Paper Citation Record · LEDGER

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors

As of 19 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2501.16737.

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

pith.paper-citation-record.v1
2501.16737 v2

Coverage vector

measured 60 of 60 reference resolution

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:43:32.856645Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:43:38.760338Z

Reference resolution

60 of 60 outbound references displayed

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External citation measurements

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Outbound references

Observation 8227e477-3fb6-4a28-a99b-1945f1871982 · outbound

This paper cites Statistical approach to shape from shading: Reconstruc- tion of three-dimensional face surfaces from single two- dimensional images.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Statistical approach to shape from shading: Reconstruc- tion of three-dimensional face surfaces from single two- dimensional images

Reference 1

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Observation 0a787b07-d53f-4e36-b385-bf1ce5fcee42 · outbound

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

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors ShapeNet: An Information-Rich 3D Model Repository

Reference 2

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Observation bf0fed16-8d80-4fa5-bd77-4937577bc880 · outbound

This paper cites Mvsnerf: Fast general- izable radiance ﬁeld reconstruction from multi-view stere o.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Mvsnerf: Fast general- izable radiance ﬁeld reconstruction from multi-view stere o

Reference 3

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Observation 7584b1ef-c8a6-4176-8fc4-485481822c4f · outbound

This paper cites Neuraled- itor: Editing neural radiance ﬁelds via manipulating point clouds.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Neuraled- itor: Editing neural radiance ﬁelds via manipulating point clouds

Reference 4

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Observation 09d77e7c-1e9c-4809-a805-d573770ca7e6 · outbound

This paper cites Reproducible scal- ing laws for contrastive language-image learning.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Reproducible scal- ing laws for contrastive language-image learning

Reference 5

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Observation 4cb7b963-35a9-4853-bd35-b1c5bc456f18 · outbound

This paper cites Vi- sual hull alignment and reﬁnement across time: A 3d recon- struction algorithm combining shape-from-silhouette wit h stereo.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Vi- sual hull alignment and reﬁnement across time: A 3d recon- struction algorithm combining shape-from-silhouette wit h stereo

Reference 6

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Observation 26d6cc87-27af-4b91-8f9f-83931279b975 · outbound

This paper cites 3d-r2n2: A uniﬁed approach for single and multi-view 3d object reconstruction.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors 3d-r2n2: A uniﬁed approach for single and multi-view 3d object reconstruction

Reference 7

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This paper cites 3d-r2n2: A uniﬁed approach for single and multi-view 3d object reconstruction.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors 3d-r2n2: A uniﬁed approach for single and multi-view 3d object reconstruction

Reference 8

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Observation ebb8634e-2499-4300-bd92-1f425101428f · outbound

This paper cites Learning human-to-robot handovers from point clouds.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Learning human-to-robot handovers from point clouds

Reference 9

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Observation 1ddd065b-310a-4daa-93ce-56abd6ba8321 · outbound

This paper cites CCD-3DR: Consistent Conditioning in Diffusion for Single-Image 3D Reconstruction.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors CCD-3DR: Consistent Conditioning in Diffusion for Single-Image 3D Reconstruction

Reference 10

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Observation 096fd2e9-dbfe-49aa-9e6d-0df03605cbf8 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 11

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Observation bc8acf01-427d-4461-97f0-3d8ba31858ac · outbound

This paper cites Single-vie w 3d reconstruction: A survey of deep learning methods.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Single-vie w 3d reconstruction: A survey of deep learning methods

Reference 12

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Observation 9faba606-4748-49f0-9cd9-61e507aae437 · outbound

This paper cites Single image 3d object reconstruction based on deep learn- ing: A review.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Single image 3d object reconstruction based on deep learn- ing: A review

Reference 13

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Observation 894e20d5-010f-4aef-9cc1-65ea194ab6cc · outbound

This paper cites Deep learning for 3d point clouds: A survey.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Deep learning for 3d point clouds: A survey

Reference 14

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Observation d3200c47-b609-46cd-9b33-a12dcd93f07d · outbound

This paper cites Multiple view ge- ometry in computer vision.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Multiple view ge- ometry in computer vision

Reference 15

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Observation 5f4241fa-7ea7-4adc-afc9-18c9b36c1264 · outbound

This paper cites Unsupervised learning of 3d object cate- gories from videos in the wild.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Unsupervised learning of 3d object cate- gories from videos in the wild

Reference 16

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Observation 79604ad5-c96f-4b20-9aca-e45aec5adee0 · outbound

