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Paper Citation Record · LEDGER

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints

As of 22 August 2026, this Paper Citation Record lists 100 of 121 outbound references and 0 inbound Pith citation observations for arXiv:2502.07140.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.07140 v1

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measured 100 of 121 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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100 of 121 outbound references displayed

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Outbound references

Observation 74a1b133-ebb9-49bb-a6ca-f160fa6181e8 · outbound

This paper cites Neural point-based graph- ics.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Neural point-based graph- ics

Reference 1

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Observation 91deb363-ede3-46dc-8283-3eb2a1fd0763 · outbound

This paper cites Detailed human avatars from monocular video.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Detailed human avatars from monocular video

Reference 2

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Observation 8f4a76a9-8b1c-41ba-a969-560591bf0faa · outbound

This paper cites Video based reconstruc- tion of 3d people models.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Video based reconstruc- tion of 3d people models

Reference 3

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Observation ff47bc6b-0c3b-470c-be52-fd20ad119506 · outbound

This paper cites Photorealistic monocular 3d reconstruction of hu- mans wearing clothing.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Photorealistic monocular 3d reconstruction of hu- mans wearing clothing

Reference 4

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Observation cecd3137-b73d-485e-ad28-fbd08772acf8 · outbound

This paper cites Neural rgb-d surface reconstruction.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Neural rgb-d surface reconstruction

Reference 5

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Observation cd2c2887-10ee-422e-a6a7-e87d20dc2c15 · outbound

This paper cites Detailed human shape and pose from images.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Detailed human shape and pose from images

Reference 6

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Observation ecbe9e4e-ebbe-4f48-82a3-6af262d04d33 · outbound

This paper cites Keep it smpl: Automatic estimation of 3d human pose and shape from a single image.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Keep it smpl: Automatic estimation of 3d human pose and shape from a single image

Reference 7

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Observation 738d7a49-a6a4-4c13-8d6d-dc96ef893f54 · outbound

This paper cites Poco: Point con- volution for surface reconstruction.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Poco: Point con- volution for surface reconstruction

Reference 8

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Observation 5e0de0af-4452-4927-857a-c5b2eb610ede · outbound

This paper cites Dy- namic surface function networks for clothed human bodies.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Dy- namic surface function networks for clothed human bodies

Reference 9

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Observation 300d77d1-0fe3-4d13-b1e8-6847345b20d5 · outbound

This paper cites Free-viewpoint video of human ac- tors.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Free-viewpoint video of human ac- tors

Reference 10

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Observation 01d1c19b-48ca-4901-b8f1-a36a5eb895a1 · outbound

This paper cites Unsuper- vised inference of signed distance functions from single sparse point clouds without learning priors.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Unsuper- vised inference of signed distance functions from single sparse point clouds without learning priors

Reference 11

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Observation 39bc6994-7cd6-485e-88c7-f3e8a5e82787 · outbound

This paper cites Animatable Neural Radiance Fields from Monocular RGB Videos.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Animatable Neural Radiance Fields from Monocular RGB Videos

Reference 12

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Observation 76daffe9-dac2-4925-8929-b69c2c622759 · outbound

This paper cites Implicit functions in feature space for 3d shape reconstruc- tion and completion.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Implicit functions in feature space for 3d shape reconstruc- tion and completion

Reference 13

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Observation 903f0529-3ece-4bc8-a0ed-5fc87710c924 · outbound

This paper cites Learning to estimate robust 3d human mesh from in-the-wild crowded scenes.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Learning to estimate robust 3d human mesh from in-the-wild crowded scenes

Reference 14

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This paper cites Monocular expres- sive body regression through body-driven attention.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Monocular expres- sive body regression through body-driven attention

Reference 15

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This paper cites High-quality streamable free- viewpoint video.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints High-quality streamable free- viewpoint video

Reference 16

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Observation 7753abae-4873-44e6-97cd-c8e878220601 · outbound

This paper cites Performance capture from sparse multi-view video.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Performance capture from sparse multi-view video

Reference 17

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Observation ae7e28e6-aafd-46a1-a84a-dd971859e70a · outbound

This paper cites Depth-supervised nerf: Fewer views and faster training for free.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Depth-supervised nerf: Fewer views and faster training for free

Reference 18

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Observation b4f4f9e2-bff9-45d9-b9e9-f87aed06729a · outbound

