c1743bbaa607fbed58ad0c3f65a31daad14fd02c23fa932c5

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.350012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.350012Z digest=sha256:bef0622cbd45acf542c329f43a672c6c169d61ad1cfa479bba5a6b75ead66c1d

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.353805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.353805Z digest=sha256:3d7403672f7739e765ea45912804baf6f325098226988dc3d2877397531efcbf

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.357673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.357673Z digest=sha256:514e2db7e18e5ed138a6af40c7617512d8a569935770f37934c8edd8fd838556

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.361517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.361517Z digest=sha256:0592f6a1392a56786f932feb235b7fd9ecd00f6f1851f24385a74cb2843a94dc

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.365164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.365164Z digest=sha256:a66b8df34cc1cd78c46b79d215c7930007da4d6b643a517943ae535958e41a63

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.368889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.368889Z digest=sha256:b3271792beea20cd422806aa07325f9c59e3428688701cfdb82a82caa1798f28

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.372311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.372311Z digest=sha256:93a3d763c1f68d9fd3bbf06c42c8b59fbfaa466b5f6ec9cb2d4ac1aa0f0b3543

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.375588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.375588Z digest=sha256:625abada4c6d5428cf7fa2fb8fba605739e66a962fb89d12a2562abf755a8778

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.379565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.379565Z digest=sha256:a67bd472423c8a87d6d296b934b6fb3aff7e95ddb52613961eb0e99ad6c9bc83

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.383250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.383250Z digest=sha256:fc3b4fd71639da87501006e102dff890ea209f99f6b1effbda3fc2b635ac48c7

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.386784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.386784Z digest=sha256:7b8b63c53610406abe8e5335975a18e5c930207c0603bbfda6091c712a5e76c7

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.390173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.390173Z digest=sha256:295757eed2d5fe7e4ac6cec44efb9509ffa6fc4c977a85182765497cff0faacb

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.393874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.393874Z digest=sha256:22390a598b84c4d1f7c012fb869020dbacdf005a2dac14fde7889e8ec34e40d5

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.397520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.397520Z digest=sha256:5536ee0726908651a3c4c0a5e7d0bb221bc9794f55205320b5a4fa990a4616b6

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.400996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.400996Z digest=sha256:5370f47ffe9c6a9fffe6dfaf9d9d9a3cabe40bef1c741af60aea83bbd54f5746

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.404267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.404267Z digest=sha256:bcc50deb3326340d396b0abbddad1abc4b178bc68d4ce15a4d4853dd61fedbdd

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.407228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.407228Z digest=sha256:acbc82fa03d0a4f58d51ee15a096288d14a45004fb4b185698f009bf3f729880

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.410450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.410450Z digest=sha256:9d5f56b6ea4c62e2fa33be6964488968c33bff384ec33bd3f466dbabe4cf26f7

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.413761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.413761Z digest=sha256:f8e68775c96eb44165f0eb84d97dbea579d152f43782a0c1bce336a155d63e97

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.417268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.417268Z digest=sha256:2adb5f15207d7dfbff1e8d5a0680365dd3979f4f165e1b38acc4b26b910614fd

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.420261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.420261Z digest=sha256:e3ac3f4e5a2655dac77ca6001409c26601ad4a788fce73d275d13a1df1016b6b

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.423617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.423617Z digest=sha256:3f7b2a5ae57315bea09b8b93823b6c01c258d484dd2616dd2cb5e00dd4af1b26

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.427111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.427111Z digest=sha256:5a4af4a40316049a8c0a7a1d9a020a4d24d34f7fdc96ca6a4e4c521300361426

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.495024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.430444Z digest=sha256:f139d96a0a84b1a293af5f92d18d26d1f2852ce41b76662e348736a35056514d

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

Resolution
unresolved
no resolver link, observed 2026-08-11T14:58:48.433548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:58:48.433548Z digest=sha256:152f7e1aba2e69f356f0633f3cfb49684e9305acdd9fc479743c9889a1597458

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.485869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.437488Z digest=sha256:8f3a83c55cc56da1fd2f0e41d95cf1c64c610fc275ecb95851f12dcc43774077

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.475969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.440936Z digest=sha256:0b2771b7eea84c590f411044bf604fa12ff4c4e56ad27f3fc90b36c8e279910b

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.465995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.444622Z digest=sha256:0a1a685c1d2d3ea9bedb7f4d04b3777850e218d6e433b22a59bce69f7fea8ae1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.456336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.447978Z digest=sha256:a8d700f07a7691ba60a4b79a6c818829d7364794928deda6affded4c27dff081

