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Paper Citation Record · LEDGER

Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field

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.

pith.paper-citation-record.v1
2505.10049 v2

Coverage vector

measured 100 of 235 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:21:35.984630Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:45:15.026649Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 235 outbound references displayed

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  • verified fuzzy0
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  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ba0e61c0-ed1c-4550-8af8-648fdf92263a · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

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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source=pdf_text observed=2026-08-15T21:21:35.586610Z digest=sha256:dc22274911b6d0577c4208e8edb6bcd3271fa3d09c8f8260814970d70d031cbc

Observation 6083b8c1-2fd8-4f22-bca4-8b1b1fd0a06e · outbound

This paper cites 3d gaussian splatting for real-time radiance field ren- dering,.

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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source=pdf_text observed=2026-08-15T21:21:35.593371Z digest=sha256:51f043dff50dd7083d98f27b7994444b14e16bb22e731ec51dc80f91cd5e4ba9

Observation 425554d6-85ce-438d-8f83-d3e9dd25e7e0 · outbound

This paper cites Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision,.

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

This paper cites Instant neural graphics primitives with a multiresolution hash encoding,.

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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source=pdf_text observed=2026-08-15T21:21:35.602258Z digest=sha256:ffb26c8f0030002af0942e735f432a0f4b111e088101c72c2c49362c7c76bd0b

Observation 635cc3ae-b48c-4602-af51-346da02672e4 · outbound

This paper cites Tensorf: Tensorial radiance fields,.

Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Tensorf: Tensorial radiance fields,

Reference 5

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source=pdf_text observed=2026-08-15T21:21:35.606565Z digest=sha256:cd6485c3735d434b29df1e7fffb249d2e9a1401dca588ef8c1136ffb08d2aedd

Observation 03f7696a-05ea-4b8a-8f4f-73f5af0253ea · outbound

This paper cites Mip-nerf: A mul- tiscale representation for anti-aliasing neural radiance fields,.

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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source=pdf_text observed=2026-08-15T21:21:35.610543Z digest=sha256:d918bfeec895d54a8c616b86e4451a90f3b1b9400699045d07ab29aee48e2cc8

Observation 529c7cb4-b640-446e-8674-8a012386664c · outbound

This paper cites Mip- splatting: Alias-free 3d gaussian splatting,.

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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Observation 39c2191e-29bf-47ad-beef-f2497d2699b2 · outbound

This paper cites D-nerf: Neural radiance fields for dynamic scenes,.

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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source=pdf_text observed=2026-08-15T21:21:35.618743Z digest=sha256:88562ec47ccc25d832f538ba7e92d4c3da3f23baa43d49d681f99c5d466de237

Observation 9eafa48a-68ae-4fe6-9f07-cce0a547efb4 · outbound

This paper cites Nerfies: Deformable neural radiance fields,.

Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Nerfies: Deformable neural radiance fields,

Reference 9

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source=pdf_text observed=2026-08-15T21:21:35.622547Z digest=sha256:370eba6e7257af2851c9d319f9c6cca9cd69dd21a55f8f8f9eecd35c016c2f18

Observation 87e2e7a7-d3c4-4ce5-ad9e-d21e1198bdb5 · outbound

This paper cites Hy- pernerf: a higher-dimensional representation for topolog- ically varying neural radiance fields,.

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

This paper cites 4d gaussian splatting for real-time dynamic scene rendering,.

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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Observation b758f3c8-c663-4907-8630-ec0d63147b8a · outbound

This paper cites Deformable 3d gaussians for high-fidelity monocular dynamic scene reconstruction,.

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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source=pdf_text observed=2026-08-15T21:21:35.634387Z digest=sha256:1d2856421bc78786275fdc1f546dfa30697e6269c1ad1340f02e5dcbe0329415

Observation a6deac55-4524-4be5-8163-53d87e5a10c8 · outbound

This paper cites Neural scene flow fields for space-time view synthesis of dynamic scenes,.

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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source=pdf_text observed=2026-08-15T21:21:35.637956Z digest=sha256:c1a68270873562fd2e8633ba455da0f6e5be38bb3c17e47e06f10b0b85fc8ae5

Observation 116214b8-49f1-4dcf-9839-e1c54a0ec3fe · outbound

This paper cites K-planes: Explicit radiance fields in space, time, and appearance,.