This paper cites Pina: Learning a personalized implicit neural avatar from a single rgb-d video sequence.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Pina: Learning a personalized implicit neural avatar from a single rgb-d video sequence

Reference 19

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Observation 2cdb65f3-a0f2-448c-9421-c5e09ac7aa06 · outbound

This paper cites Shape-aware multi-person pose estimation from multi-view images.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Shape-aware multi-person pose estimation from multi-view images

Reference 20

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Observation 9d9a69e7-6ba5-40fe-aa3b-0539a27e09ce · outbound

This paper cites Fusion4d: Real-time performance capture of challenging scenes.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Fusion4d: Real-time performance capture of challenging scenes

Reference 21

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Observation 40862707-552f-435a-b192-0859b2414ad1 · outbound

This paper cites Three- dimensional reconstruction of human interactions.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Three- dimensional reconstruction of human interactions

Reference 22

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This paper cites Motion capture using joint skeleton tracking and surface estimation.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Motion capture using joint skeleton tracking and surface estimation

Reference 23

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This paper cites Implicit Geometric Regularization for Learning Shapes.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Implicit Geometric Regularization for Learning Shapes

Reference 24

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Observation b6687fde-bd37-4ca2-9d86-41bd6140eb4a · outbound

This paper cites Holopose: Holis- tic 3d human reconstruction in-the-wild.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Holopose: Holis- tic 3d human reconstruction in-the-wild

Reference 25

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Observation f7653da2-a14e-415a-9cfb-da20a6bcdbba · outbound

This paper cites The re- lightables: V olumetric performance capture of humans with realistic relighting.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints The re- lightables: V olumetric performance capture of humans with realistic relighting

Reference 26

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This paper cites Geo-pifu: Geometry and pixel aligned implicit functions for single-view human reconstruction.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Geo-pifu: Geometry and pixel aligned implicit functions for single-view human reconstruction

Reference 27

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This paper cites Arch++: Animation-ready clothed human re- construction revisited.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Arch++: Animation-ready clothed human re- construction revisited

Reference 28

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Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Image quality metrics: Psnr vs

Reference 29

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Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Dynamic multi-person mesh recovery from uncali- brated multi-view cameras

Reference 30

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Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Neural kernel surface re- construction

Reference 31

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This paper cites Towards accurate marker-less hu- man shape and pose estimation over time.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Towards accurate marker-less hu- man shape and pose estimation over time

Reference 32

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This paper cites Deep volumetric video from very sparse multi- view performance capture.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Deep volumetric video from very sparse multi- view performance capture

Reference 33

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Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Arch: Animatable reconstruction of clothed humans

Reference 34

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Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Neural mesh-based graphics

Reference 35

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This paper cites GeoTransfer : Generalizable Few-Shot Multi-View Reconstruction via Transfer Learning.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints GeoTransfer : Generalizable Few-Shot Multi-View Reconstruction via Transfer Learning

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Observation dd8d2c7d-5ddf-46ad-bda0-338a1b25e566 · outbound

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

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Selfrecon: Self reconstruction your digital avatar from monocular video

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Observation 8ce3c1ea-4d60-499e-a533-c6ee4a4522b9 · outbound

This paper cites Coherent reconstruction of multiple humans from a single image.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Coherent reconstruction of multiple humans from a single image

Reference 38

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Observation b9d8ac46-6f58-495a-a336-0a9b6588d663 · outbound

This paper cites Panoptic studio: A massively multiview system for social motion capture.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Panoptic studio: A massively multiview system for social motion capture

Reference 39

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no resolver link, observed 2026-08-08T13:45:06.641163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:45:06.641163Z digest=sha256:d1a637e5d5ca13da7739cc3b5b0b7183f8f8048b3cc834ee7ad1c1fd6c0e33a3

Observation ed315c4d-60e2-42e2-a299-fac3956730e7 · outbound

This paper cites Panoptic studio: A massively multiview system for social interaction capture.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Panoptic studio: A massively multiview system for social interaction capture

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T13:45:06.644751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:45:06.644751Z digest=sha256:34f036ae5bb4cce322655879111c861119d4b79ec804eb4dd572568bacdb581d

Observation 6e8025ec-bca0-4a10-a604-1f967671259d · outbound

This paper cites End-to-end recovery of human shape and pose.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints End-to-end recovery of human shape and pose

