SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations | Paper Citation Record

Observation 0ec77e5f-09c0-4886-95d7-974db53ff302 · outbound

This paper cites AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers

Reference 1

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Observation 5865498e-c736-4b76-8ef1-1542fb458083 · outbound

This paper cites Zip-nerf: Anti-aliased grid-based neural radiance fields.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Zip-nerf: Anti-aliased grid-based neural radiance fields

Reference 2

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Observation 6c3ec5a1-2694-41dd-abde-6c8e8e573d1b · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:20.978614Z

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Observation 5dda08f2-ef77-41ce-9c58-13b53f9a5c83 · outbound

This paper cites MVGenMaster: Scaling Multi-View Generation from Any Image via 3D Priors Enhanced Diffusion Model.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations MVGenMaster: Scaling Multi-View Generation from Any Image via 3D Priors Enhanced Diffusion Model

Reference 5

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Observation ccafa495-1201-49fb-81d5-d6ed3a6dcddd · outbound

This paper cites Generative novel view synthesis with 3d-aware diffusion models.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Generative novel view synthesis with 3d-aware diffusion models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:20.987927Z

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Observation 682e1ff3-f4e5-4727-992d-289d3e05b7fe · outbound

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

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:20.994062Z

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Observation 051a2ab3-2932-456e-b676-34b333e8aca6 · outbound

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

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:20.998730Z

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Observation da9812c3-d825-421d-af82-0574a822b080 · outbound

This paper cites LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.003748Z

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Observation 132395b1-fc67-49d3-b927-7fe122cefaca · outbound

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

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Objaverse: A universe of annotated 3d objects

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.007880Z

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Observation 30b4e360-aa82-487f-ad0f-6eb1a1e2d8ac · outbound

This paper cites Learning to render novel views from wide-baseline stereo pairs.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Learning to render novel views from wide-baseline stereo pairs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.011783Z

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Observation 40ccb58f-8c90-4935-b204-02e64a317130 · outbound

This paper cites Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.015907Z

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Observation 4f2819d7-22e1-422a-9efa-da7a94cbc510 · outbound

This paper cites InstantSplat: Sparse-view Gaussian Splatting in Seconds.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations InstantSplat: Sparse-view Gaussian Splatting in Seconds

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.019969Z

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Observation 32c6ce0c-172c-4e10-9b71-0af6d3d45df2 · outbound

This paper cites Scenescape: Text-driven consistent scene generation.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Scenescape: Text-driven consistent scene generation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.024722Z

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Observation 6fde9675-f586-4614-b3ef-a5f3bf648fd3 · outbound

This paper cites CAT3D: Create Anything in 3D with Multi-View Diffusion Models.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations CAT3D: Create Anything in 3D with Multi-View Diffusion Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.028645Z

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Observation 4536a617-e154-4913-9600-e91721a5582d · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.032414Z

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Observation 9b9638b6-2e85-486b-a3fa-62e5c544eb44 · outbound

This paper cites Sparsenerf: Distilling depth ranking for few-shot novel view synthesis.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Sparsenerf: Distilling depth ranking for few-shot novel view synthesis

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.555590Z

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Observation 59c6da2f-ba18-4c9f-9817-b8ce1759af0d · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.040342Z

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Observation 64d5524c-47f7-4324-b269-cef7f50eb454 · outbound

This paper cites CameraCtrl: Enabling Camera Control for Text-to-Video Generation.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations CameraCtrl: Enabling Camera Control for Text-to-Video Generation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.044160Z

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Observation 100cb899-62b0-4d3b-a089-7a2fe9c42f7d · outbound

This paper cites CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.048047Z

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Observation 086fe81e-ae64-4e99-8035-7da44f11f660 · outbound

This paper cites Classifier-Free Diffusion Guidance.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Classifier-Free Diffusion Guidance

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.052589Z

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Observation a116a443-76f5-4e92-814f-4c4f1bc92e1f · outbound

This paper cites Unifying cor- respondence pose and nerf for generalized pose-free novel view synthesis.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Unifying cor- respondence pose and nerf for generalized pose-free novel view synthesis

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.540639Z

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Observation 6bea326a-6fd4-4e97-8e58-389fbe441cf7 · outbound

This paper cites Lrm: Large reconstruction model for single image to 3d.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Lrm: Large reconstruction model for single image to 3d

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.061356Z

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Observation 9d418a5c-54b2-422c-b9f4-bcd9ef2539a0 · outbound

