Few-shot Implicit Function Generation via Equivariance | Paper Citation Record

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This paper cites Data Augmentation Generative Adversarial Networks.

Few-shot Implicit Function Generation via Equivariance Data Augmentation Generative Adversarial Networks

Reference 1

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This paper cites Nern: Learning neural representations for neural networks.

Few-shot Implicit Function Generation via Equivariance Nern: Learning neural representations for neural networks

Reference 2

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Observation c92f4e1a-bfa5-49c8-87cf-473c6753e4ea · outbound

This paper cites Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields.

Few-shot Implicit Function Generation via Equivariance Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields

Reference 3

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Observation e55bffb6-ab12-46e2-a2af-0ed6d9923027 · outbound

This paper cites Dynamic programming.

Few-shot Implicit Function Generation via Equivariance Dynamic programming

Reference 4

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Observation 99777b00-65c2-4cc4-974b-c892cfac1c9b · outbound

This paper cites Deep local shapes: Learning local sdf priors for detailed 3d reconstruction.

Few-shot Implicit Function Generation via Equivariance Deep local shapes: Learning local sdf priors for detailed 3d reconstruction

Reference 5

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Observation 97fc42c6-a1a5-4a63-a607-4568af8bc73f · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Few-shot Implicit Function Generation via Equivariance ShapeNet: An Information-Rich 3D Model Repository

Reference 6

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Observation 83dea53f-d43f-4f3d-bba2-a2534655e439 · outbound

This paper cites A simple framework for contrastive learn- ing of visual representations.

Few-shot Implicit Function Generation via Equivariance A simple framework for contrastive learn- ing of visual representations

Reference 7

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Observation 51a6fc82-1f72-4ebe-9b04-da5a96aed2b5 · outbound

This paper cites Learning con- tinuous image representation with local implicit image func- tion.

Few-shot Implicit Function Generation via Equivariance Learning con- tinuous image representation with local implicit image func- tion

Reference 8

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Observation e6c03baa-6659-480a-a8d6-77b3f877d23d · outbound

This paper cites Learning implicit fields for generative shape modeling.

Few-shot Implicit Function Generation via Equivariance Learning implicit fields for generative shape modeling

Reference 9

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Observation dae21d03-548b-4d89-925b-ae70d995898d · outbound

This paper cites Neurbf: A neural fields rep- resentation with adaptive radial basis functions.

Few-shot Implicit Function Generation via Equivariance Neurbf: A neural fields rep- resentation with adaptive radial basis functions

Reference 10

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Observation b218b1f2-32a2-4cd3-a5c2-0bf18ec17be7 · outbound

This paper cites FIGR: Few-shot Image Generation with Reptile.

Few-shot Implicit Function Generation via Equivariance FIGR: Few-shot Image Generation with Reptile

Reference 11

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Observation 52525746-cb65-4aa6-88a8-5498e6c28a21 · outbound

This paper cites Spherical cnns.

Few-shot Implicit Function Generation via Equivariance Spherical cnns

Reference 12

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Observation 8d5be9a6-4378-49da-82c0-458b64489414 · outbound

This paper cites Deep learning on implicit neural representations of shapes.

Few-shot Implicit Function Generation via Equivariance Deep learning on implicit neural representations of shapes

Reference 13

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Observation 79a49b4c-26c7-4de7-bc6f-a73da3fac8f8 · outbound

This paper cites Wedit- gan: Few-shot image generation via latent space relocation.

Few-shot Implicit Function Generation via Equivariance Wedit- gan: Few-shot image generation via latent space relocation

Reference 14

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Observation 14e2d17d-57f8-4d76-8d92-0556a1fe4405 · outbound

This paper cites From data to functa: Your data point is a function and you can treat it like one.

Few-shot Implicit Function Generation via Equivariance From data to functa: Your data point is a function and you can treat it like one

Reference 15

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Observation cf94f174-a15d-46fa-b392-43e499a2d6ca · outbound

This paper cites Hyperdiffusion: Generating implicit neural fields with weight-space diffusion.