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-08T13:45:06.647540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:45:06.647540Z digest=sha256:d6e5f26056f71fcbc28c2303ef3e621bd3cf969bb2a776070249a895af4ac30a

Observation 95e1f8ca-3b72-4e3f-af0e-e73b7dab8782 · outbound

This paper cites Neural lumigraph ren- dering.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Neural lumigraph ren- dering

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-08T13:45:06.651112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:45:06.651112Z digest=sha256:d884daa604ea0a0c739ec0ea634991e6dd56f80c092098e63580dc807470d486

Observation 8d9cc53e-a22a-41d6-8583-e6c3a25bc815 · outbound

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

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Infonerf: Ray entropy minimization for few-shot neural volume ren- dering

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-08T13:45:06.654598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:45:06.654598Z digest=sha256:2b02028195a609a21221843b19c9e84fb6b228ea64d47237a3acf8150d1f6fe7

Observation 4789f7cb-4c77-4770-9a26-1a4668e81cfc · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Adam: A Method for Stochastic Optimization

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-08T13:45:06.657561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:45:06.657561Z digest=sha256:f7449311a44e482c349bdf6cb36cb02c5c734925bc0678f399f0401b03bbb063

Observation f1df4c66-3226-4c52-a511-b3629566f68d · outbound

This paper cites an unresolved cited work.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-08T13:45:06.660916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:45:06.660916Z digest=sha256:c5aecc87e92fc650bf9d157eb8317cbc6843c8bc8f6f37c496d91bf9d701221c

Observation c40290b8-cb11-4a63-a981-4a49a0053a69 · outbound

This paper cites Neural human performer: Learning generalizable radiance fields for human performance rendering.Advances in Neural Information Processing Systems, 34, 2021.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Neural human performer: Learning generalizable radiance fields for human performance rendering.Advances in Neural Information Processing Systems, 34, 2021

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.743573Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.664242Z digest=sha256:51f861b70e1af7a395fa88b4ced0913466620ec7b7879dc33934d7f173eb12c5

Observation a0c7f19f-abca-43c6-9c8a-85fd83a5b53d · outbound

This paper cites Shape reconstruction using volume sweeping and learned photoconsistency.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Shape reconstruction using volume sweeping and learned photoconsistency

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.734266Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.667366Z digest=sha256:109ba3662e269aab93b02681d04d02bd5268db63e4eb2494954df3b4b25b01e6

Observation 04099f4b-88d6-48f3-b1c4-24254da76f28 · outbound

This paper cites Learn- ing generalizable light field networks from few images.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Learn- ing generalizable light field networks from few images

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.725484Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.670460Z digest=sha256:20118a4b39f9490da6f133af5ec9879d7c79d0addcfe2eb1cc404dcd0766ca46

Observation 2f63c167-14ff-4ccd-bd37-dd8cdc6c6c58 · outbound

This paper cites Regu- larizing neural radiance fields from sparse rgb-d inputs.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Regu- larizing neural radiance fields from sparse rgb-d inputs

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.715783Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.673282Z digest=sha256:eabade5607dbe881035c28b9ad533846c5eb4ead4aba7fe0e2d004fefc1ff24a

Observation 2b4e305c-e7b4-4443-a441-35d9a98b0a08 · outbound

This paper cites Shape-aware human pose and shape reconstruction using multi-view images.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Shape-aware human pose and shape reconstruction using multi-view images

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.705730Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.676167Z digest=sha256:bde078d3b6fc769e4c7a6cb45b34dd38b5fb38be883d610b5d59920b7f182668

Observation f610b6d3-5cca-4d85-b723-47a2c78a0476 · outbound

This paper cites Dynamic plane convolutional occupancy networks.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Dynamic plane convolutional occupancy networks

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.695775Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.680174Z digest=sha256:5a5997fa13ca2650369ae9fbbd4b0c701521448780cea26c770327624556fa50

Observation 9355ebe1-01e4-490a-b761-f49a7f285056 · outbound

This paper cites Neural actor: Neural free-view synthesis of human actors with pose con- trol.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Neural actor: Neural free-view synthesis of human actors with pose con- trol

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.686143Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.683080Z digest=sha256:d47caa5270f59b0baa404843d9ab583c81bf418562f4b5502cdfbd3d8512b330

Observation 028c4df0-fff4-4cd0-94ce-e76ba4dc264b · outbound

This paper cites Recent advances of monocular 2d and 3d human pose estimation: A deep learning perspective.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Recent advances of monocular 2d and 3d human pose estimation: A deep learning perspective