This paper cites Animate anyone: Consistent and controllable image- to-video synthesis for character animation.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Animate anyone: Consistent and controllable image- to-video synthesis for character animation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.065454Z

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Observation bb58441f-9692-407e-a442-86de8c85ea9d · outbound

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

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations 3d gaussian splatting for real-time radiance field rendering

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.503614Z

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Observation eed85892-1667-490a-8f84-308102f2191d · outbound

This paper cites Infonerf: Ray entropy minimization for few-shot neural volume ren- dering.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Infonerf: Ray entropy minimization for few-shot neural volume ren- dering

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.488857Z

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Observation 3c4d38b9-a998-4407-a013-36bef7990dcc · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Tanks and temples: Benchmarking large-scale scene reconstruction

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.472724Z

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Observation 63043693-8fcc-4d79-8015-16ca381ce117 · outbound

This paper cites Grounding Image Matching in 3D with MASt3R.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Grounding Image Matching in 3D with MASt3R

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.081977Z

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Observation d0c7f138-717f-471e-926b-daf260278dad · outbound

This paper cites Dngaussian: Optimizing sparse-view 3d gaussian radiance fields with global-local depth normaliza- tion.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Dngaussian: Optimizing sparse-view 3d gaussian radiance fields with global-local depth normaliza- tion

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.456757Z

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Observation 92bc4fc6-1b80-43fc-8354-3c493426d336 · outbound

This paper cites Nvcomposer: Boosting generative novel view synthesis with multiple sparse and unposed images.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Nvcomposer: Boosting generative novel view synthesis with multiple sparse and unposed images

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.442255Z

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Observation f0910ceb-cef3-496e-bbce-636bf64a82b8 · outbound

This paper cites Wonderland: Navi- gating 3d scenes from a single image.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Wonderland: Navi- gating 3d scenes from a single image

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.419331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 74c94bc8-635b-452c-8a33-f54092d2afb1 · outbound

This paper cites Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.402357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 09ba1e8e-936d-4eb7-a5b2-16dfa3ece31e · outbound

This paper cites Infinite na- ture: Perpetual view generation of natural scenes from a sin- gle image.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Infinite na- ture: Perpetual view generation of natural scenes from a sin- gle image

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.389064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1a44d919-a3dc-4b08-ba0d-41be7d1c00bd · outbound

This paper cites ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.105984Z

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Observation 486bf6c6-fc87-4a6a-8314-acbd35db35b0 · outbound

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

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Zero-1-to- 3: Zero-shot one image to 3d object

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.110437Z

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Observation 5a8fe305-e9c4-4cba-9562-3626c1e43e8b · outbound

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

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.114984Z

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Observation c0040c8c-866e-4e73-9930-cadc7901d6da · outbound

This paper cites You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.119359Z

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Observation 8f0116f8-9ae4-4dcc-ae97-c86e04043fcf · outbound

This paper cites Multidiff: Consistent novel view synthesis from a single image.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Multidiff: Consistent novel view synthesis from a single image

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.362052Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7af6dc2e-2708-404f-b4f9-ee626f9f42ee · outbound

This paper cites Instant neural graphics primitives with a mul- tiresolution hash encoding.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Instant neural graphics primitives with a mul- tiresolution hash encoding

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.127216Z

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Observation a96082c0-3080-4ff7-a2f0-e95eaf5126b7 · outbound

This paper cites Reg- nerf: Regularizing neural radiance fields for view synthesis from sparse inputs.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Reg- nerf: Regularizing neural radiance fields for view synthesis from sparse inputs

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.130993Z

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Observation 8cf1656a-fd5e-4ebe-8ff6-9acfc219c3d0 · outbound

This paper cites Dreamfusion: Text-to-3d using 2d diffusion.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Dreamfusion: Text-to-3d using 2d diffusion

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.134609Z

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Observation a1b96441-5bc8-4ff1-b172-aa4bfbb7129b · outbound

This paper cites Kilonerf: Speeding up neural radiance fields with thousands of tiny mlps.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Kilonerf: Speeding up neural radiance fields with thousands of tiny mlps

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.138613Z

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Observation 018af5a7-1c83-41fb-b4a2-c7b29e001a09 · outbound

This paper cites Gen3c: 3d-informed world-consistent video generation with precise camera con- trol.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Gen3c: 3d-informed world-consistent video generation with precise camera con- trol

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.307097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f81b57ca-628a-4c0f-8888-c87943304c35 · outbound

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

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations High-resolution image syn- thesis with latent diffusion models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.145927Z

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Unavailable: canonical work link unavailable.

