Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T00:19:40.353536Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 93 of 93 outbound references and 3 inbound Pith citation observations for arXiv:2412.19518.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T00:19:40.353536Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:14:17.945560Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T23:30:48.846362Z
93 of 93 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 698c5f28-ae36-4797-8d79-b3c3573d637f · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Gaussian shell maps for efficient 3d human generation
Reference 1
Source-reported events for the cited work
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Observation e64ecba1-882f-43a2-93fc-c4eac5db6304 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Lempitsky
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8e8d936-d664-4219-a770-4dbf238ca68f · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af14338b-606e-4cba-a1aa-4d1f1d5893cd · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Barron, Ben Mildenhall, Dor Verbin, Pratul P
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6123c7ce-b131-4dcd-83b5-2d3dd2b88712 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Barron, Ben Mildenhall, Dor Verbin, Pratul P
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04002a5f-5d66-4b45-90ba-5d35e92a1191 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Barron, Ben Mildenhall, Dor Verbin, Pratul P
Reference 6
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Observation 617737e0-b8aa-4485-b494-13efa8476b0f · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Nope-nerf: Optimising neural radiance field with no pose prior
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdac059c-cbaa-41f1-a856-f384478183ee · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images PRISM: PRogressive dependency maxImization for Scale-invariant image Matching
Reference 8
Source-reported events for the cited work
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Observation 071fbad6-da0d-4438-b84a-b0adfa434477 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Unresolved cited work
Reference 9
Source-reported events for the cited work
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Observation 2d253e55-50bb-4763-8e31-09f62d8a152c · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Emerg- ing properties in self-supervised vision transformers
Reference 10
Source-reported events for the cited work
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Observation f91eb3ab-d21b-4723-ba9d-1493c573acd6 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images A Subdivision Algorithm for Computer Dis- play of Curved Surfaces
Reference 11
Source-reported events for the cited work
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Observation b5f7a187-77ae-4e5d-af45-1ec7b4e14fdd · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction
Reference 12
Source-reported events for the cited work
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Observation 6bd6ea6e-59f0-46ff-92ba-f142448b9bc8 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images View interpola- tion for image synthesis
Reference 13
Source-reported events for the cited work
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Observation 6c807033-43ed-4014-9bc3-f41f1588b478 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Gaussianeditor: Swift and controllable 3d editing with gaussian splatting
Reference 14
Source-reported events for the cited work
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Observation 96151560-8923-43e5-8345-c60b48cf6f3a · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images
Reference 15
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Observation 64660b2c-4ba3-4384-8a89-c75f017fc403 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Gaussianpro: 3d gaussian splatting with progressive propagation
Reference 16
Source-reported events for the cited work
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Observation 937634be-02e2-4e6b-8d62-0e1f06556a50 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation
Reference 17
Source-reported events for the cited work
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Observation 8583ab94-fc11-4409-9152-0da0a9911f2b · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Depth-regularized optimization for 3d gaussian splatting in few-shot images
Reference 18
Source-reported events for the cited work
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Observation 3108bbbe-0646-4c0f-8a6c-e7d504beea41 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Depth-supervised nerf: Fewer views and faster train- ing for free
Reference 19
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Observation 78d43a22-903d-4a0c-9309-8afa138828b6 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images InstantSplat: Sparse-view Gaussian Splatting in Seconds
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5c55423-e11f-4633-9a90-98350ca1590a · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Plenoxels: Radiance fields without neural networks
Reference 21
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Observation 4aa74c79-0c01-44f9-a994-3a74c3a49a98 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Unresolved cited work
Reference 22
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Observation d8aef566-8457-4852-9688-dcc6c21681ed · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton, and Julien P
Reference 23
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Observation 9a304aeb-cf93-498b-9e58-9e1b935465bc · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Vmesh: Hybrid volume-mesh representation for efficient view synthesis
Reference 24
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Observation 5f600517-26fe-48e1-a180-9202d965c605 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Efros, and Martial Hebert
Reference 25
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Observation e44ce943-3008-4d54-847c-296314d020ad · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images LRM: large reconstruction model for single image to 3d
Reference 26
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Observation c03c8114-e166-459d-af1c-f2f46ab27005 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Berg, and Deepak Pathak
Reference 27
Source-reported events for the cited work
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Observation c3b1bc2b-3f98-40ac-8b1f-e2ae340f44e5 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Putting nerf on a diet: Semantically consistent few-shot view synthesis
Reference 28
Source-reported events for the cited work
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Observation acb5331d-c0fe-4027-b83b-1a2c01fa4eeb · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Real3D: Scaling Up Large Reconstruction Models with Real-World Images
Reference 29
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Observation 2d3b6a65-8d2e-4b5e-9d04-51922a2354aa · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images A construct- optimize approach to sparse view synthesis without camera pose
Reference 30
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Observation 8cccc129-6db8-41e1-b6c5-bea4a1c96c1c · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Unresolved cited work
Reference 31
Source-reported events for the cited work
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Observation ee4cf257-fe5d-4440-8988-3a5729838e6e · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Learning-based view synthesis for light field cameras
Reference 32
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Observation 15e2161b-fddd-446f-93d7-ab697bcc868f · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Splatam: Splat, track & map 3d gaus- sians for dense RGB-D SLAM
Reference 33
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Observation 64eefd2c-dedb-4678-b30f-6e5dd3f230eb · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images AutoSplat: Constrained Gaussian Splatting for Autonomous Driving Scene Reconstruction
Reference 34
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Observation b2abdf80-faeb-4d04-93ba-ecabf8cd0782 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Tanks and temples: benchmarking large-scale scene reconstruction
Reference 35
Source-reported events for the cited work
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Observation 96338cbc-c2c3-4a83-b6b5-088c6a1c197a · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Gecon- erf: Few-shot neural radiance fields via geometric consis- tency
Reference 36
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Observation 21e5b789-7dd2-4bbc-a4f0-98d22e77f685 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Dngaussian: Optimizing sparse-view 3d gaussian radiance fields with global-local depth normaliza- tion