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.675686Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.686560Z digest=sha256:46218739e44c14264d0eae7c0d111ddd0ecb78b0ebcca968a6046ffafb8d145c

Observation 5e39a56d-6791-420d-a27a-e166132daca0 · outbound

This paper cites Markerless motion capture of multiple characters using multiview image seg- mentation.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Markerless motion capture of multiple characters using multiview image seg- mentation

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.666018Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.689464Z digest=sha256:215f015f380355bbc7cf2f25b82bee86fa7e46ef99e2fc98d8806079e38a7031

Observation 3790aab9-0a59-4248-81d9-a3658909c073 · outbound

This paper cites Markerless motion capture of in- teracting characters using multi-view image segmentation.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Markerless motion capture of in- teracting characters using multi-view image segmentation

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.656103Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.692829Z digest=sha256:b992063dcc6e0550913c91e76b5d68d8ca3f913e3e28521045cd3b3786b92916

Observation f80280b0-7434-404b-b9a8-593621442c3c · outbound

This paper cites SparseNeuS: Fast generalizable neural sur- face reconstruction from sparse views.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints SparseNeuS: Fast generalizable neural sur- face reconstruction from sparse views

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.646474Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.695659Z digest=sha256:847d2a367ae5cf2c8a8416c4ae8a7b5a934837b90aeeb6f07d937458fdf5a85d

Observation c8e0f005-c48e-4bb1-aafa-512b204e101c · outbound

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

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Smpl: A skinned multi-person linear model

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.636773Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.698535Z digest=sha256:faed7247865367373ac681a20c0ce651ef9fbdb5fe720e7c506784cb8389eae3

Observation 7214ce3f-067d-47e8-8e9c-20594d6769dd · outbound

This paper cites Nerf in the wild: Neural radiance fields for uncon- strained photo collections.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Nerf in the wild: Neural radiance fields for uncon- strained photo collections

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.626010Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.701843Z digest=sha256:00a40983cc240bb25ec027437991f8baa141f136a1328a404736f5c41e2c8432

Observation 19ffdf49-9c81-4ff5-abcf-1ba473fbf1b8 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.616018Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.705336Z digest=sha256:590fcb26466f731cffb93b4747dad223116a4e9e00686d018d7978278044d072

Observation 499e2069-de65-4302-81b3-19e14ab00b2b · outbound

This paper cites On self-contact and human pose.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints On self-contact and human pose

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.606090Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.708417Z digest=sha256:f746eb0f22b2b0b0d8e21c25e301898a5a7dc5f391e713b724d4dc9011ef84d4

Observation 57414707-b007-418c-9d87-e6b6b6b966aa · outbound

This paper cites Multi-person implicit reconstruction from a single image.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Multi-person implicit reconstruction from a single image

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.595244Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.711959Z digest=sha256:0f8bfe2fe3d5659b0f4c3cd604d093e8bf2dbfdbfe45955392a55b73f69b5172

Observation 206192ce-2008-4d8c-bb0e-79b98e984144 · outbound

This paper cites Regnerf: Regularizing neural radiance fields for view syn- thesis from sparse inputs.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Regnerf: Regularizing neural radiance fields for view syn- thesis from sparse inputs

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.585865Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.714924Z digest=sha256:56f62dbdb737a0bb072c5fbf4159b6f9a20495a05fdc81d7185655df3b083ec6

Observation 8cd5a34d-34cf-41bb-ab0b-0e87fc3abb04 · outbound

This paper cites Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervi- sion.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervi- sion

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.576822Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.717908Z digest=sha256:594fa7b25de706df97f96d4b7a5c9e0cf83861d5f98b9cd4886deef9df722f33

Observation 94067686-3172-4ced-827b-8c514b920154 · outbound

This paper cites Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.567590Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.720857Z digest=sha256:7514a39632a85e4b3d3ce1558dea240f33a9838c60712913028bb4c976622d83

Observation 03362d14-b85b-43d8-967b-aa214458cef4 · outbound

This paper cites Few’zero level set’-shot learning of shape signed distance functions in fea- ture space.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Few’zero level set’-shot learning of shape signed distance functions in fea- ture space

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.558247Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.723689Z digest=sha256:cda79364d60786b634a96e705cf1437c40b5f030f5632c3f68f1a2f91569480a