This paper cites Shape from shading: A method for ob- taining the shape of a smooth opaque object from one view.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Shape from shading: A method for ob- taining the shape of a smooth opaque object from one view

Reference 17

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Observation 8d6e0799-9541-4d71-b4f5-9cf72b3304b1 · outbound

This paper cites Codenerf: Disentan- gled neural radiance ﬁelds for object categories.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Codenerf: Disentan- gled neural radiance ﬁelds for object categories

Reference 18

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Observation 4dbdc552-c3c4-49da-b2da-dd770898fa94 · outbound

This paper cites Geonerf: Generalizing nerf with geometry priors.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Geonerf: Generalizing nerf with geometry priors

Reference 19

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Observation 9c01591c-ff7d-44b3-85ac-5913ea58fce0 · outbound

This paper cites Learning a multi-view stereo machine.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Learning a multi-view stereo machine

Reference 20

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Observation 1285b4fc-9392-4eff-8f3e-b76b7f4b4e4d · outbound

This paper cites Learning view priors for single-view 3d reconstruction.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Learning view priors for single-view 3d reconstruction

Reference 21

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Observation 24816008-ad76-4213-b49f-707430880924 · outbound

This paper cites Viewformer: Nerf-free neural rendering from few images using transformers.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Viewformer: Nerf-free neural rendering from few images using transformers

Reference 22

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Observation 8379364b-9d0b-46f4-98e7-20da4209dde7 · outbound

This paper cites Self-supervised single-view 3d reconstruction via semantic consistency.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Self-supervised single-view 3d reconstruction via semantic consistency

Reference 23

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Observation 09482711-3c4f-4e6e-adc5-d17925718ffb · outbound

This paper cites Photometric mesh optimization for video-aligned 3d object reconstruction.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Photometric mesh optimization for video-aligned 3d object reconstruction

Reference 24

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Observation 9100acda-c04b-4c3e-acba-1b87d7e455bd · outbound

This paper cites One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion

Reference 25

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Observation 7b28405f-2dd4-498f-afab-20db0b9c76ec · outbound

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

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimiza- tion

Reference 26

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Observation 727ac167-41ce-476b-9e38-4e6136c2bd18 · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3d object, 2023.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Zero-1-to-3: Zero-shot one image to 3d object, 2023

Reference 27

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Observation b93869db-1e6e-4a37-a1e8-ccf0e3df4aed · outbound

This paper cites Hoi4d: A 4d egocentric dataset for category-level human- object interaction.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Hoi4d: A 4d egocentric dataset for category-level human- object interaction

Reference 28

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This paper cites Neural rays for occlusion-aware image-based render- ing.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Neural rays for occlusion-aware image-based render- ing

Reference 29

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This paper cites SyncDreamer: Generating Multiview-consistent Images from a Single-view Image.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

Reference 30

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Observation 5254380d-46fd-4d39-b4f0-e15680eaffc2 · outbound

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

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Diffusion probabilistic models for 3d point cloud generation

Reference 31

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This paper cites A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion

Reference 32

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This paper cites Pc2: Projection-conditioned point cloud diffusi on for single-image 3d reconstruction.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Pc2: Projection-conditioned point cloud diffusi on for single-image 3d reconstruction

Reference 33

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Observation 28cb3f02-8bf7-470d-b898-8c3f36d02200 · outbound

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

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Occupancy networks: Learning 3d reconstruction in function space

Reference 34

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

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Nerf: Representing scenes as neural radiance ﬁelds for view syn- thesis

Reference 35

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Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Unresolved cited work

Reference 36

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Observation 9ad5056c-36f9-4a02-b6eb-28e86faba0cd · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors DINOv2: Learning Robust Visual Features without Supervision

Reference 37

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This paper cites Com- mon objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Com- mon objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction

Reference 38

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Observation 34d4a385-c8b9-414a-86a9-9c693865d140 · outbound

This paper cites ShaRF: Shape-conditioned Radiance Fields from a Single View.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors ShaRF: Shape-conditioned Radiance Fields from a Single View

Reference 39

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Observation bbe9c6ab-6d43-4f60-861c-5fc2a510eb99 · outbound

This paper cites Structu re- from-motion revisited.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Structu re- from-motion revisited

Reference 40

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This paper cites Pixelwise view selection for unstructured multi-view stereo.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Pixelwise view selection for unstructured multi-view stereo

Reference 41

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Observation dc5c7e3e-6acb-4072-9155-56624f5dac50 · outbound