Few-shot Implicit Function Generation via Equivariance Hyperdiffusion: Generating implicit neural fields with weight-space diffusion

Reference 16

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Observation 59648722-e171-4dfa-a190-0378af2ae055 · outbound

This paper cites Learning so (3) equivariant repre- sentations with spherical cnns.

Few-shot Implicit Function Generation via Equivariance Learning so (3) equivariant repre- sentations with spherical cnns

Reference 17

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Observation e6d65ece-924b-43fd-aa0b-9b9f8dd2b52d · outbound

This paper cites Depgraph: Towards any structural pruning.

Few-shot Implicit Function Generation via Equivariance Depgraph: Towards any structural pruning

Reference 18

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Observation 488f1dbb-7339-4ae5-a2c2-f7b00d153913 · outbound

This paper cites Model- agnostic meta-learning for fast adaptation of deep networks.

Few-shot Implicit Function Generation via Equivariance Model- agnostic meta-learning for fast adaptation of deep networks

Reference 19

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Observation 633e7c02-9f3c-40bf-bd00-018924f5ff79 · outbound

This paper cites Learning shape templates with structured implicit functions.

Few-shot Implicit Function Generation via Equivariance Learning shape templates with structured implicit functions

Reference 20

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Observation 1a1b9972-3c1c-4af0-a4b9-55acb5c1b1ef · outbound

This paper cites HyperNetworks.

Few-shot Implicit Function Generation via Equivariance HyperNetworks

Reference 21

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This paper cites Deep models of interactions across sets.

Few-shot Implicit Function Generation via Equivariance Deep models of interactions across sets

Reference 22

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Observation 29effea6-2a83-40b9-82f3-d8135ceafb5f · outbound

This paper cites Computers and intractability: a guide to the theory of np-completeness (michael r.

Few-shot Implicit Function Generation via Equivariance Computers and intractability: a guide to the theory of np-completeness (michael r

Reference 23

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Observation afce0555-aff5-402f-9ed7-06e7a139365e · outbound

This paper cites Learning useful representations of recurrent neural network weight matrices.

Few-shot Implicit Function Generation via Equivariance Learning useful representations of recurrent neural network weight matrices

Reference 24

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Observation f7d7ee5b-d181-4e23-966e-d1dc4a6f1e32 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

Few-shot Implicit Function Generation via Equivariance Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 25

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Observation d0b3c4ee-6e57-4d2c-9cc3-258ac87f865c · outbound

This paper cites Anomalyd- iffusion: Few-shot anomaly image generation with diffusion model.

Few-shot Implicit Function Generation via Equivariance Anomalyd- iffusion: Few-shot anomaly image generation with diffusion model

Reference 26

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Observation f2f99ff6-2ddf-4ccb-a1a2-d1508bf4069e · outbound

This paper cites Highly accurate protein structure prediction with alphafold.

Few-shot Implicit Function Generation via Equivariance Highly accurate protein structure prediction with alphafold

Reference 27

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Observation 6798151d-8cdb-4e04-a24f-d57c5cda3153 · outbound

This paper cites Parameter prediction for unseen deep architectures.

Few-shot Implicit Function Generation via Equivariance Parameter prediction for unseen deep architectures

Reference 28

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Observation 3b2f8fe7-fde0-460e-a320-e0e1188a542d · outbound

This paper cites On the generalization of equivariance and convolution in neural networks to the ac- tion of compact groups.

Few-shot Implicit Function Generation via Equivariance On the generalization of equivariance and convolution in neural networks to the ac- tion of compact groups

Reference 29

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Observation 1469e61f-f3f5-4267-ae8a-a369de32fc37 · outbound

This paper cites Learning multiple layers of features from tiny images.

Few-shot Implicit Function Generation via Equivariance Learning multiple layers of features from tiny images

Reference 30

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This paper cites Gradient-based learning applied to document recog- nition.

Few-shot Implicit Function Generation via Equivariance Gradient-based learning applied to document recog- nition

Reference 31

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

Few-shot Implicit Function Generation via Equivariance Dynibar: Neural dynamic image-based rendering

Reference 32

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This paper cites DAWSON: A Domain Adaptive Few Shot Generation Framework.