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.446586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.451211Z digest=sha256:d6c27e1d1a1ef5139e4f72325da483982897e3fb65103990295910e615474511

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:58:49.436690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.454551Z digest=sha256:74a910341b6e4d41af688815cffce69c9df30f8a2bb77205aa718fa6077318c2

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.457978Z digest=sha256:287ba62789ebb1af427ed53bb66a2bc2fb8e3ca92eb63417846261b6a50ebecc

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.461251Z digest=sha256:f0501c90af2bd4870f73d2b73bce76b1f68f74803eb46a2ea2138e1d30aaba28

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=sha256:817073b012ac389d86847102327b9f04e280f7bce6bdaa66f0c733f81cf815e8

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.468335Z digest=sha256:7135950968575a93068ed1a358ba0cb397ee0d38fc4b90bc28293914d56b3b69

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.471427Z digest=sha256:c3a39d57837e9d222440149ee39cbcf071ad5c7e7909fc50d29e27718e37bcea

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.474635Z digest=sha256:4bd7cb71dee0f67f9d406d2bb960bcfa58e72c49f8ec15ad9003c84e77595222

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.477902Z digest=sha256:e847ad67f395c6b332382513677d4e5bc3c96fe9de6205a12b3c7806a660d13b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.480982Z digest=sha256:572c5c8713dd691e9af2136a2b9343affa35ebf3eeac6e0c8cbd8328127012a2

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.484247Z digest=sha256:9b1cf309fb834425ff6c92801fffd4a6c86b4e0753b9bf89a47b866a0c6ee919

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.487419Z digest=sha256:3ec2c130d534e53c0647c293e28a4bb7507fbeea302db36b05bf13d141905478

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=sha256:8414cb5ce81121ac9b588fb6b87a527e8ecb5baa6ed94db850db5efdc105b681

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.494617Z digest=sha256:f88116f4a68972bd9b94ba48517b8e670da71ff57bdd570aeae45d5fd836482f

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=sha256:54b3d0191922d1edd02bb49b9fdbebe61fa17f79ab03b64cb7764be7fde0d3bd

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:b2acace9d3815e10cbfe59101aea24a829f190ce811bb1da047fcbf784b3d003

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.504696Z digest=sha256:759601632381b1a04d3ffc16d6539e789fe90657ff68e4548dc3e658d216f1d1

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=sha256:3b25990fd8f862dece1a654702abc43d73c27fc078a05b1394730347ccc48408

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.510496Z digest=sha256:4eec0c01b9e7503a439947198aeec53c1b1c0ba7d0c8c0f874d7247f4dfff1e6

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=sha256:0efad2b1fc8d492ec15200860baba4c0bddb62a1fb6408236094e0a013746365

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.516282Z digest=sha256:5696b4e55a29ddad5277c52ba69b2388d9159366b46e439894694960fbfde361

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=sha256:015006ca8f90289fc64d8ae57d2345e877f5ee7e686bf14021385447dd52b79a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.521872Z digest=sha256:33401b86b1c94d9134f4cc9183d98c32d6266595f154552f4e9584ab43c43452

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.524558Z digest=sha256:b6019fb0aa7ba521d97c4a1055735dca998773fb0be9e2cb203861767da1b7a3

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.527263Z digest=sha256:e650d848c6f2d755bbe71fa736cbdcb9e38d7d1c3fe3cc54f6b1caa887a874b1

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=sha256:1733eab69e82a5af153af1bee8d8114ca75fdeb603ca3bcfaa2b5ebc77edfd36

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.534370Z digest=sha256:c0f50246b77a8c416eba0a2c8f66251679ecf0bd2eea9939142362da42a390b7

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:d6e7a4c1497e23ca777f152d7d459ed57062acda136368f82cff6b9f5e75d798

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=sha256:243b2b99a36d196b845d748558e3afd5fe84a87506d46e8722262eb313a7b525

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.544636Z digest=sha256:53bafb1cc1e18a8024497a6826c12b19cc14ad212b7cb3f1ec0fa5ffa12bba41

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.547846Z digest=sha256:c0ce25cc78d5686bd80a532de71a2908effa4ec735594cf77720157dced9aae7

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.551090Z digest=sha256:e4a35a86386480712e4143a9a37d0b4f9f3e1bfa9495dbfaa988bf278a5df846

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.554302Z digest=sha256:694ca36bbb1fd5f99b99fc675726ab78ee99c1fc77abac528bc0217d35865507