Observation 2f501bc1-1735-48ba-b34a-aadca0c04fc2 · outbound

This paper cites ZeroNVS: Zero-shot 360-degree view synthesis from a single real im- age.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations ZeroNVS: Zero-shot 360-degree view synthesis from a single real im- age

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.281189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 023b80fc-f1c2-49e4-94fa-f558d71ab172 · outbound

This paper cites GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.153177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0aed3c42-10ef-4723-9ef1-26151acd15a1 · outbound

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

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations MVDream: Multi-view Diffusion for 3D Generation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.157006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f16c7387-2ece-41f2-a0bb-ab2bc7f3a681 · outbound

This paper cites RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.160919Z

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Observation 61046356-a530-4843-81c8-23334a8de7da · outbound

This paper cites Light field networks: Neu- ral scene representations with single-evaluation rendering.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Light field networks: Neu- ral scene representations with single-evaluation rendering

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.259390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3e9bea48-1c4f-4552-936e-1955a177f675 · outbound

This paper cites Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.168572Z

Source-reported events for the cited work

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Observation ed022a60-77cd-429c-9afe-0965a564b7b0 · outbound

This paper cites Denois- ing diffusion implicit models.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Denois- ing diffusion implicit models

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.240090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 02a46875-3cb0-4ff5-a5c2-f7fd8bc19dc3 · outbound

This paper cites Generalizable patch-based neural render- ing.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Generalizable patch-based neural render- ing

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.220434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7d4260a0-4068-4be0-8333-9923f955c174 · outbound

This paper cites DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.180298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae4ca079-ba82-4e38-84be-d0e843fa7733 · outbound

This paper cites Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Image.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Image

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.184501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcc755e1-5dda-4a6d-97e3-c8212ef01d35 · outbound

This paper cites Splatter image: Ultra-fast single-view 3d recon- struction.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Splatter image: Ultra-fast single-view 3d recon- struction

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.200033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 73d48a95-9f2f-4394-a4b1-85774dfeb02f · outbound

This paper cites MegaScenes: Scene-Level View Synthesis at Scale.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations MegaScenes: Scene-Level View Synthesis at Scale

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.192954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c133375-fbf5-4b08-8f85-ea1e0f2c2703 · outbound

This paper cites Videoscene: Distilling video diffusion model to generate 3d scenes in one step.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Videoscene: Distilling video diffusion model to generate 3d scenes in one step

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.183778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b64789d4-049d-49d6-ae58-32574072450c · outbound

This paper cites Vggt: Vi- sual geometry grounded transformer.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Vggt: Vi- sual geometry grounded transformer

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.166992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0aaf4400-e936-45fd-a070-2b086a13abfc · outbound

This paper cites Moge: Unlocking accurate monocular geometry estimation for open-domain images with optimal training supervision, 2024.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Moge: Unlocking accurate monocular geometry estimation for open-domain images with optimal training supervision, 2024

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.149734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 02c83b27-3677-4e9f-9f39-58c4b1ef2d57 · outbound

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

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Dust3r: Geometric 3d vi- sion made easy

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.131962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b8cdaea0-0e50-42f1-a4c0-5969ed519347 · outbound

This paper cites Videocomposer: Compositional video synthesis with motion controllability.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Videocomposer: Compositional video synthesis with motion controllability

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.217962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8a4ee99-90b5-4eab-b9b5-4e3f97a27fbb · outbound

This paper cites NeRF--: Neural Radiance Fields Without Known Camera Parameters.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations NeRF--: Neural Radiance Fields Without Known Camera Parameters

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.222929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3154c602-a8cd-48ab-a888-f979b253f2e7 · outbound

This paper cites Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.227439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fb6b472-d677-4e8a-9270-a020f3d0f271 · outbound

This paper cites Motionctrl: A uni- fied and flexible motion controller for video generation.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Motionctrl: A uni- fied and flexible motion controller for video generation

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.090520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ebffdbbf-fa03-4d38-88cb-c906a5476dbf · outbound

This paper cites Reconfusion: 3d reconstruction with diffusion priors.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Reconfusion: 3d reconstruction with diffusion priors

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.071186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b8006282-b822-4cbe-8b1c-9c07f14ff438 · outbound

This paper cites Bungeenerf: Progressive neural radiance field for extreme multi-scale scene rendering.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Bungeenerf: Progressive neural radiance field for extreme multi-scale scene rendering

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:22.054097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c2c82c23-665b-462b-b13c-419040c44586 · outbound

