Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:21:35.984630Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 100 of 235 outbound references and 1 inbound Pith citation observation for arXiv:2505.10049.
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 2026-08-15T21:21:35.984630Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T08:45:15.026649Z
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 235 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation ba0e61c0-ed1c-4550-8af8-648fdf92263a · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Nerf: Representing scenes as neural radiance fields for view synthesis,
Reference 1
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Observation 6083b8c1-2fd8-4f22-bca4-8b1b1fd0a06e · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field 3d gaussian splatting for real-time radiance field ren- dering,
Reference 2
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Unavailable: canonical work link unavailable.
Observation 425554d6-85ce-438d-8f83-d3e9dd25e7e0 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision,
Reference 3
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Observation 37c6f5ed-a3fa-4f72-b0fc-4a8dad680435 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Instant neural graphics primitives with a multiresolution hash encoding,
Reference 4
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Observation 635cc3ae-b48c-4602-af51-346da02672e4 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Tensorf: Tensorial radiance fields,
Reference 5
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Unavailable: canonical work link unavailable.
Observation 03f7696a-05ea-4b8a-8f4f-73f5af0253ea · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Mip-nerf: A mul- tiscale representation for anti-aliasing neural radiance fields,
Reference 6
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Observation 529c7cb4-b640-446e-8674-8a012386664c · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Mip- splatting: Alias-free 3d gaussian splatting,
Reference 7
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Unavailable: canonical work link unavailable.
Observation 39c2191e-29bf-47ad-beef-f2497d2699b2 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field D-nerf: Neural radiance fields for dynamic scenes,
Reference 8
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Observation 9eafa48a-68ae-4fe6-9f07-cce0a547efb4 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Nerfies: Deformable neural radiance fields,
Reference 9
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Unavailable: canonical work link unavailable.
Observation 87e2e7a7-d3c4-4ce5-ad9e-d21e1198bdb5 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Hy- pernerf: a higher-dimensional representation for topolog- ically varying neural radiance fields,
Reference 10
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Observation deb91aba-e529-4d16-9dd7-73f632f8c691 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field 4d gaussian splatting for real-time dynamic scene rendering,
Reference 11
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Unavailable: canonical work link unavailable.
Observation b758f3c8-c663-4907-8630-ec0d63147b8a · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Deformable 3d gaussians for high-fidelity monocular dynamic scene reconstruction,
Reference 12
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Observation a6deac55-4524-4be5-8163-53d87e5a10c8 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Neural scene flow fields for space-time view synthesis of dynamic scenes,
Reference 13
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Observation 116214b8-49f1-4dcf-9839-e1c54a0ec3fe · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field K-planes: Explicit radiance fields in space, time, and appearance,
Reference 14
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Observation 5dcb7b26-b753-454c-b6b5-728aefce1444 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Hexplane: A fast representation for dynamic scenes,
Reference 15
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Observation 1a92b61b-7323-497e-bb6f-d1309a8f2421 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Robust dynamic radiance fields,
Reference 16
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Observation 9413e5eb-2d89-4a1e-99ba-518ba4a11363 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Dy- namic 3d gaussians: Tracking by persistent dynamic view synthesis,
Reference 17
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Observation bf04e015-1763-4e23-a2c3-740d4bda5058 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Tracking everything ev- erywhere all at once,
Reference 18
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Observation 5f7cd663-5fa0-4449-9521-95f9830c8ce9 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Flow supervision for deformable nerf,
Reference 19
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Observation 331b62d3-00dc-456d-96f0-91ca34ade6f8 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Dynibar: Neural dynamic image-based rendering,
Reference 20
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Unavailable: canonical work link unavailable.