This paper cites Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model

Reference 42

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This paper cites Grab: A dataset of whole-body human grasp- ing of objects.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Grab: A dataset of whole-body human grasp- ing of objects

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:10:22.240904Z

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Observation b07cc0c4-f4de-4328-b6ce-71aa87cf608b · outbound

This paper cites What do single-view 3d reconstruction networks learn? In CVPR, pages 3405–3414, 2019.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors What do single-view 3d reconstruction networks learn? In CVPR, pages 3405–3414, 2019

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:10:22.231132Z

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Observation 50b7271d-5af8-42a0-bb25-f275d93c324c · outbound

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

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Lion: Latent point dif- fusion models for 3d shape generation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:10:22.222124Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0e19d6d0-c925-4fb5-b30e-b10aade1fb75 · outbound

This paper cites Few-shot generali za- tion for single-image 3d reconstruction via priors.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Few-shot generali za- tion for single-image 3d reconstruction via priors

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:10:22.213191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 351a8b19-36fd-4c3e-9d88-8a0582a6f3ec · outbound

This paper cites Recovering surface shape and orientat ion from texture.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Recovering surface shape and orientat ion from texture

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:10:22.203896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 55a0b31b-55af-411e-affe-cc50aebfca23 · outbound

This paper cites Pix2vox++: Multi-scale context- aware 3d object reconstruction from single and multiple im- ages.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Pix2vox++: Multi-scale context- aware 3d object reconstruction from single and multiple im- ages

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:10:22.194938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 46fecd01-a7e5-46da-8a96-827894738434 · outbound

This paper cites Bayesian diffusion models for 3d shape reconstruction.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Bayesian diffusion models for 3d shape reconstruction

Reference 49

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Observation 68852fbd-a1c5-43d5-8e91-a74c922916bc · outbound

This paper cites pixelnerf: Neural radiance ﬁelds from one or few images.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors pixelnerf: Neural radiance ﬁelds from one or few images

Reference 50

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Observation 7b3dfb3a-2886-40b1-af28-23ba96544d01 · outbound

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

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Adding conditional control to text-to-image diffusion models

Reference 51

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Observation 31b580d3-7356-4078-b70f-2fc6fda12bc8 · outbound

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

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors 3d shape genera- tion and completion through point-voxel diffusion

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:10:22.158795Z

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Observation 1ac92b36-3f5b-490f-89f7-08566cff5c5b · outbound

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

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors 3d shape genera- tion and completion through point-voxel diffusion

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:10:22.149928Z

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Observation bab6e419-e3bd-44d0-830f-e16cb5ec8180 · outbound

This paper cites Ta- ble 7 presents an ablation study evaluating different global feature conditioning methods.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Ta- ble 7 presents an ablation study evaluating different global feature conditioning methods

Reference 54

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Observation 31db56f5-0cd3-4b78-a118-59cfdba93ec5 · outbound

This paper cites 5, which introduces the reduced- variance variational bound for diffusion models within the context of our reverse process, is presented following Eq.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors 5, which introduces the reduced- variance variational bound for diffusion models within the context of our reverse process, is presented following Eq

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:10:22.131631Z

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Observation 6e9183a4-95dd-4fd0-85a2-4ca3c0174a0a · outbound

This paper cites 6 presents additional visual results.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors 6 presents additional visual results

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:10:22.121269Z

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Observation 2c8739cb-06f2-4bfc-8f37-5d33a020539c · outbound

This paper cites By feeding the image into OpenCLIP [ 5], we obtain both text and image embeddings.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors By feeding the image into OpenCLIP [ 5], we obtain both text and image embeddings

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:10:22.110690Z

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Observation b4d29817-9105-4fd2-90e9-20889f17b006 · outbound

This paper cites teddybear.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors teddybear

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:10:22.099961Z

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Observation 35daef78-4ac9-4cfc-b77a-0e2f38d3b3fc · outbound

This paper cites an unresolved cited work.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Unresolved cited work

Reference 59

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Observation 7ec9e494-ba6e-4d4c-b129-7131ad0a8583 · outbound

This paper cites an unresolved cited work.

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors Unresolved cited work

Reference 60

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Pith citing papers

Observation 34ce6c03-6063-4b69-ae8f-5dd52aeb72e3 · inbound

A Continuous-Time Consistency Model for 3D Point Cloud Generation cites this paper.

A Continuous-Time Consistency Model for 3D Point Cloud Generation Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors

Reference 18

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