This paper cites CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.245053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea357cba-b0aa-4d07-9d1d-2cc2e2a51567 · outbound

This paper cites Murf: Multi-baseline radiance fields.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Murf: Multi-baseline radiance fields

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.249462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 840df5c0-4f03-46cd-9a3c-f4514c21a42b · outbound

This paper cites DepthSplat: Connecting Gaussian Splatting and Depth.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations DepthSplat: Connecting Gaussian Splatting and Depth

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.253792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0b8c0ff-e795-4f49-ae35-542d73c7669f · outbound

This paper cites Magicanimate: Temporally consistent human im- age animation using diffusion model.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Magicanimate: Temporally consistent human im- age animation using diffusion model

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.258476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98698a0a-8935-494f-b094-75e464c11cb8 · outbound

This paper cites Freenerf: Im- proving few-shot neural rendering with free frequency reg- ularization.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Freenerf: Im- proving few-shot neural rendering with free frequency reg- ularization

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.262243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 571d641d-f82d-42c7-9769-b9435fd02ec4 · outbound

This paper cites No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.266163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e08b2c56-8e26-4713-9c48-eaf8ce0eafc8 · outbound

This paper cites Metric3d: Towards zero-shot metric 3d prediction from a single image.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Metric3d: Towards zero-shot metric 3d prediction from a single image

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:21.984283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 11bf148a-45c8-41ed-b9fc-a7ab9bf8b0ff · outbound

This paper cites NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.274880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a12826e6-2f4f-4308-a06c-df20311bac3b · outbound

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

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations pixelnerf: Neural radiance fields from one or few images

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:21.967857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bf7e9b2a-563f-467e-9ab8-b0ffa094c361 · outbound

This paper cites Wonderjourney: Going from anywhere to everywhere.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Wonderjourney: Going from anywhere to everywhere

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.283002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7a96b8b-e22a-4482-91aa-c0aa50db9127 · outbound

This paper cites ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.286706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cb1c942-a417-4999-a6ba-78f2c6c046a7 · outbound

This paper cites Cameras as rays: Pose estimation via ray diffusion.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Cameras as rays: Pose estimation via ray diffusion

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:21.937303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8d2711b5-de63-4ad8-a794-09af08c48fb7 · outbound

This paper cites Gs-lrm: Large recon- struction model for 3d gaussian splatting.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Gs-lrm: Large recon- struction model for 3d gaussian splatting

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:21.912202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4bfc72b9-5505-47dc-97dd-be1f48c5e12b · outbound

This paper cites Gs-lrm: Large recon- struction model for 3d gaussian splatting.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Gs-lrm: Large recon- struction model for 3d gaussian splatting

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.298385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 464ec37d-e886-40a6-b26d-76cf7b56b204 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations The unreasonable effectiveness of deep features as a perceptual metric

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.302087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c567c2d6-fbf7-48fb-96f4-204caa3b4c5a · outbound

This paper cites 3d- scenedreamer: Text-driven 3d-consistent scene generation.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations 3d- scenedreamer: Text-driven 3d-consistent scene generation

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:21.866891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2acb174f-f8e5-42e6-85f8-c5ac0a9842ba · outbound

This paper cites Flare: Feed-forward geometry, appearance and camera estimation from uncalibrated sparse views.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Flare: Feed-forward geometry, appearance and camera estimation from uncalibrated sparse views

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.315123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e02861d7-cb59-4ddc-9448-6c54ba49dd3a · outbound

This paper cites Nerfusion: Fusing radiance fields for large- scale scene reconstruction.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Nerfusion: Fusing radiance fields for large- scale scene reconstruction

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:21.839583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 146667ce-48f1-4b48-a676-c388f1a7640a · outbound

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

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Free3d: Consistent novel view synthesis without 3d representation

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:21.819884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f63fc8ab-4546-4c5e-a075-e2556ebf2866 · outbound

This paper cites Stereo magnification: Learning view synthesis using multiplane images.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Stereo magnification: Learning view synthesis using multiplane images

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:21.326752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2bafccc-eefe-4a08-9137-688cf7b134ba · outbound

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

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Stereo magnification: Learning view syn- thesis using multiplane images

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:21.792982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e7b3aa4d-44f9-44a3-b03f-869fc7fbc97c · outbound

This paper cites Fsgs: Real-time few-shot view synthesis using gaussian splatting.

SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited Observations Fsgs: Real-time few-shot view synthesis using gaussian splatting

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:21.776909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers