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Paper Citation Record · LEDGER

Few-Shot Multi-Human Neural Rendering Using Geometry Constraints

As of 11 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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External citation measurements

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

Reference 36

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

Reference 37

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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:dd557d2dd9617b782c92d02ddb673c67cd1c07de8afbce46e0ad9b50b153f290

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:b2708e438497af65a18e764026e5a6e169a2f4a3ee2169df850813812ac29745

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:ab3d24942fb2ebea67794933154ee26fc8c8747f883643ab0e7d76aa078ab86f

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:c76c9b68079697a55d6be36a7aa2777380e595aa244dcc1e034b03dc1f0e13d7

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=sha256:8d6769971e0492efe915d8709750411698b15ff81ae72ec44e3e9a574e6d985d

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:faf240aea1879def8a27167f8d85c46333198b75cf64b693ea4b77ec477dbfef

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=sha256:87b27a4ed7c31dc893c9838e597a21ef2c823d119550ce90334ddd4a98c43034

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.664242Z digest=sha256:bb66bf814cef77ba691bfb9da28dd2e950b2c191aa0504d82f8a48e03258a393

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.667366Z digest=sha256:ea26ea8ec54a29db576fbe85a794e66ed24c2918775d6b68adcf9e91e3726a85

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.670460Z digest=sha256:86b27ec6dc2bf39f997ad6c5c5a78cebe20b8e9f22f000e0517217fd506d79d7

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.673282Z digest=sha256:f5f4744adbe2f82d1724ffa570700beaa5ae935923b75fdb2b490a1dcd6d02f0

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.676167Z digest=sha256:7823203e5f456f5880eb4b6587755ce1ac99347e7093122e0eea2819679cb620

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.680174Z digest=sha256:2ed614e97ade4ed7beacc73259af40116cbc08cd9c235300bab132ef3afde2ce

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.683080Z digest=sha256:a7d64412083c411c64672c4d773136bbf658fe1cb0dbada37a6e4328936805b9

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.686560Z digest=sha256:e66b70f4124743f32a47795fef059059ab556d622f8116270fe9c3fce225c93a

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.689464Z digest=sha256:3989bb151245f330bbc13425b622b979f298ca542ffd652814d7e495e5798b40

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.692829Z digest=sha256:e7daa159116f3adc6b77e27fcf830f684681eec0456966ce3008f549f97f0d52

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.695659Z digest=sha256:a0f28cf4b8af29c53c72e8d0f8dc94a8446582c630a6f83dc449cda128a4bfef

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.698535Z digest=sha256:aafd121f5276434efa7a2f96efe8f39fb9e62b8ee1a91e056959c36bb1b9c866

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.701843Z digest=sha256:8f905dd7d972266f1c9000d2cc885c3f39a8701dd6e219d3fd7cc10bf81508c8

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.705336Z digest=sha256:b460858c57dee5bb371fd14119caf605a9fa5e946493427bce28adbe23f308e7

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.708417Z digest=sha256:0b6c305efa7b6c482aa7d45b6ac0a27cba15fb239a440e6a029d1390a055d0bb

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.711959Z digest=sha256:e3125501111f12236ddc67b6c725c4b2e8e6718b060f1fca45531062cadba759

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.714924Z digest=sha256:2c37aaf4e3a6a77b3a13a20fb7a3d541c7d4d6a7b9001d1dbf32c168c90f97da

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.717908Z digest=sha256:cfb048d5c109dc862cb36024e96e24b2af488373d1eb515eeccf2028e80af059

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.720857Z digest=sha256:ce7d78f87c3eb501734cd4a139468ab339002f4b43039804c2c9939ad4623766

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.723689Z digest=sha256:841b5f770820d2d10b4f77179bbb48dec71fb45355f47026472845c80c143ba4

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.726577Z digest=sha256:b93f4ed9345b9f664d35a3a23cbda120f4b30e1cf07ff584e07268a7136bc84d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.730297Z digest=sha256:0d1fd9ca3c7af497a6b24ac086cfbbd122abb538ecea8eb897a3d56b098d3b60

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.733307Z digest=sha256:6dd7c6487a9b4a6d186b6221d3bf0d503da9b0f3f35c3df18167f80c51a1616e

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.737011Z digest=sha256:1ab1576d761ef1a7cc1c6b4eab31ab5ef8861025d52ecfb8d5796885715c0733