Few-shot Implicit Function Generation via Equivariance DAWSON: A Domain Adaptive Few Shot Generation Framework

Reference 33

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Observation 14d66f31-6444-4010-8578-0b40a29f9621 · outbound

This paper cites Dist: Rendering deep implicit signed distance function with differentiable sphere tracing.

Few-shot Implicit Function Generation via Equivariance Dist: Rendering deep implicit signed distance function with differentiable sphere tracing

Reference 34

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Observation 9f116f17-3ae8-4e86-8d5a-5d0f0f2a4d5b · outbound

This paper cites Marching cubes: A high resolution 3d surface construction algorithm.

Few-shot Implicit Function Generation via Equivariance Marching cubes: A high resolution 3d surface construction algorithm

Reference 35

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Observation 72923d51-5105-4dc8-9aa6-430828f54bc8 · outbound

This paper cites Diffusion probabilistic models for 3d point cloud generation.

Few-shot Implicit Function Generation via Equivariance Diffusion probabilistic models for 3d point cloud generation

Reference 36

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Observation e721f735-1aba-4923-a0ca-f904f156dd36 · outbound

This paper cites Deformable neural radiance fields using rgb and event cameras.

Few-shot Implicit Function Generation via Equivariance Deformable neural radiance fields using rgb and event cameras

Reference 37

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Observation 0426f04a-7678-401b-b77c-513e2c5f6f99 · outbound

This paper cites Continuous pose for monocular cameras in neural implicit representation.

Few-shot Implicit Function Generation via Equivariance Continuous pose for monocular cameras in neural implicit representation

Reference 38

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Observation 5ca76dc7-6bbd-410b-9e3b-d5ed3111410c · outbound

This paper cites Implicit-zoo: A large-scale dataset of neural im- plicit functions for 2d images and 3d scenes.

Few-shot Implicit Function Generation via Equivariance Implicit-zoo: A large-scale dataset of neural im- plicit functions for 2d images and 3d scenes

Reference 39

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Observation 3897fe0e-45c1-4bff-a9ab-635b3cb1b490 · outbound

This paper cites Invariant and equivariant graph networks.

Few-shot Implicit Function Generation via Equivariance Invariant and equivariant graph networks

Reference 40

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Observation c17f246a-bb51-4ebf-be58-d6f772643a7b · outbound

This paper cites Single-subject multi-contrast mri super-resolution via implicit neural representations.

Few-shot Implicit Function Generation via Equivariance Single-subject multi-contrast mri super-resolution via implicit neural representations

Reference 41

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Observation bf715cff-135c-43ea-a492-59dc9f4f492a · outbound

This paper cites Occupancy networks: Learning 3d reconstruction in function space.

Few-shot Implicit Function Generation via Equivariance Occupancy networks: Learning 3d reconstruction in function space

Reference 42

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Observation 217e7b99-0ec9-4145-9015-f1b38ffe664b · outbound

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

Few-shot Implicit Function Generation via Equivariance Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 43

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Observation 04b984f1-4388-429f-9739-57f88c57a8bc · outbound

This paper cites Instant neural graphics primitives with a mul- tiresolution hash encoding.

Few-shot Implicit Function Generation via Equivariance Instant neural graphics primitives with a mul- tiresolution hash encoding

Reference 44

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Observation d1a765c7-6521-4fab-a9e0-dd4b4e2cbcf7 · outbound

This paper cites Equivariant architectures for learning in deep weight spaces.

Few-shot Implicit Function Generation via Equivariance Equivariant architectures for learning in deep weight spaces

Reference 45

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Observation db7109b9-0b87-4fbf-911f-99bcdb428b43 · outbound

This paper cites Improved denoising diffusion probabilistic models.

Few-shot Implicit Function Generation via Equivariance Improved denoising diffusion probabilistic models

Reference 46

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This paper cites Image generation from small datasets via batch statistics adaptation.

Few-shot Implicit Function Generation via Equivariance Image generation from small datasets via batch statistics adaptation

Reference 47

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This paper cites Deepsdf: Learning con- tinuous signed distance functions for shape representation.