Observation 086014ed-fc84-4638-b468-1076d48f881a · outbound

This paper cites Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries

Reference 66

Resolution
verified exact
local_arxiv, observed 2026-08-08T13:45:06.966410Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.726577Z digest=sha256:590d1d47ddb25002dd0a8d54cc363fbc0c42f5a66ac970a0ca43b071e55c34b3

Observation baa9b615-644d-4e21-8758-e70b3877a6c4 · outbound

This paper cites Mixing-denoising generalizable occupancy networks.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Mixing-denoising generalizable occupancy networks

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.548443Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.730297Z digest=sha256:a384a42b0ef24d3b159a72e5d3d003f0bf0bd450203219aa4f71abc500972cda

Observation 4d0119ac-e1f5-4eb9-b89b-47c595814227 · outbound

This paper cites Robustifying gen- eralizable implicit shape networks with a tunable non- parametric model.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Robustifying gen- eralizable implicit shape networks with a tunable non- parametric model

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.538755Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.733307Z digest=sha256:eeeb507ba61dbf33bd3789d02ac85ab48b68859aa65932ebd0a6b77f07d1659b

Observation cbcb2277-c6ac-46ab-97a5-084dba637ca5 · outbound

This paper cites Unsupervised oc- cupancy learning from sparse point cloud.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Unsupervised oc- cupancy learning from sparse point cloud

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.528564Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.737011Z digest=sha256:f5630cb522ee36f198ca8c4705352bf1e8980f6bae3bfab4f7f8aac83fb3ecc2

Observation 1a4f4bb6-e3f5-49a5-905d-2d92b86522de · outbound

This paper cites Toward robust neural reconstruction from sparse point sets, 2024.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Toward robust neural reconstruction from sparse point sets, 2024

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.518208Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.740247Z digest=sha256:05a72f38b80ead78e540e7f0ff840ab95de08529baad06a7acb03826c85ef310

Observation 7a864f8e-5959-48fd-b846-f0fdb6d66043 · outbound

This paper cites Deepsdf: Learning continuous signed distance functions for shape representa- tion.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Deepsdf: Learning continuous signed distance functions for shape representa- tion

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.508076Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.743419Z digest=sha256:a60d1ce2804a195b7ea267637f40ffd834e18b3c83337baaa42f6f693df84fe4

Observation 1e96beff-950b-4eb2-8a11-e7fe6c4c4046 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Pytorch: An imperative style, high-performance deep learning library

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.497875Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.746714Z digest=sha256:3e91040cf3ab01bff38c071a1eb9c0d8fbf34cbb37d3e5d8bb70f031c2b52cc0

Observation cbff0992-fa96-418a-ba69-043c6b1c5c8b · outbound

This paper cites An- imatable neural radiance fields for modeling dynamic hu- man bodies.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints An- imatable neural radiance fields for modeling dynamic hu- man bodies

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.487325Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.749697Z digest=sha256:5e9770ff75fdde8f20469c10529641bcdc167a8964c0231036ed99e23509b725

Observation 19f0c2f4-b02f-4f18-962d-19dea8b14dae · outbound

This paper cites Shape as points: A differentiable poisson solver.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Shape as points: A differentiable poisson solver

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.477048Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.752526Z digest=sha256:68dd7adc33e910f188efda6ad5e0cbf478aea037308535b03fff87e568b04b35

Observation ac68e070-1d18-4228-94c4-3c533ca0b5c4 · outbound

This paper cites Convolutional occupancy networks.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Convolutional occupancy networks

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.466821Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.755517Z digest=sha256:b21450a9a74c8c6b18484b7a7cba83495a172098df5f4f1e7a25b3bf97d91600

Observation 6808d697-5df2-470c-afc5-5aa802f297b8 · outbound

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

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.456240Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.758328Z digest=sha256:89ce1989ded1e28566d2af4cb80494194fe204b5defe0fa5936c9c0213e503c3

Observation 52327146-2d3b-4d42-ac7f-72178beb6c35 · outbound

This paper cites Dense depth priors for neural radiance fields from sparse input views.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Dense depth priors for neural radiance fields from sparse input views

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.443357Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.761240Z digest=sha256:8c3d524b386dd495cf7452456811366d99eb0081110ff334c77dde0336338864

Observation 3f7bf7b5-5b02-49a9-b68c-f2e57c734c2c · outbound

This paper cites Pifu: Pixel-aligned implicit function for high-resolution clothed human digiti- zation.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Pifu: Pixel-aligned implicit function for high-resolution clothed human digiti- zation