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.740247Z digest=sha256:71ca1106704f8508537b9e7ad6ea160d43e4077b870628d24767ca949aeec7f3

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.743419Z digest=sha256:c83008958a8a78ee84e0f124ac63aff86beb3cd2f82479da29f99d29105c70d9

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.746714Z digest=sha256:e83536922a2b550dc2415676d78d5814f1182f8ba6d9482198a70a61f3a880b1

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.749697Z digest=sha256:063f14a194d4318f0f7799a4455504978e7e488746d686a18ca5ffa2153b8f08

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.752526Z digest=sha256:b506eddba3dda3689e109aa11948913acae4b68afdbb017d5ffecb6f86728c0d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.755517Z digest=sha256:e9627a471b12dc2d7ac3aa195d05d80b789e3d402766ef5c92e7bba9caedb9b2

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.758328Z digest=sha256:a210672a58d2746b34ab46cc6f3ab54428bbe6d2aaa9ef00e8107458d340aadb

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.761240Z digest=sha256:2e4ab3409fc8a0c65d16c277c39f53aeabb4e77cac77b7dbe39abc1c35eee152

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.764040Z digest=sha256:310ab762071f4e09742f070bfb7c655dfc6898efd5295de81cd2e83c28e93dc5

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.766744Z digest=sha256:a4510aa5a83d3abfc8e5f2f5e942d92244c57c0e72935830b0fcda924bf691ee

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.769448Z digest=sha256:c5510dcbf8334bc2e119875f0afd6b54c69020f928555d5089629fa823a8a01c

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.772156Z digest=sha256:8c8fdc314721530e2b6ffac60d617780e0dcb36e3d3588ce71d7b1898def16e7

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:f352992bc4b7c8c8e2286fa977818135f8a94b10028fc455b3735c01bacfc09f

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.777952Z digest=sha256:56e2254c8c570b9cae753f07bd63e5cc21d2d59639ac2f513b6351f0e34bbc8a

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.780695Z digest=sha256:64bd1dd9e8fc07c863840a56b500b781f4f2cee7730c2e06bb000622287c7d7e

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.783445Z digest=sha256:b043c247f27f60deff34860c14da8600aeebf8b03a861e3bbf6be69a56051da7

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.786193Z digest=sha256:69a6317c61aa2c78b487febef2d2be07152559ae6de076518aea27336cff6281

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.788919Z digest=sha256:59ca39c033484ad10d7c5333231fe2dccc38562fdf886679573aed5d4d00f6dc

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.792545Z digest=sha256:686659d622783a382bf26868a95cb68aef23da7232db05a76b5febb85e707216

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.796463Z digest=sha256:d4f99a820fa4f1563d526e124287ccd7ba0f175f320c060fce61dae70eda989b

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:a3ad04fa8405eaba8b1efab0ff985f3c0034c4037f8ddf09f4eb5bd262738cbe

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.804778Z digest=sha256:8b63e01d5eede5909dcbf197465c93e208bf445baba39830e789f3febbc567d0

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.808695Z digest=sha256:d4fecf53802ed64e72668736e5ef65a1b15b3d7f831319ae97fda79b9ac621ca

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.812494Z digest=sha256:9ee77554cc881573b05a0e5002e5f77161bf3079e68a2f9a80fb87c4ffe91839

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.816370Z digest=sha256:1fda4c86a284bc32045a5d9b382bd9db32f932dd721e9d16fe30121f04644d1b

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.820155Z digest=sha256:f3d7afa95424fbdaec96d2efafe01096694440b2671aa83250aca8d96114d57e

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.823848Z digest=sha256:1279822b244589e397a6ce9182ccbf7ecef7b1416cf1818a2d84d981eb79a00c

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.827742Z digest=sha256:0c68ef2e457cb4d28d89e868d04b0b0198526732a29f07e01f4cf55ab8e3fc31

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.831667Z digest=sha256:7d29ef793b3c2d5427979466c3fc1b1ff2db021b92c25cc61a2bec0bd9e3e20b

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.835879Z digest=sha256:3dee5113c2dbcfebeb605310c3f3edd2d80263671502cf58b265afbea5795798

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-08T13:45:06.839661Z digest=sha256:e70100de9ad68e15a3ce15a8cd1f380738a8acde7d0d7ca70f64b09a1d6e86ef

Pith citing papers

No inbound Pith citation observations are available.