Reference 37
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Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Multi-View Large Reconstruction Model via Geometry-Aware Positional Encoding and Attention
Reference 38
Source-reported events for the cited work
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Observation fcbde948-6725-4a8c-b79e-5ad21cdb1970 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Spacetime gaussian feature splatting for real-time dynamic view syn- thesis
Reference 39
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Observation bd71d305-9f0d-4703-90b7-dfe18bdf3b93 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images BARF: bundle-adjusting neural radiance fields
Reference 40
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Observation 54fdecd0-1aaa-4f83-8fa5-1ca43cef0263 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model
Reference 41
Source-reported events for the cited work
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Observation 9e7eaed4-93d9-4e87-9cd9-c17a2133b435 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Neural sparse voxel fields
Reference 42
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Observation 2de3041f-e551-4947-b136-6a45e55465ed · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images 3DGS-Enhancer: Enhancing Unbounded 3D Gaussian Splatting with View-consistent 2D Diffusion Priors
Reference 43
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Observation e5014f3d-3051-4c28-8c1f-d42b22aeb73f · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Kim, and Johannes Kopf
Reference 44
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Observation 0527cfb7-df0d-4859-aede-92ab49542c03 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Srinivasan, Matthew Tancik, Jonathan T
Reference 45
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Observation 3451b1d8-8050-4e19-a3d3-90526a18d96b · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Instant neural graphics primitives with a multires- olution hash encoding
Reference 46
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Observation c21cf74e-ba7b-4d9b-a35d-ed7f88bba291 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images The weiszfeld algorithm: Proof, amend- ments, and extensions
Reference 47
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Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Barron, and Ben Milden- hall
Reference 48
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Observation e17697b1-9aaf-477b-b0e7-3b2c344e6527 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Learning transferable visual models from natural language supervision
Reference 49
Source-reported events for the cited work
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Observation 5e15cc47-48cf-4ae4-a15e-a1849874e644 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Kilonerf: Speeding up neural radiance fields with thousands of tiny mlps
Reference 50
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Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Garbin, Pratul P
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Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Com- mon objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction
Reference 52
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Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images High-resolution image syn- thesis with latent diffusion models
Reference 53
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Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Structure-from-motion revisited
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Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Seitz and Charles R
Reference 55
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Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction
Reference 56
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Observation 67dee976-de48-431b-a083-619ff0682d6f · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction
Reference 57
Source-reported events for the cited work
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Observation edcc016c-ea69-4c2c-b80f-4c71179b46bb · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Loftr: Detector-free local feature matching with transformers
Reference 58
Source-reported events for the cited work
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Observation 676deeb8-7da0-4065-9426-b1ab2608e258 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Correspondence-Guided SfM-Free 3D Gaussian Splatting for NVS
Reference 59
Source-reported events for the cited work
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Observation 96f32f5f-e4be-42db-bf33-d4878d4e2180 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Resolution-robust large mask inpainting with fourier convolutions
Reference 60
Source-reported events for the cited work
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Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Nerfstudio: A modular framework for neural radiance field development
Reference 61
Source-reported events for the cited work
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Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Dreamgaussian: Generative gaussian splatting for effi- cient 3d content creation
Reference 62
Source-reported events for the cited work
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Observation 14757061-f42c-4309-9068-cf0f275158cf · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Least-squares estimation of transformation parameters between two point patterns
Reference 63
Source-reported events for the cited work
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Observation 8ad4d3b4-0149-4a54-9e15-c2662e62737b · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Nerf-sr: High quality neural radiance fields using supersampling
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Observation b0e9f398-edcc-46a7-9000-a8bfc2bc28ec · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Cut-and-fold: Automatic 3d modeling from a single image
Reference 65
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Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Sparsenerf: Distilling depth ranking for few-shot novel view synthesis
Reference 66
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Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images ModelScope Text-to-Video Technical Report
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Observation f99d5be3-9caf-4d2f-b426-56907a23558e · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction
Reference 68
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Observation 9a84b489-ded8-43cd-ac4f-806cbdf03024 · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images Dust3r: Geometric 3d vision made easy
Reference 69
Source-reported events for the cited work
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Observation 203b976b-01d8-4e15-b022-34366e3c1aef · outbound
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images End-to-end view synthesis for light field imaging with pseudo 4dcnn
Reference 70
Source-reported events for the cited work
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Reference 71
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Reference 72
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Reference 73
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Reference 74
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Reference 75
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Reference 77
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Reference 79
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Reference 80
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Reference 81
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Reference 82
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Reference 83
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Reference 84
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Reference 85
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Reference 86
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Reference 87
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Reference 88
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Reference 89
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Reference 90
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Reference 91
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Reference 595
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Reference 2024
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Reference 34
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Reference 22
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Reference 5
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