Few-shot Implicit Function Generation via Equivariance Deepsdf: Learning con- tinuous signed distance functions for shape representation

Reference 48

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This paper cites Learning to Learn with Generative Models of Neural Network Checkpoints.

Few-shot Implicit Function Generation via Equivariance Learning to Learn with Generative Models of Neural Network Checkpoints

Reference 49

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This paper cites Learn- ing transferable visual models from natural language super- vision.

Few-shot Implicit Function Generation via Equivariance Learn- ing transferable visual models from natural language super- vision

Reference 50

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Observation d3a12aef-2f04-4222-9dda-32eed08c191c · outbound

This paper cites On the spectral bias of neural networks.

Few-shot Implicit Function Generation via Equivariance On the spectral bias of neural networks

Reference 51

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Observation 8af13e91-566d-450a-8d0f-a368e7dabff7 · outbound

This paper cites Beyond periodicity: Towards a unifying framework for activations in coordinate- mlps.

Few-shot Implicit Function Generation via Equivariance Beyond periodicity: Towards a unifying framework for activations in coordinate- mlps

Reference 52

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Observation 8d74ee14-f8d5-4386-b136-4bac0584b93a · outbound

This paper cites Equivariance through parameter-sharing.

Few-shot Implicit Function Generation via Equivariance Equivariance through parameter-sharing

Reference 53

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Observation d2d87459-e7a1-431f-9ecd-a262bc979dda · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models.

Few-shot Implicit Function Generation via Equivariance High-resolution image syn- thesis with latent diffusion models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:11.264985Z

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Observation bcace0cc-3e58-4789-b80e-b931ac17ac47 · outbound

This paper cites Nonlinear total variation based noise removal algorithms.

Few-shot Implicit Function Generation via Equivariance Nonlinear total variation based noise removal algorithms

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:11.253678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1fcc79a8-dfa0-43bc-b7e6-16cea46e5dda · outbound

This paper cites Wire: Wavelet implicit neural representations.

Few-shot Implicit Function Generation via Equivariance Wire: Wavelet implicit neural representations

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:11.242266Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c144f2a1-2275-443c-9169-f98fb8065102 · outbound

This paper cites Hyper-representations as genera- tive models: Sampling unseen neural network weights.

Few-shot Implicit Function Generation via Equivariance Hyper-representations as genera- tive models: Sampling unseen neural network weights

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:11.230788Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 04bc347b-70d7-49cc-add9-dd6b741f61e0 · outbound

This paper cites Meshgpt: Generating triangle meshes with decoder-only transformers.

Few-shot Implicit Function Generation via Equivariance Meshgpt: Generating triangle meshes with decoder-only transformers

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:11.219428Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1d531013-2f11-4d7b-b318-67d01d4b2030 · outbound

This paper cites Implicit neural representa- tions with periodic activation functions.

Few-shot Implicit Function Generation via Equivariance Implicit neural representa- tions with periodic activation functions

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:11.208172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5a94213a-4d65-4801-8a51-a795d8e21a61 · outbound

This paper cites Denois- ing diffusion implicit models.

Few-shot Implicit Function Generation via Equivariance Denois- ing diffusion implicit models

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:11.196276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9ae69dd5-3a61-45b3-8e71-0bc8bca4f040 · outbound

This paper cites On the neighborhood structure of the traveling salesman problem generated by lo- cal search moves.

Few-shot Implicit Function Generation via Equivariance On the neighborhood structure of the traveling salesman problem generated by lo- cal search moves

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:11.185255Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f722c925-a756-4112-a737-2dc50bf70f36 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Few-shot Implicit Function Generation via Equivariance LLaMA: Open and Efficient Foundation Language Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T22:30:10.738084Z

Source-reported events for the cited work

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Observation 67ede45e-388d-4f8d-8a9c-79e3838b6511 · outbound

This paper cites Lion: Latent point dif- fusion models for 3d shape generation.

Few-shot Implicit Function Generation via Equivariance Lion: Latent point dif- fusion models for 3d shape generation

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:11.174745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0e546917-cae3-46c5-aec0-1c59c611d030 · outbound

This paper cites Neural Network Diffusion.