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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source=pdf_text observed=2026-08-15T21:21:35.641474Z digest=sha256:75db6824c3b13468beae6269880faa44e529b90111386c7ee4b4f12f905d1d8d

Observation 5dcb7b26-b753-454c-b6b5-728aefce1444 · outbound

This paper cites Hexplane: A fast representation for dynamic scenes,.

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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source=pdf_text observed=2026-08-15T21:21:35.645245Z digest=sha256:dd04c2d3913f191e774aebb143549812f37771a93f4a4fa3d5eb132a27652557

Observation 1a92b61b-7323-497e-bb6f-d1309a8f2421 · outbound

This paper cites Robust dynamic radiance fields,.

Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Robust dynamic radiance fields,

Reference 16

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source=pdf_text observed=2026-08-15T21:21:35.648596Z digest=sha256:6f6f53544e03e9a6734609868d21b3b9e3e9e833ecfca8e6bc34522f1ecb90ad

Observation 9413e5eb-2d89-4a1e-99ba-518ba4a11363 · outbound

This paper cites Dy- namic 3d gaussians: Tracking by persistent dynamic view synthesis,.

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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source=pdf_text observed=2026-08-15T21:21:35.652704Z digest=sha256:11d0b74f29917e81257af63cd8dec6632ac88590e126485dd82b382d504c8ce7

Observation bf04e015-1763-4e23-a2c3-740d4bda5058 · outbound

This paper cites Tracking everything ev- erywhere all at once,.

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

This paper cites Flow supervision for deformable nerf,.

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

This paper cites Dynibar: Neural dynamic image-based rendering,.

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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source=pdf_text observed=2026-08-15T21:21:35.664192Z digest=sha256:58db37c8cd2f370d5c3c3096e2f4e54919a133e21fa58d061b4cd7f7d94a9d7f

Observation 84c74a47-288f-4cf1-ba42-3b8d64c66ae8 · outbound

This paper cites Panoptic nerf: 3d-to-2d label transfer for panoptic urban scene segmentation,.

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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source=pdf_text observed=2026-08-15T21:21:35.669109Z digest=sha256:dc83c27014e46fd376bd631c6500fcbf0f007856b354c4572c325f771e864005

Observation bb52b81a-06b4-4ec2-a7cb-aef6555a1d8b · outbound

This paper cites Panoptic neural fields: A semantic object-aware neural scene representation,.

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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source=pdf_text observed=2026-08-15T21:21:35.674555Z digest=sha256:699f17b52dacef56fa1e33512f2be5088d668625891ab7c8f178ea41eb6e441a

Observation f40aeb5e-d7ea-4e4f-b5fa-53e86e019e86 · outbound

This paper cites Neural Trajectory Fields for Dynamic Novel View Synthesis.

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

This paper cites Optical models for direct volume rendering,.

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

This paper cites Neural scene graphs for dynamic scenes,.

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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source=pdf_text observed=2026-08-15T21:21:35.685966Z digest=sha256:f601c603009081a4b4f76ed9d38f45762cfe74d7bc2b9b8de04d7246844fc442

Observation 69c4922c-cf17-40cc-a2ac-d15de8e4a6a0 · outbound

This paper cites Space-time neural irradiance fields for free-viewpoint video,.

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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source=pdf_text observed=2026-08-15T21:21:35.690894Z digest=sha256:54b17604765b57a9e95befbf393f964fb0e2aea86707ab46154b698b37eba81c

Observation 3c19651b-f180-4472-bc00-dc69d4fa819b · outbound

This paper cites Real-time pho- torealistic dynamic scene representation and rendering with 4d gaussian splatting,.

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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source=pdf_text observed=2026-08-15T21:21:35.695355Z digest=sha256:353398051d59b31664827472af6894305e6226bbc6aead13a1d7dd889da9e3d9

Observation 1dd5fae9-c864-4940-81af-5cfde54d54fd · outbound

This paper cites Drivinggaussian: Composite gaussian splatting for surrounding dynamic autonomous driving scenes,.

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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source=pdf_text observed=2026-08-15T21:21:35.700350Z digest=sha256:4b18b04bea0bd62ac6aadceeb9630aef2571c1d72204a1435c8171918c8f137a

Observation 0152215f-1248-4d30-adae-50101dc7f277 · outbound

This paper cites Ewa volume splatting,.

Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Ewa volume splatting,

Reference 29

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source=pdf_text observed=2026-08-15T21:21:35.704328Z digest=sha256:96058cb6c97ea70a7f1a716f10361e0a7325c25b6e31bbe55dc140c158ff5f26

Observation e97f5581-87cd-40b7-94f2-36e0c665a4e3 · outbound

This paper cites Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans,.

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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source=pdf_text observed=2026-08-15T21:21:35.707664Z digest=sha256:3286cdfcf7a72305e8497d7c6cd8ed9b385714cfc8004cba7afc997e670b4e2b

Observation bcd1a0e6-290e-4aeb-b77e-d8eefcf48878 · outbound

This paper cites Hugs: Human gaussian splats,.

Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Hugs: Human gaussian splats,

Reference 31

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source=pdf_text observed=2026-08-15T21:21:35.711568Z digest=sha256:7bc7ab8f44046d2e0cb7d0e33be329e942f32d6aae3dd3cb84f059df13793d5b

Observation c2ea70fd-39bd-4c70-9290-a4d00969cb52 · outbound

This paper cites Star: Self- supervised tracking and reconstruction of rigid objects in motion with neural rendering,.

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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source=pdf_text observed=2026-08-15T21:21:35.714994Z digest=sha256:71b81003e1aad22d7d7d5b2df6808fc43a71b6563e9e24b4c7fc83c5447c0ffa

Observation c0e3c617-b10f-4e09-a9e1-ff779ac5faae · outbound

This paper cites Smpl: A skinned multi-person linear model,.

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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source=pdf_text observed=2026-08-15T21:21:35.718428Z digest=sha256:3c97bfd3f2ae38cab5ef179d73fd366113db9128f7837c691ae0de7eb8ff6ddc

Observation 65b0f5dc-7b18-4b56-b6c8-1ac9586fc28f · outbound

This paper cites Embodied hands: Modeling and capturing hands and bodies together,.

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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source=pdf_text observed=2026-08-15T21:21:35.722376Z digest=sha256:33dee1358e55cf6f0a4d28fc952d6586581547481d52c47dab8ae9c25e19f12b

Observation f22b00f7-dd72-4e3c-adc2-5c2f0d6c9334 · outbound

This paper cites Humannerf: Free- viewpoint rendering of moving people from monocular video,.

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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source=pdf_text observed=2026-08-15T21:21:35.725876Z digest=sha256:c1cbb3f5f2737c64b94224b6098bd8f83d17802b0ddacdb906fade24b0c249b5

Observation 3898cd0d-2481-4259-a42e-d135446bbd57 · outbound

This paper cites Neural actor: Neural free-view synthesis 16 of human actors with pose control,.

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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source=pdf_text observed=2026-08-15T21:21:35.730069Z digest=sha256:3288be3d13ca153c449ef899c586c50cf62f8a7b569d229ea68534fae37c148c

Observation 92140b95-fa96-42d3-9326-6da9833ecbb8 · outbound

This paper cites Dynamic view synthesis from dynamic monocular video,.

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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source=pdf_text observed=2026-08-15T21:21:35.733193Z digest=sha256:efe7972b5b84719faa7922e78eea6f17a403ae37ebd58b749bf5aab5c427baf5

Observation 9ff9732c-a450-451a-b64f-31703571726a · outbound

This paper cites Neural radiance flow for 4d view synthesis and video processing,.

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

This paper cites Fast dynamic radiance fields with time-aware neural voxels,.

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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source=pdf_text observed=2026-08-15T21:21:35.739353Z digest=sha256:818f8ae2f221ea93df3b9f83fb6f9315c6b58ea887ee2659d625b605690640f7

Observation 15ca0530-64d8-47f9-98c4-00ca590a3b26 · outbound

This paper cites Nerfplayer: A streamable dynamic scene representation with decomposed neural radiance fields,.

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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source=pdf_text observed=2026-08-15T21:21:35.742576Z digest=sha256:e5d55ef369b0fcf1cb94114b31416cf8aadd995b89685e70f1096bbe51d9cb2e

Observation 4288c4cb-b4a4-4baa-bed1-54a0f634a580 · outbound

This paper cites Neural 3d video synthesis from multi-view video,.