Observation 84c74a47-288f-4cf1-ba42-3b8d64c66ae8 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Panoptic nerf: 3d-to-2d label transfer for panoptic urban scene segmentation,
Reference 21
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Observation bb52b81a-06b4-4ec2-a7cb-aef6555a1d8b · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Panoptic neural fields: A semantic object-aware neural scene representation,
Reference 22
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Observation f40aeb5e-d7ea-4e4f-b5fa-53e86e019e86 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Neural Trajectory Fields for Dynamic Novel View Synthesis
Reference 23
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Observation 80093ae6-9e7a-4cf5-9ff5-ba2974f60492 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Optical models for direct volume rendering,
Reference 24
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Observation efb5a473-3b16-40c9-b34a-9a6021b4208c · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Neural scene graphs for dynamic scenes,
Reference 25
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Observation 69c4922c-cf17-40cc-a2ac-d15de8e4a6a0 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Space-time neural irradiance fields for free-viewpoint video,
Reference 26
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Observation 3c19651b-f180-4472-bc00-dc69d4fa819b · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Real-time pho- torealistic dynamic scene representation and rendering with 4d gaussian splatting,
Reference 27
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Observation 1dd5fae9-c864-4940-81af-5cfde54d54fd · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Drivinggaussian: Composite gaussian splatting for surrounding dynamic autonomous driving scenes,
Reference 28
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Observation 0152215f-1248-4d30-adae-50101dc7f277 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Ewa volume splatting,
Reference 29
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Observation e97f5581-87cd-40b7-94f2-36e0c665a4e3 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans,
Reference 30
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Observation bcd1a0e6-290e-4aeb-b77e-d8eefcf48878 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Hugs: Human gaussian splats,
Reference 31
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Observation c2ea70fd-39bd-4c70-9290-a4d00969cb52 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Star: Self- supervised tracking and reconstruction of rigid objects in motion with neural rendering,
Reference 32
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Observation c0e3c617-b10f-4e09-a9e1-ff779ac5faae · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Smpl: A skinned multi-person linear model,
Reference 33
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Observation 65b0f5dc-7b18-4b56-b6c8-1ac9586fc28f · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Embodied hands: Modeling and capturing hands and bodies together,
Reference 34
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Observation f22b00f7-dd72-4e3c-adc2-5c2f0d6c9334 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Humannerf: Free- viewpoint rendering of moving people from monocular video,
Reference 35
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Observation 3898cd0d-2481-4259-a42e-d135446bbd57 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Neural actor: Neural free-view synthesis 16 of human actors with pose control,
Reference 36
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Observation 92140b95-fa96-42d3-9326-6da9833ecbb8 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Dynamic view synthesis from dynamic monocular video,
Reference 37
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Observation 9ff9732c-a450-451a-b64f-31703571726a · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Neural radiance flow for 4d view synthesis and video processing,
Reference 38
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Observation 8079d6c6-a121-4755-a6e0-58e151d45f94 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Fast dynamic radiance fields with time-aware neural voxels,
Reference 39
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Observation 15ca0530-64d8-47f9-98c4-00ca590a3b26 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Nerfplayer: A streamable dynamic scene representation with decomposed neural radiance fields,
Reference 40
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Observation 4288c4cb-b4a4-4baa-bed1-54a0f634a580 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Neural 3d video synthesis from multi-view video,
Reference 41
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Observation 04c24a5d-b927-46e3-81b8-0a6530fb8420 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Tensor4d: Efficient neural 4d decomposition for high- fidelity dynamic reconstruction and rendering,
Reference 42
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Observation 268de902-bd57-4eb3-b000-894055616944 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Gaufre: Gaussian deformation fields for real-time dynamic novel view synthesis,
Reference 43
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Observation 4e5db4c0-220e-4240-b0d1-d6edb099dc87 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field 3d geometry-aware deformable gaussian splatting for dynamic view synthesis,
Reference 44
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Observation dd14a1ee-5d45-4295-9535-57495011e53d · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Dynamic gaussian marbles for novel view synthesis of casual monocular videos,
Reference 45
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Observation 74033608-d6b3-4625-ac31-7202fa6f8702 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering
Reference 46
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Observation 765ab59e-59f7-4e75-9c4b-aed3d6a68ccd · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field DeformGS: Scene Flow in Highly Deformable Scenes for Deformable Object Manipulation
Reference 47
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Observation d33a08a9-df90-4eec-b8da-e7d5756fbb46 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Gart: Gaussian articulated template models,
Reference 48
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Observation e77bf647-286a-4c44-89da-af3df89dfe81 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field 3dgs-avatar: Animatable avatars via deformable 3d gaussian splatting,
Reference 49
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Observation 38c13889-3ea6-45a5-b1c5-db08b955b822 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Hugs: Holistic urban 3d scene understanding via gaussian splatting,
Reference 50
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Unavailable: canonical work link unavailable.
Observation b8ca2af2-afd8-4ed6-bdbc-30b95fc3f05b · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Dynamic 3d gaussian fields for urban areas,
Reference 51
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Observation 50578800-0494-4505-bff9-a8c1608e9c8c · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Street gaussians: Mod- eling dynamic urban scenes with gaussian splatting,
Reference 52
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Observation 9c5cc616-ec43-444e-b976-f423fd3c685f · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field A Brief Review on Differentiable Rendering: Recent Advances and Challenges,
Reference 53
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Observation 41243171-ef27-4d61-b91d-8696a86954e2 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Neural fields in visual computing and beyond,
Reference 54
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Observation c3788742-c506-4a69-a88a-5b65fc5f95d9 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Nerf: Neu- ral radiance field in 3d vision, a comprehensive review,
Reference 55
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Observation 9cde0e94-1649-4064-9ebd-f37502a5f708 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field A survey on 3d gaussian splat- ting,
Reference 56
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Observation 8aa55c2e-8d9c-45d7-b2c4-2da6a16df792 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Recent advances in 3d gaussian splatting,
Reference 57
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Observation 398ab90b-6bdc-45c9-b9d6-8044af6854f2 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field 3d gaussian splatting: Survey, technologies, challenges, and opportunities,
Reference 58
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Observation 5788fcf2-a3cc-4923-b104-d50cc4304623 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field How nerfs and 3d gaussian splatting are reshaping slam: A survey,
Reference 59
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Observation 174ac1f7-07f4-49da-8fef-1c99a426af0b · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Neural radiance fields in the industrial and robotics domain: Applications, research opportunities and use cases,
Reference 60
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Observation 2389d22a-9eb7-4400-8424-ba07c36c880a · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field NeRF in robotics: A survey,
Reference 61
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Observation 79232fe8-a646-444c-9aad-cb9cb5857c8a · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Human 3d avatar modeling with implicit neural representation: A brief survey,
Reference 62
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Observation 4ca7a1ef-b320-4fc4-b2f4-79808e76bc49 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Benchmarking neural radiance fields for autonomous robots: An overview,
Reference 63
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Observation 8546c542-53ac-45a4-a214-69dc2ae3766b · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Recent Trends in 3D Reconstruc- tion of General Non-Rigid Scenes,
Reference 64
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Observation 69e3c816-3e45-48ce-aa83-06f638d2e2aa · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field State of the Art in Dense Monocular Non-Rigid 3D Reconstruction,
Reference 65
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Observation 1596459c-5072-4541-a064-c595ff5571f5 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field 3d human avatar reconstruction with neural fields: A recent survey,
Reference 66
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Observation 95a8990f-3a7a-45d0-95b3-1c60c5c6e094 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Survey on modeling of human-made articulated objects,
Reference 67
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Observation e1a85ba4-4bd0-4f5f-a97a-7462f31178a6 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Monocular dynamic view synthesis: A reality check,
Reference 68
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Observation ed74cd0e-9778-4300-9ccd-bd0e7a4f3d49 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Ar- ticulated and elastic non-rigid motion: A review,
Reference 69
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Observation 1c0ea373-2868-4f6e-8726-6335bb7be13c · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Neural Radiance Field in Autonomous Driving: A Survey,
Reference 70
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Observation 4acf364e-a387-4444-97d0-afd07ab63efc · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Suds: Scalable urban dynamic scenes,
Reference 71
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Observation a332a972-b929-4d9d-a67e-90a656e6ae6e · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field OmniRe: Omni Urban Scene Reconstruction,
Reference 72
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Observation 3c1dd977-b345-456a-88f3-d839d8b5b51c · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field The space of human body shapes: reconstruction and parameterization from range scans,
Reference 73
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Observation bf9c062c-88e8-455e-8e5f-ec2e0b26e832 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Expressive body capture: 3d hands, face, and body from a single image,
Reference 74
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Observation 3b3f2334-0f08-499e-83d2-26777ca98748 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Npc: Neural point characters from video,
Reference 75
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Observation 07d1bd10-a59b-4a73-a5e0-1b17a3e3a890 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Tava: Template-free animatable volu- metric actors,
Reference 76
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Observation 0b68e40f-f81a-4c2f-afb7-7bce535dab72 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Rec-mv: Reconstructing 3d dynamic cloth from monoc- 17 ular videos,
Reference 77
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Observation dfba86de-f2bb-4872-a103-1a2b312f1f09 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Selfrecon: Self reconstruction your digital avatar from monocular video,
Reference 78
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Observation d38fc679-46f3-4e28-a021-067a48581588 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field " the plenoptic function and the elements of early vision
Reference 79
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Observation 7d6d9ca5-72f3-46cd-846e-9bfbf8fb8af6 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Temporal interpolation is all you need for dynamic neural radiance fields,
Reference 80
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Observation 0dd1a1f1-eafe-4334-82eb-a723bb021e30 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Neural volumes: Learning dynamic renderable volumes from images,
Reference 81
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Observation 28515687-0f15-48f2-9fce-0fcf6cfe2849 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field D^ 2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video,
Reference 82
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Observation f5437c6c-6a43-45f5-8ed4-f23589ad0f02 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field MoDGS: Dynamic Gaussian Splat- ting from Causually-captured Monocular Videos,
Reference 83
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Observation ad66d889-08ae-46b5-a9ee-bf1e8eb16acd · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Neural surface reconstruction of dynamic scenes with monocular rgb-d camera,
Reference 84
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Observation 6c8e0a8f-21ce-4fb2-9f00-a58e16a64fc2 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Occupancy flow: 4d reconstruction by learning particle dynamics,
Reference 85
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Observation 843cbaec-2607-4f70-997e-9b4471c018d5 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Orb: An efficient alternative to sift or surf,
Reference 86
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Observation abbe8370-4b8e-4cec-b9b3-f5b4d924b5b9 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field An iterative image registra- tion technique with an application to stereo vision,
Reference 87
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Observation 4082ba49-ed5f-48ab-82b7-90cfa7774a21 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume,
Reference 88
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Observation 140dc72e-cdf2-411f-8c73-be889e07f99f · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Raft: Recurrent all-pairs field trans- forms for optical flow,
Reference 89
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Observation 05736c24-f3c6-4114-97e0-8a88c3853a46 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Particle video: Long-range motion estimation using point trajectories,
Reference 90
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Observation 8ad2ae94-13fb-4a7e-b0a1-22a05b21fdd9 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Tap-vid: A benchmark for tracking any point in a video,
Reference 91
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Observation ec7d0194-4ef0-430c-9c6a-1413f695d0aa · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Particle video revisited: Tracking through occlusions using point trajectories,
Reference 92
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Observation cf69cf82-9085-49d9-ad80-f39e1dec4f8e · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Efficient geometry-aware 3d generative adversar- ial networks,
Reference 93
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Observation 7abd2488-b28f-4600-9761-e362fe6668e3 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Mars: An instance- aware, modular and realistic simulator for autonomous driving,
Reference 94
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Observation 5aec865d-420f-4663-8849-5eccd62d392b · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Unisim: A neural closed- loop sensor simulator,
Reference 95
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Observation 77e184b0-fe24-46e9-b081-61d1837bfc5c · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field S-nerf: Neural radiance fields for street views,
Reference 96
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Observation 58b27790-19ef-46e8-b1e8-aabd29561ab9 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Multi-level neural scene graphs for dynamic urban environments,
Reference 97
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Observation 71e26233-9ce5-4f83-9a54-43508bbc8f09 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Neurad: Neural render- ing for autonomous driving,
Reference 98
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Observation 8359f219-e91e-4f0d-82b7-b6891b65cdad · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Autosplat: Constrained gaussian splatting for autonomous driving scene reconstruction,
Reference 99
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Observation b0c2c6b3-e842-4b77-b149-e7d1baf91167 · outbound
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Prosgnerf: Progressive dynamic neural scene graph with frequency modulated auto-encoder in urban scenes,
Reference 100
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Observation cdb7e0b1-f355-4c8b-a6de-4cb739df9f81 · inbound
Advances in 4D Representation: Geometry, Motion, and Interaction Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field
Reference 73
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