Few-shot Implicit Function Generation via Equivariance Neural Network Diffusion

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T22:30:10.745269Z

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Observation 8fa47aa3-8477-4cfb-8240-53f426df2e89 · outbound

This paper cites Representation theory and invariant neural networks.

Few-shot Implicit Function Generation via Equivariance Representation theory and invariant neural networks

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:11.163394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 83db8065-7d82-4f99-9945-277704d295b8 · outbound

This paper cites Few shot generative model adaption via relaxed spatial structural alignment.

Few-shot Implicit Function Generation via Equivariance Few shot generative model adaption via relaxed spatial structural alignment

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:11.151746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d29ef264-3973-4530-9cbe-66032920a22f · outbound

This paper cites Neural fields in visual computing and beyond.

Few-shot Implicit Function Generation via Equivariance Neural fields in visual computing and beyond

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T22:30:10.756153Z

Source-reported events for the cited work

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Observation 2eb59c70-de13-44a2-8d1c-6e16dc6703ca · outbound

This paper cites Signal processing for implicit neural rep- resentations.

Few-shot Implicit Function Generation via Equivariance Signal processing for implicit neural rep- resentations

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:11.133024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1c2e044f-ab69-4916-9d0f-1c371273886d · outbound

This paper cites Nesvor: implicit neural representation for slice-to- volume reconstruction in mri.

Few-shot Implicit Function Generation via Equivariance Nesvor: implicit neural representation for slice-to- volume reconstruction in mri

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:11.121642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 89a379a7-8337-458b-a09d-5588d2533640 · outbound

This paper cites Neural metamorphosis.

Few-shot Implicit Function Generation via Equivariance Neural metamorphosis

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:11.110344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fa32c8f7-2a32-4366-a583-140b18f94099 · outbound

This paper cites Generative neural fields by mixtures of neural implicit functions.

Few-shot Implicit Function Generation via Equivariance Generative neural fields by mixtures of neural implicit functions

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:11.099673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 72cf86e5-9eed-4e07-a2bc-2cc2f47e48f2 · outbound

This paper cites Deep sets.

Few-shot Implicit Function Generation via Equivariance Deep sets

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:11.088104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2828a14c-9d37-45c6-8113-8124229ec0e8 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Few-shot Implicit Function Generation via Equivariance The unreasonable effectiveness of deep features as a perceptual metric

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-10T22:30:10.778441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 933c7be7-9dd8-47c9-a658-60420a92669a · outbound

This paper cites Ex- ploring incompatible knowledge transfer in few-shot image generation.

Few-shot Implicit Function Generation via Equivariance Ex- ploring incompatible knowledge transfer in few-shot image generation

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:11.070466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 52094b22-6fb5-4b16-a91b-f2aa7864e4a7 · outbound

This paper cites Where is my spot? few-shot image generation via latent subspace optimization.

Few-shot Implicit Function Generation via Equivariance Where is my spot? few-shot image generation via latent subspace optimization

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:11.058408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9707f638-c7ef-45f2-8295-6f3df997d9a1 · outbound

This paper cites Hypertransformer: Model generation for supervised and semi-supervised few-shot learning.

Few-shot Implicit Function Generation via Equivariance Hypertransformer: Model generation for supervised and semi-supervised few-shot learning

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:11.048128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fb7ff30d-3a37-4bb7-85ec-9be0c100bc47 · outbound

This paper cites Permutation equivariant neural functionals.

Few-shot Implicit Function Generation via Equivariance Permutation equivariant neural functionals

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:11.038275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9996a0b6-7403-4cdc-bac3-d5446efb1b47 · outbound

This paper cites Neural functional transformers.

Few-shot Implicit Function Generation via Equivariance Neural functional transformers

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:11.026609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c2837892-74d5-4581-a9ec-434f1a2ea19a · outbound

This paper cites 3d shape genera- tion and completion through point-voxel diffusion.

Few-shot Implicit Function Generation via Equivariance 3d shape genera- tion and completion through point-voxel diffusion

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:11.015227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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