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=sha256:719bf9df10046255d2d882dec4fec84ab9c6861d5e3922fadca9634051ef413a

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=sha256:5659fb0ea1cb0e4cb8afa283424b4e47da794ac5a8330f96460ef9d8e47d2ffd

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.565002Z digest=sha256:c57fc96417089b21d8de9d692e631f8f99d6046280bda6ff3a423b5d182cf24b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.568189Z digest=sha256:fd6d7a2a63931a4eaaf8e9b3799698fad2bb6c63ca5ebc90ccfb5b63334eae35

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:deafb1c9fb1c61fecb71dd5cff51e2ea504aafb984b3680b6aa79e54a081a60b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.575426Z digest=sha256:9314855db2a28eebe0e5541ee1fbae4fd5b6da9ead382fd1da15a9f94bb2a040

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.578569Z digest=sha256:bd04129a4c92b8e9ac0393ebf0baca5a7f97271d0987bfbe2121780369cce6be

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:fe02151702754f32486de5cdeddee8ac50eee254ea5f5dfeb77882b3bf7c181c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.585629Z digest=sha256:0d35c5a985ec8d99ec67866ca495aca97089b708e773ff58921e554d9a6e2c31

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.588952Z digest=sha256:106ccfaf3ecf5f291a9ab5fc646a7935b392f1f75aed0d555b46497152ab5856

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.592356Z digest=sha256:abc644b5cf121150a5b5f7df4eb53fa646c0497ece3711430fe003bda5ac91cc

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=sha256:55be87e00b1451b7024f3b1fde35b8d2f1e2c1e106c3c78aeb39f16e46e2acf8

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.599922Z digest=sha256:6bfccdb82a43d32bcf50c34bbd34cd4e3c90a76fa56369196b24d7b1aff23c65

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.603509Z digest=sha256:ee01dc0a08da366cb10ab3a19fbc8c6cd1ecc3f16fd191466112394af527dac1

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.606679Z digest=sha256:fbea9c539d71fc729cd9d0e9b43716e69a1b4b8bcb0e4b71684b38f3b5c4f6ac

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:a701d92862430bee323888f0342d3da51b3aab95b5f754b1cd06736e5afceca5

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=sha256:2b0aee880d131e03924d62ca8e8f6a7743a430f0dd09879a80b29282293f1a20

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.616683Z digest=sha256:eeb1bd7ce61cb3065da87797e05105f03a08f8cd8f21fb30e2d0f5e338685f10

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.619689Z digest=sha256:3d709597d914d398d0784c2d81b0b73736a5084c411a2252c3b29bc5a7d9fa20

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:fdce3577f351a4fa832b1a086a31aa8d6ee32a5ab1ea2802d85db803e3147e62

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.626866Z digest=sha256:1605167cf830c177118731b270ebfcceaf2926ffbaf9d57a983fb9fb3b2d0b57

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.630365Z digest=sha256:0dfe489f57fde9682824782372ebf5fc2abc7c7ee862e15f3feb041905df4c2b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.634026Z digest=sha256:d3921325f8c589d19fb2a8dd8dd9af7ec03735a2da0e95a676bd84ea9bdae795

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.637476Z digest=sha256:c6c80de7c7e7668f46aa5773eb2ec15113152bc16463d04c323ef7ae3372a198

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.641195Z digest=sha256:6fd21c17e73a2dd023e388ee122484cefec3170bdddb26bf02f1b4a6c4b48ee3

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.644665Z digest=sha256:ab9672bf034ab117fee1f4d79c7337ba73e261c592231daa59cd9b709f1410dc

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.648128Z digest=sha256:3cad378a69793143504c17eef31800e3e88fa5f94294414378b4ed490273f882

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.651357Z digest=sha256:54e8705e75c16073d1545578c6a81fd162e1582d849df917019a800e532290db

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.655218Z digest=sha256:1d6a4deb2fa6870a4b034a7135745a29fab367ec66a925a6c37d7422edc59ace

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.658439Z digest=sha256:87153f8231750d6138e76c0cbf2a9e3a47b70b43cb9151a1fb9cf52197993c77

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.661667Z digest=sha256:25229197d6e987817ea0c7161359cee8aab28c8662c3db1e3ced36e29dae12d7

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.665187Z digest=sha256:41bc454890814fb3e21e94c1c868cb1abf4b9ae5689da566a39c7c9022363b4f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:58:48.669334Z digest=sha256:4f353ef2746266866e1272488d0bd5dab82fe6bc8403d54e324475e29ebf1fc8

Pith citing papers

No inbound Pith citation observations are available.