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.433416Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.764040Z digest=sha256:0f7c7f969b73d38a84c161d788ed6aee4801486d8b62e3ea8add6fddc44e7565

Observation f623ed77-b706-4de3-9e97-ade85ed12fc8 · outbound

This paper cites Pifuhd: Multi-level pixel-aligned implicit function for high-resolution 3d human digitization.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Pifuhd: Multi-level pixel-aligned implicit function for high-resolution 3d human digitization

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.423434Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.766744Z digest=sha256:d3b5a52ad2315f7a2b4cdb8eb38df7f9c3469cd4060b65f7c827e7e55b0830b6

Observation 6df871e8-2568-4252-9954-5a77d4661e5c · outbound

This paper cites Novel view synthe- sis of human interactions from sparse multi-view videos.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Novel view synthe- sis of human interactions from sparse multi-view videos

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.413169Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.769448Z digest=sha256:eec1873f91c349bfc9b7dda6eb3d3e178ebb32f29cc734ab84d6d9c5885d450d

Observation f3f69742-e0eb-4c4b-86d3-83c89886f8ca · outbound

This paper cites Hand key- point detection in single images using multiview bootstrap- ping.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Hand key- point detection in single images using multiview bootstrap- ping

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.402707Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.772156Z digest=sha256:e9ca3bcab2f40a404c7bf4015346403fbfcde2dd049dbcc5b21be1ec10e54e8b

Observation d88cc041-b854-4562-854c-80a518a6b754 · outbound

This paper cites Surface capture for performance-based animation.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Surface capture for performance-based animation

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-08T13:45:06.774800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:45:06.774800Z digest=sha256:560c7c3c463bf2ad7bcf853544c66f9df47ac6ab1314c1e017f89e4fcc08c359

Observation 2501f410-17a4-4180-9b9a-7e556246f6b6 · outbound

This paper cites Monocular, one-stage, regression of mul- tiple 3d people.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Monocular, one-stage, regression of mul- tiple 3d people

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.386105Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.777952Z digest=sha256:e172a7aaa563a39afab61e8130f2abe88f6bbee3d806d4d6620d81080c91c36c

Observation 4a13fa53-55a2-48c4-adec-91395b2a3765 · outbound

This paper cites Putting people in their place: Monocular regression of 3d people in depth.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Putting people in their place: Monocular regression of 3d people in depth

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.376103Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.780695Z digest=sha256:53120e3a7ba01a976d0637c90589d2e3228cbf65a1dc9a120d471142192a60d8

Observation 6a109f41-1610-443f-ad19-7d084f1d5568 · outbound

This paper cites Fourier fea- tures let networks learn high frequency functions in low di- mensional domains.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Fourier fea- tures let networks learn high frequency functions in low di- mensional domains

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.366137Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.783445Z digest=sha256:c9ac8493ec0bcd014caa5dd6308dddbd8a0e4f172f9df7c1be54a423af61b3cf

Observation 633fcefd-7ef0-45e2-b564-0a5abc0c8148 · outbound

This paper cites De- ferred neural rendering: Image synthesis using neural tex- tures.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints De- ferred neural rendering: Image synthesis using neural tex- tures

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.355426Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.786193Z digest=sha256:2662559b199411af7cb68262e8c63ddf4df4558b64df4b59f287dec97fa8188e

Observation 136a8faa-ceff-47ef-845d-b70f0f4be76e · outbound

This paper cites Body size and depth disambiguation in multi-person reconstruction from single images.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Body size and depth disambiguation in multi-person reconstruction from single images

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.345241Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.788919Z digest=sha256:b66fe56cf036d09963fef589527b2ab5202bacc48aedfc930177773d5ba200ea

Observation eeee992b-9e12-4193-9f66-962b7c9b3d8b · outbound

This paper cites Articulated mesh animation from multi-view sil- houettes.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Articulated mesh animation from multi-view sil- houettes

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.334599Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.792545Z digest=sha256:eb3a25575e16b8cc4c95df61ed9494d31234b64e0a10d40a7983bdfec21b45fa

Observation fd4ae405-babc-490d-a005-a06140ce0f52 · outbound

This paper cites Dynamic shape capture using multi-view photometric stereo.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Dynamic shape capture using multi-view photometric stereo