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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source=pdf_text observed=2026-08-15T21:21:35.745652Z digest=sha256:63f114f4a7b8b543b8dd2ed27cc297b19065801681a462da70d9dbf210e4f974

Observation 04c24a5d-b927-46e3-81b8-0a6530fb8420 · outbound

This paper cites Tensor4d: Efficient neural 4d decomposition for high- fidelity dynamic reconstruction and rendering,.

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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source=pdf_text observed=2026-08-15T21:21:35.749653Z digest=sha256:b7f2a19ffe8ea2987d23feed5af55615014d777d92bf62ac5da3da0127525389

Observation 268de902-bd57-4eb3-b000-894055616944 · outbound

This paper cites Gaufre: Gaussian deformation fields for real-time dynamic novel view synthesis,.

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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source=pdf_text observed=2026-08-15T21:21:35.753905Z digest=sha256:833e3ba887a89753156e38f3af6336fe927fb175296281b7ae57924c4f1a1656

Observation 4e5db4c0-220e-4240-b0d1-d6edb099dc87 · outbound

This paper cites 3d geometry-aware deformable gaussian splatting for dynamic view synthesis,.

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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source=pdf_text observed=2026-08-15T21:21:35.759129Z digest=sha256:4a3b72476444186299532bd13e94c6cac84eed8bdb1eea6fac00de29df526a3e

Observation dd14a1ee-5d45-4295-9535-57495011e53d · outbound

This paper cites Dynamic gaussian marbles for novel view synthesis of casual monocular videos,.

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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source=pdf_text observed=2026-08-15T21:21:35.763776Z digest=sha256:fe0cd64e0ef9e98a56dffc0f6832250d6ed087f193d1983c3cf6cd0f07b91b97

Observation 74033608-d6b3-4625-ac31-7202fa6f8702 · outbound

This paper cites Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering.

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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source=pdf_text observed=2026-08-15T21:21:35.767648Z digest=sha256:d8a2a033eb5b17b66406120709612fef1078c54bd58a149ebc6ec6436725799a

Observation 765ab59e-59f7-4e75-9c4b-aed3d6a68ccd · outbound

This paper cites DeformGS: Scene Flow in Highly Deformable Scenes for Deformable Object Manipulation.

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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source=pdf_text observed=2026-08-15T21:21:35.772045Z digest=sha256:50286e4ff534f651090b455880cc381c3631d50fd0f6429d44abf5ff356ab877

Observation d33a08a9-df90-4eec-b8da-e7d5756fbb46 · outbound

This paper cites Gart: Gaussian articulated template models,.

Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Gart: Gaussian articulated template models,

Reference 48

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source=pdf_text observed=2026-08-15T21:21:35.776761Z digest=sha256:4fbc2dc5fba03aaf474f59ca3973ed252f3ac1c3d8889ed594f23b15522a5dd6

Observation e77bf647-286a-4c44-89da-af3df89dfe81 · outbound

This paper cites 3dgs-avatar: Animatable avatars via deformable 3d gaussian splatting,.

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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source=pdf_text observed=2026-08-15T21:21:35.780496Z digest=sha256:c6f297acd3e1a093cdc46b51d6e3fdf41bb54026bd875919d0356fcd45f23a83

Observation 38c13889-3ea6-45a5-b1c5-db08b955b822 · outbound

This paper cites Hugs: Holistic urban 3d scene understanding via gaussian splatting,.

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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source=pdf_text observed=2026-08-15T21:21:35.784383Z digest=sha256:e225ca619302644a055fdedc893b245d4bd13511de4268ce3df5d3a60588c269

Observation b8ca2af2-afd8-4ed6-bdbc-30b95fc3f05b · outbound

This paper cites Dynamic 3d gaussian fields for urban areas,.

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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source=pdf_text observed=2026-08-15T21:21:35.788346Z digest=sha256:75abad3d51195d7eee2a8b1db409d8d27b9ee42936288f44f78937e3aaac8baa

Observation 50578800-0494-4505-bff9-a8c1608e9c8c · outbound

This paper cites Street gaussians: Mod- eling dynamic urban scenes with gaussian splatting,.

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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source=pdf_text observed=2026-08-15T21:21:35.792234Z digest=sha256:521f50a62069849cd4f8b0022516a1a48ef576c6f11d5ca8e43f8e4d6482e527

Observation 9c5cc616-ec43-444e-b976-f423fd3c685f · outbound

This paper cites A Brief Review on Differentiable Rendering: Recent Advances and Challenges,.

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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source=pdf_text observed=2026-08-15T21:21:35.796495Z digest=sha256:66180735836c20f85e6a30d84a9813f432acbf287c1c7f155878d49b03e30ba4

Observation 41243171-ef27-4d61-b91d-8696a86954e2 · outbound

This paper cites Neural fields in visual computing and beyond,.

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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source=pdf_text observed=2026-08-15T21:21:35.800460Z digest=sha256:a1ea14ee3a79107e64459f39baae0021afe85ffecb90653c9850511fb7a075f0

Observation c3788742-c506-4a69-a88a-5b65fc5f95d9 · outbound

This paper cites Nerf: Neu- ral radiance field in 3d vision, a comprehensive review,.

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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source=pdf_text observed=2026-08-15T21:21:35.804354Z digest=sha256:36f46448c43056def152f8e5a8b99cb826f1ef3ce19d310ac2468d99b1ac6bd9

Observation 9cde0e94-1649-4064-9ebd-f37502a5f708 · outbound

This paper cites A survey on 3d gaussian splat- ting,.

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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source=pdf_text observed=2026-08-15T21:21:35.809397Z digest=sha256:3c48a8b0339447dba6403f9e6a6a0859edf33084232b6a7343181719b8090e7a

Observation 8aa55c2e-8d9c-45d7-b2c4-2da6a16df792 · outbound

This paper cites Recent advances in 3d gaussian splatting,.

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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source=pdf_text observed=2026-08-15T21:21:35.817881Z digest=sha256:a53cb3780646734d1786d11aa5dcb922cc3090a3e31aceffb35007e7dafc9598

Observation 398ab90b-6bdc-45c9-b9d6-8044af6854f2 · outbound

This paper cites 3d gaussian splatting: Survey, technologies, challenges, and opportunities,.

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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source=pdf_text observed=2026-08-15T21:21:35.821997Z digest=sha256:0ae6117bdde6a8470d4f009629ee30ec9507652e25d97c024f2f25a729a59a0f

Observation 5788fcf2-a3cc-4923-b104-d50cc4304623 · outbound

This paper cites How nerfs and 3d gaussian splatting are reshaping slam: A survey,.

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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source=pdf_text observed=2026-08-15T21:21:35.825456Z digest=sha256:3478cf1c6a0cfd5b6724646c29478d5a43287bbc5210e3f433afeefb81c44129

Observation 174ac1f7-07f4-49da-8fef-1c99a426af0b · outbound

This paper cites Neural radiance fields in the industrial and robotics domain: Applications, research opportunities and use cases,.

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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source=pdf_text observed=2026-08-15T21:21:35.828586Z digest=sha256:4c122eeba632475360ebb3c0a90ea3e66b1a4b0ea6aaa8bb5609503f0c9678c2

Observation 2389d22a-9eb7-4400-8424-ba07c36c880a · outbound

This paper cites NeRF in robotics: A survey,.

Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field NeRF in robotics: A survey,

Reference 61

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source=pdf_text observed=2026-08-15T21:21:35.832177Z digest=sha256:0b2444618c145e16c27b2d39153289fd6f8c1696041bc4f986b0f4ff528e7445

Observation 79232fe8-a646-444c-9aad-cb9cb5857c8a · outbound

This paper cites Human 3d avatar modeling with implicit neural representation: A brief survey,.

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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source=pdf_text observed=2026-08-15T21:21:35.836004Z digest=sha256:ddc56a43c9ca2d00440b2ccda71133b344a40333d6ab963f5d7ef2aa8a601f14

Observation 4ca7a1ef-b320-4fc4-b2f4-79808e76bc49 · outbound

This paper cites Benchmarking neural radiance fields for autonomous robots: An overview,.

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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source=pdf_text observed=2026-08-15T21:21:35.840035Z digest=sha256:7577e7f446ee4079ad2f77849d0b615fa505abf912b4db71b6e9c1777be287b1

Observation 8546c542-53ac-45a4-a214-69dc2ae3766b · outbound

This paper cites Recent Trends in 3D Reconstruc- tion of General Non-Rigid Scenes,.

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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source=pdf_text observed=2026-08-15T21:21:35.843919Z digest=sha256:bd81de51f1fa5930679d8c63288892fc6d3009b7c0bf359aa7705c383f47d5fc

Observation 69e3c816-3e45-48ce-aa83-06f638d2e2aa · outbound

This paper cites State of the Art in Dense Monocular Non-Rigid 3D Reconstruction,.

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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source=pdf_text observed=2026-08-15T21:21:35.848625Z digest=sha256:16ad795c2224ee6fc2378e3a79e4bc7c06912cc81d864c3ba3f7fbff4799b0a8

Observation 1596459c-5072-4541-a064-c595ff5571f5 · outbound

This paper cites 3d human avatar reconstruction with neural fields: A recent survey,.

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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source=pdf_text observed=2026-08-15T21:21:35.854518Z digest=sha256:33a3dccf001c8a7cc5e865c7f218b3976d3a351608f7e3d40d5d169c002f87cf

Observation 95a8990f-3a7a-45d0-95b3-1c60c5c6e094 · outbound

This paper cites Survey on modeling of human-made articulated objects,.

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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source=pdf_text observed=2026-08-15T21:21:35.858574Z digest=sha256:c59685105762af7f77818cb4a7665cc277697d6f879beda68580a241b4e17dbe

Observation e1a85ba4-4bd0-4f5f-a97a-7462f31178a6 · outbound

This paper cites Monocular dynamic view synthesis: A reality check,.

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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source=pdf_text observed=2026-08-15T21:21:35.862651Z digest=sha256:87bc7a048e10944f26baf838b629a49f706146ba71473061fb557458284bbda5

Observation ed74cd0e-9778-4300-9ccd-bd0e7a4f3d49 · outbound

This paper cites Ar- ticulated and elastic non-rigid motion: A review,.

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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source=pdf_text observed=2026-08-15T21:21:35.866658Z digest=sha256:ce0dad8742e2f0eb77554816594ec730c221924b18812722f55e873efd1be22e

Observation 1c0ea373-2868-4f6e-8726-6335bb7be13c · outbound

This paper cites Neural Radiance Field in Autonomous Driving: A Survey,.

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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source=pdf_text observed=2026-08-15T21:21:35.870491Z digest=sha256:68c932d9dbb5674d9cbff35068d60a1cbb2c2a60d6450574d929f6c61991f8d6

Observation 4acf364e-a387-4444-97d0-afd07ab63efc · outbound

This paper cites Suds: Scalable urban dynamic scenes,.

Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Suds: Scalable urban dynamic scenes,

Reference 71

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source=pdf_text observed=2026-08-15T21:21:35.874310Z digest=sha256:3e34243256b8b8fd4320692501b27bffbb7849078c4c4a51204b214607946cf8

Observation a332a972-b929-4d9d-a67e-90a656e6ae6e · outbound

This paper cites OmniRe: Omni Urban Scene Reconstruction,.

Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field OmniRe: Omni Urban Scene Reconstruction,

Reference 72

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source=pdf_text observed=2026-08-15T21:21:35.877953Z digest=sha256:dab910ca24be27b247369a77f702f02069ffd5f5d8d41240d8d5031c2a7ce0d8

Observation 3c1dd977-b345-456a-88f3-d839d8b5b51c · outbound

This paper cites The space of human body shapes: reconstruction and parameterization from range scans,.

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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source=pdf_text observed=2026-08-15T21:21:35.883604Z digest=sha256:7b7bba900a588dd475f68d39bb6aa4c7be1f04f1d9924522ebc647f8088e2497

Observation bf9c062c-88e8-455e-8e5f-ec2e0b26e832 · outbound

This paper cites Expressive body capture: 3d hands, face, and body from a single image,.

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T21:21:35.888125Z digest=sha256:948024fccc0226365f96d59692c9d395d2e7d53970c62c1664ad25d97e816eda

Observation 3b3f2334-0f08-499e-83d2-26777ca98748 · outbound

This paper cites Npc: Neural point characters from video,.

