Paper Citation Record · LEDGER

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders

As of 12 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 13 inbound Pith citation observations for arXiv:2412.17808.

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

pith.paper-citation-record.v1
2412.17808 v3

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

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measured 81 of 81 standing notices

One-hop event checks from named stored sources.

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measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:23:33.823843Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:55:25.019670Z

Reference resolution

68 of 68 outbound references displayed

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External citation measurements

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Outbound references

Observation 9d4f71e3-aa9b-4316-bcea-26b124f14d71 · outbound

This paper cites https://hyperhuman.deemos.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders https://hyperhuman.deemos

Reference 1

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This paper cites https://www.tripo3d.ai/.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders https://www.tripo3d.ai/

Reference 2

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This paper cites META, 2024.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders META, 2024

Reference 3

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Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Unresolved cited work

Reference 4

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This paper cites AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation

Reference 5

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

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders ShapeNet: An Information-Rich 3D Model Repository

Reference 6

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This paper cites Pixart-α: Fast training of dif- fusion transformer for photorealistic text-to-image synthesis,.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Pixart-α: Fast training of dif- fusion transformer for photorealistic text-to-image synthesis,

Reference 7

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This paper cites Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models

Reference 8

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This paper cites Pixart- δ: Fast and controllable image generation with latent consistency mod- els, 2024.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Pixart- δ: Fast and controllable image generation with latent consistency mod- els, 2024

Reference 9

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Observation 6129fd7e-12a6-4bf8-b2f4-1ca6086a6343 · outbound

This paper cites Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation

Reference 10

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Observation 72181c1c-5ec0-4542-bcc6-7fb63f0217a4 · outbound

This paper cites Taming diffusion probabilistic mod- els for character control.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Taming diffusion probabilistic mod- els for character control

Reference 11

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This paper cites Training Deep Nets with Sublinear Memory Cost.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Training Deep Nets with Sublinear Memory Cost

Reference 12

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Observation 4a41f9da-4479-4ed9-89cc-7524d6dfefd6 · outbound

This paper cites Tango: Text-driven photorealistic and robust 3d styliza- tion via lighting decomposition.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Tango: Text-driven photorealistic and robust 3d styliza- tion via lighting decomposition

Reference 13

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This paper cites Abo: Dataset and benchmarks for real-world 3d object un- derstanding.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Abo: Dataset and benchmarks for real-world 3d object un- derstanding

Reference 14

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This paper cites Flashattention-2: Faster attention with better paral- lelism and work partitioning.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Flashattention-2: Faster attention with better paral- lelism and work partitioning

Reference 15

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Observation 63200ed0-2904-4041-82a6-4a9a132fd479 · outbound

This paper cites Objaverse: A Universe of Annotated 3D Objects.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Objaverse: A Universe of Annotated 3D Objects

Reference 16

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Observation c6f43302-13ce-4525-8b0f-c2ea7ee070d2 · outbound

This paper cites Strobl, Matthias Humt, and Rudolph Triebel.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Strobl, Matthias Humt, and Rudolph Triebel

Reference 17

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Observation 76937e6b-f9c1-404c-94e1-98292bffaf76 · outbound

This paper cites Google scanned objects: A high- quality dataset of 3d scanned household items.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Google scanned objects: A high- quality dataset of 3d scanned household items

Reference 18

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Observation 6d332332-ace3-44c3-9680-3a8ff0d78ac1 · outbound

This paper cites Kaolin: A pytorch library for accelerating 3d deep learning research.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Kaolin: A pytorch library for accelerating 3d deep learning research

Reference 19

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Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Unresolved cited work

Reference 20

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Observation 87965c02-77fc-4449-b3c1-c313988e44f5 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Denoising Diffusion Probabilistic Models

Reference 21

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This paper cites LRM: large reconstruction model for single image to 3d.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders LRM: large reconstruction model for single image to 3d

Reference 22

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Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Lrm: Large reconstruction model for single image to 3d, 2024

Reference 23

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Observation 68dfc776-2a75-40fd-81b4-40f8b6cc4776 · outbound

This paper cites Neural kernel surface re- construction.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Neural kernel surface re- construction

Reference 24

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Observation 24a55d2f-0b53-42f7-9568-718f6aa82b10 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders 3d gaussian splatting for real-time radiance field rendering

Reference 25

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This paper cites Tanks and temples: benchmarking large-scale scene reconstruction.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Tanks and temples: benchmarking large-scale scene reconstruction