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.323786Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.796463Z digest=sha256:80eea3aab069b10c54598f501e508f9973b541433f7513efd73bba74ce7611e3

Observation b627d49b-4f0a-41af-814c-6f8b4a629784 · outbound

This paper cites NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-08T13:45:06.800222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:45:06.800222Z digest=sha256:7ad10cbe4ab1c729a3f4ace8d142f000996f323cc5d5c8fe1f12fc257003fd1b

Observation 097d8f24-5add-4e66-a706-4baa1af398bf · outbound

This paper cites Arah: Animatable volume rendering of articulated human sdfs.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Arah: Animatable volume rendering of articulated human sdfs

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.313901Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.804778Z digest=sha256:00f877d360664162792399fae7277ebb73291cd66e13af0966c5d9b0393459c6

Observation 92cf72a1-7d35-4ed6-becc-1dc9c36f8d42 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Image quality assessment: from error visibility to structural similarity

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.303212Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.808695Z digest=sha256:451384bd567e9d3e3e33379a286ebc7f5948055455a8646c49b829d83812527b

Observation 86ef6533-db72-4e4b-82b4-a3191b8858c3 · outbound

This paper cites Hu- mannerf: Free-viewpoint rendering of moving people from monocular video.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Hu- mannerf: Free-viewpoint rendering of moving people from monocular video

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.293326Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.812494Z digest=sha256:f8ba515e5e50f5b623e961df01c687d4c7b525cc357ec15d69dda69c6f43cd64

Observation 80e6373a-1b70-45d6-a1cd-2c645aade2f8 · outbound

This paper cites Neural fields as learnable kernels for 3d reconstruction.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Neural fields as learnable kernels for 3d reconstruction

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.284155Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.816370Z digest=sha256:e942af0b62100538d2fa4f08a7d1f278fd763a536495c626bf254e6b7fd423fb

Observation 57c285f1-14d2-4949-b6ae-3a2598a3dbf6 · outbound

This paper cites Neural splines: Fitting 3d surfaces with infinitely- wide neural networks.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Neural splines: Fitting 3d surfaces with infinitely- wide neural networks

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.275070Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.820155Z digest=sha256:627270acd12f902facd3555b37675558387b15f6b0c3f49abda2026ff3b48c03

Observation a625e3c0-ce69-460c-b46d-527e2c68c103 · outbound

This paper cites On-set performance capture of multiple actors with a stereo camera.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints On-set performance capture of multiple actors with a stereo camera

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.266301Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.823848Z digest=sha256:3b35017aa407f1d25d5180bf64347d1d0d9a8691be8ceb8fe2ea4dc16796c8b9

Observation 5eae8b32-489e-467f-ba4b-960a1466cb13 · outbound

This paper cites Full body performance capture under uncontrolled and vary- ing illumination: A shading-based approach.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Full body performance capture under uncontrolled and vary- ing illumination: A shading-based approach

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.257048Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.827742Z digest=sha256:0538fe7f45dc8c50e33fcf1b0af95e9384e3b51103083a4086d30cd27e7b608e

Observation 5a12fb29-4a42-4b21-bdb4-19998e42a9f8 · outbound

This paper cites Multi- view neural human rendering.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints Multi- view neural human rendering

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.247460Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.831667Z digest=sha256:9a53db0ad7b8246c78b37c1dd87efbb51ac877824b01a84146187110c8170baf

Observation aba670a1-47ab-4e7a-b669-bb4e017370a6 · outbound

This paper cites H-nerf: Neural radiance fields for rendering and temporal reconstruction of humans in motion.Advances in Neural In- formation Processing Systems, 34:14955–14966, 2021.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints H-nerf: Neural radiance fields for rendering and temporal reconstruction of humans in motion.Advances in Neural In- formation Processing Systems, 34:14955–14966, 2021

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.237943Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.835879Z digest=sha256:8d9e8dd8427f29fe3e6c3b2ab82185b1147d35b6086dabb39835ed0e7ecd4fb6

Observation 3d46387c-b43b-4d17-8ecd-54b945555cfb · outbound

This paper cites V olume rendering of neural implicit surfaces.

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints V olume rendering of neural implicit surfaces

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:45:07.227598Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T13:45:06.839661Z digest=sha256:3b5822c7990981c928b665fc77929781b985f152896c31acdad8edf1c6d814da

Pith citing papers

No inbound Pith citation observations are available.