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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source=pdf_text observed=2026-08-15T21:21:35.893612Z digest=sha256:0faa06b8c3efd75109c6e6b153032f3b3ee4e9ac824a4c80fab2df334cf906d5

Observation 07d1bd10-a59b-4a73-a5e0-1b17a3e3a890 · outbound

This paper cites Tava: Template-free animatable volu- metric actors,.

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

This paper cites Rec-mv: Reconstructing 3d dynamic cloth from monoc- 17 ular videos,.

Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field Rec-mv: Reconstructing 3d dynamic cloth from monoc- 17 ular videos,

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Observation dfba86de-f2bb-4872-a103-1a2b312f1f09 · outbound

This paper cites Selfrecon: Self reconstruction your digital avatar from monocular video,.

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

This paper cites " the plenoptic function and the elements of early vision.

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

This paper cites Temporal interpolation is all you need for dynamic neural radiance fields,.

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

This paper cites Neural volumes: Learning dynamic renderable volumes from images,.

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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no resolver link, observed 2026-08-15T21:21:35.915496Z

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Observation 28515687-0f15-48f2-9fce-0fcf6cfe2849 · outbound

This paper cites D^ 2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video,.

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

This paper cites MoDGS: Dynamic Gaussian Splat- ting from Causually-captured Monocular Videos,.

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

This paper cites Neural surface reconstruction of dynamic scenes with monocular rgb-d camera,.

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

This paper cites Occupancy flow: 4d reconstruction by learning particle dynamics,.

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

This paper cites Orb: An efficient alternative to sift or surf,.

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

This paper cites An iterative image registra- tion technique with an application to stereo vision,.

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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no resolver link, observed 2026-08-15T21:21:35.938281Z

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Observation 4082ba49-ed5f-48ab-82b7-90cfa7774a21 · outbound

This paper cites Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume,.

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

This paper cites Raft: Recurrent all-pairs field trans- forms for optical flow,.

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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source=pdf_text observed=2026-08-15T21:21:35.944721Z digest=sha256:eac082b1b9d24dcff25f1107e1211a1e814dcaeef613d540b8f40fc1f916afe6

Observation 05736c24-f3c6-4114-97e0-8a88c3853a46 · outbound

This paper cites Particle video: Long-range motion estimation using point trajectories,.

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

This paper cites Tap-vid: A benchmark for tracking any point in a video,.

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

This paper cites Particle video revisited: Tracking through occlusions using point trajectories,.

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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source=pdf_text observed=2026-08-15T21:21:35.955023Z digest=sha256:a36018904d8d3c0e6f34abebfc8b7216e4de49a75feee64dc0b2a4b480d95958

Observation cf69cf82-9085-49d9-ad80-f39e1dec4f8e · outbound

This paper cites Efficient geometry-aware 3d generative adversar- ial networks,.

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

This paper cites Mars: An instance- aware, modular and realistic simulator for autonomous driving,.

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

This paper cites Unisim: A neural closed- loop sensor simulator,.

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

This paper cites S-nerf: Neural radiance fields for street views,.

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

This paper cites Multi-level neural scene graphs for dynamic urban environments,.

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

This paper cites Neurad: Neural render- ing for autonomous driving,.

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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source=pdf_text observed=2026-08-15T21:21:35.977561Z digest=sha256:08aee3d102cfb2a66587661b7dc666e64f1b8ad2b724f3172add7bdf939e1297

Observation 8359f219-e91e-4f0d-82b7-b6891b65cdad · outbound

This paper cites Autosplat: Constrained gaussian splatting for autonomous driving scene reconstruction,.

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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source=pdf_text observed=2026-08-15T21:21:35.980753Z digest=sha256:0fc32077815bb9a2694b36e309606a7aa32dc49510e534229733712097148726

Observation b0c2c6b3-e842-4b77-b149-e7d1baf91167 · outbound

This paper cites Prosgnerf: Progressive dynamic neural scene graph with frequency modulated auto-encoder in urban scenes,.

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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source=pdf_text observed=2026-08-15T21:21:35.984630Z digest=sha256:40433d1af4a4bedbb84a7193ee0ab3282af550bd32737d3a2ff37d2c0b42362d

Pith citing papers

Observation cdb7e0b1-f355-4c8b-a6de-4cb739df9f81 · inbound

Advances in 4D Representation: Geometry, Motion, and Interaction cites this paper.

Advances in 4D Representation: Geometry, Motion, and Interaction Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field

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