Reference 26

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Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Modular primitives for high-performance differentiable rendering

Reference 27

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Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Ln3diff: Scalable latent neural fields diffusion for speedy 3d generation

Reference 28

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This paper cites Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model

Reference 29

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Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Sweet- dreamer: Aligning geometric priors in 2d diffusion for con- sistent text-to-3d

Reference 30

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Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders CraftsMan3D: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refiner

Reference 31

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Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching

Reference 32

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Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Magic3d: High-resolution text-to-3d content creation

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Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Sherpa3d: Boosting high-fidelity text-to-3d genera- tion via coarse 3d prior, 2023

Reference 34

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This paper cites One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimiza- tion.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimiza- tion

Reference 35

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Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Model

Reference 36

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Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

Reference 37

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Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Srinivasan, Matthew Tancik, Jonathan T

Reference 38

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Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Fast marching far- thest point sampling

Reference 39

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Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Unresolved cited work

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Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Scalable Diffusion Models with Transformers

Reference 41

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Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Scalable diffusion models with transformers

Reference 42

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Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Barron, and Ben Milden- hall

Reference 43

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Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Richdreamer: A generalizable normal-depth diffusion model for detail richness in text-to- 3d

Reference 44

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This paper cites Xcube: Large-scale 3d generative modeling using sparse voxel hierarchies.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Xcube: Large-scale 3d generative modeling using sparse voxel hierarchies

Reference 45

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Observation d0ffea38-291b-4556-9d4f-f17f865b4d2e · outbound

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

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders High-resolution image syn- thesis with latent diffusion models

Reference 46

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Observation 6a5cba65-3948-430b-b32a-c02b7229c2a7 · outbound

This paper cites Deep marching tetrahedra: a hybrid repre- sentation for high-resolution 3d shape synthesis.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Deep marching tetrahedra: a hybrid repre- sentation for high-resolution 3d shape synthesis

Reference 47

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Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders MVDream: Multi-view Diffusion for 3D Generation

Reference 48

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Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation

Reference 49

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Observation ee896447-73cb-46f3-be75-3297acf6bd4b · outbound

This paper cites Dreamgaussian: Generative gaussian splatting for effi- cient 3d content creation.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Dreamgaussian: Generative gaussian splatting for effi- cient 3d content creation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:13:03.837117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d66d72d3-2fe0-46c2-b4df-0207aa224388 · outbound

This paper cites TripoSR: Fast 3D Object Reconstruction from a Single Image.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders TripoSR: Fast 3D Object Reconstruction from a Single Image

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T05:13:03.234701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3476171f-3316-4a9c-9be9-1274f88a6867 · outbound

This paper cites PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T05:13:03.239012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35c78799-3fbb-457a-a81b-5736326a31a4 · outbound

This paper cites Rodin: A generative model for sculpting 3d digital avatars using diffusion, 2022.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Rodin: A generative model for sculpting 3d digital avatars using diffusion, 2022

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:13:03.821641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 855d63b4-d88e-4aa4-a715-e5cfeab95c38 · outbound

This paper cites ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T05:13:03.248070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03fd8164-46a9-499a-9960-8f7129fdbbe9 · outbound

This paper cites CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T05:13:03.253266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6a436e1-656c-4a56-82d2-733b754d2033 · outbound

This paper cites fvdb: A deep-learning framework for sparse, large-scale, and high-performance spatial intelli- gence.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders fvdb: A deep-learning framework for sparse, large-scale, and high-performance spatial intelli- gence

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:13:03.804305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ac3fc623-c020-48d0-9644-a94e9a609ebc · outbound

This paper cites Attention-based point cloud edge sampling.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Attention-based point cloud edge sampling

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:13:03.788390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b01ab088-8d55-4032-aaa7-69cd8ed56429 · outbound

This paper cites Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T05:13:03.266856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91ea3520-94f6-419d-b792-e8251e63cabb · outbound

This paper cites OctFusion: Octree- based diffusion models for 3d shape generation.arXiv, 2024.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders OctFusion: Octree- based diffusion models for 3d shape generation.arXiv, 2024

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:13:03.773102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b5ad2b92-7e33-470d-9223-8299a532542d · outbound

This paper cites InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T05:13:03.277477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 412922a0-f399-4776-978d-f9482a8e756a · outbound

This paper cites Sample elimination for generating poisson disk sample sets.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Sample elimination for generating poisson disk sample sets

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:13:03.751637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6af1676e-54d1-4dc0-b0f0-9591a3702400 · outbound

This paper cites LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T05:13:03.286899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1f0a82e-9229-4fb3-a636-582417c34f69 · outbound

This paper cites 3dshape2vecset: A 3d shape representation for neu- ral fields and generative diffusion models.ACM Transactions on Graphics (SIGGRAPH), 42(4), 2023.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders 3dshape2vecset: A 3d shape representation for neu- ral fields and generative diffusion models.ACM Transactions on Graphics (SIGGRAPH), 42(4), 2023

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:13:03.735564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dcb5484d-c1e6-4261-9f07-d2a182353a22 · outbound

This paper cites Adding conditional control to text-to-image diffusion models, 2023.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Adding conditional control to text-to-image diffusion models, 2023

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T05:13:03.295795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c92b94b0-482a-4ceb-9865-f3299d4df388 · outbound

This paper cites Clay: A controllable large-scale generative model for creat- ing high-quality 3d assets.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Clay: A controllable large-scale generative model for creat- ing high-quality 3d assets

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:13:03.708757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 02e6e7eb-fcc4-4557-aafd-427dc56c9082 · outbound

This paper cites TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-08-11T05:13:03.357733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d56a4c46-522c-4fcf-86b5-a915407bc284 · outbound

This paper cites Michelangelo: Conditional 3d shape generation based on shape-image-text aligned latent representation.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Michelangelo: Conditional 3d shape generation based on shape-image-text aligned latent representation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:13:03.692604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 16d4ce80-2776-4099-9949-b6d7dd47802c · outbound

This paper cites an unresolved cited work.

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders Unresolved cited work

Reference 2024

Resolution: parse uncertain; no resolver link, observed 2026-08-11T05:13:03.089462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation fd65caf9-102d-467b-b284-1b891c7da846 · inbound

3D Shape Tokenization via Latent Flow Matching cites this paper.

3D Shape Tokenization via Latent Flow Matching Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T11:23:33.823843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d27782ef-78ba-4892-a36b-9110f9b00b57 · inbound

Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation cites this paper.

Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:55:25.022622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8e12d9a5-5f3a-4739-a2b3-9a5d41fb6cd5 · inbound

Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling cites this paper.

Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:30.533798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97a57fc2-e2f3-4ceb-94c3-49e3bb0e1cfc · inbound

Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention cites this paper.

Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:50:37.717407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34e63545-777f-4cd9-8ae5-b2700879bc6a · inbound

ViewCraft3D: High-Fidelity and View-Consistent 3D Vector Graphics Synthesis cites this paper.

ViewCraft3D: High-Fidelity and View-Consistent 3D Vector Graphics Synthesis Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:22.780129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8beeccf5-00b7-4158-8e7a-9bb468782fef · inbound

UniTEX: Universal High Fidelity Generative Texturing for 3D Shapes cites this paper.

UniTEX: Universal High Fidelity Generative Texturing for 3D Shapes Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:53:36.388844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90e8cd61-1c5b-4001-8f96-263fe5a27353 · inbound

PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers cites this paper.

PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:00.443883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11cc84ce-1056-4ae2-a2b3-9a96887e9b1e · inbound

Efficient Part-level 3D Object Generation via Dual Volume Packing cites this paper.

Efficient Part-level 3D Object Generation via Dual Volume Packing Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:40:13.486494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee6af1ee-dadb-4f2a-88d4-abb9f40f0e83 · inbound

Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material cites this paper.

Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:10:17.723190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b5473c45-12c1-45b0-900a-ce3d027c9897 · inbound

AutoPartGen: Autogressive 3D Part Generation and Discovery cites this paper.

AutoPartGen: Autogressive 3D Part Generation and Discovery Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T16:30:04.577406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41b460c1-a971-4128-9cf6-ed79802bf5e3 · inbound

Unifi3D: A Study on 3D Representations for Generation and Reconstruction in a Common Framework cites this paper.

Unifi3D: A Study on 3D Representations for Generation and Reconstruction in a Common Framework Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T11:40:22.179122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80ae22d5-a1db-4940-9db8-9d15d844b491 · inbound

MeshReGen: A Unified 3D Geometry Regeneration Framework cites this paper.

MeshReGen: A Unified 3D Geometry Regeneration Framework Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T10:21:29.589908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 71868cd6-9f5b-4709-b8e2-92d24af756a6 · inbound

MeshReGen: A Unified 3D Geometry Regeneration Framework cites this paper.

MeshReGen: A Unified 3D Geometry Regeneration Framework Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T00:53:53.124223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.