Diffusion priors for Bayesian 3D reconstruction from incomplete measurements | Paper Citation Record

Observation 20c1d808-a548-4418-b1e2-6cf2007a9b71 · outbound

This paper cites Anderson.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Anderson

Reference 1

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Observation b17afe63-da7c-4068-9ceb-c84c0260a9f1 · outbound

This paper cites The protein data bank.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements The protein data bank

Reference 2

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Observation ec1e46f7-2e65-4a8d-b2e3-dbb476954222 · outbound

This paper cites Monte Carlo guided Diffusion for Bayesian linear inverse problems.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Monte Carlo guided Diffusion for Bayesian linear inverse problems

Reference 3

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Observation 2a585953-83a1-4c47-8e74-a176b46e0145 · outbound

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

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements ShapeNet: An Information-Rich 3D Model Repository

Reference 4

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This paper cites Improving Diffusion Models for Inverse Problems using Manifold Constraints.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Improving Diffusion Models for Inverse Problems using Manifold Constraints

Reference 5

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Observation bf482c80-0422-45e9-8ce6-a872fb9b95f3 · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 6

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Observation 57dd7506-ac44-41cc-aacf-f233c20a82b1 · outbound

This paper cites On implementing 2D rectangular assignment algorithms.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements On implementing 2D rectangular assignment algorithms

Reference 7

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Observation 5691ee93-0a65-4add-91de-cf74a3119a10 · outbound

This paper cites Diffusion Models Beat GAN s on Image Synthesis.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Diffusion Models Beat GAN s on Image Synthesis

Reference 8

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Observation bc3fade6-f773-4d01-afdb-dc0c328da104 · outbound

This paper cites Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective

Reference 9

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Observation c8f3d1b7-c3fb-41ab-b0e6-e5db5c0fc5f1 · outbound

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

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Hyperdiffusion: Generating implicit neural fields with weight-space diffusion

Reference 10

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Observation c765ecd7-3058-4f7b-a548-8ae6489b0449 · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Fast Graph Representation Learning with PyTorch Geometric

Reference 11

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Observation b275530d-c6a1-4254-b508-ad8094dc64d2 · outbound

This paper cites Cryo2structdata: A large labeled cryo-em density map dataset for ai-based modeling of protein structures.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Cryo2structdata: A large labeled cryo-em density map dataset for ai-based modeling of protein structures

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:08.721270Z

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Observation 5dfd7182-2f6e-49db-8882-7f5c62674184 · outbound

This paper cites Diffusion Posterior Sampling is Computationally Intractable.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Diffusion Posterior Sampling is Computationally Intractable

Reference 13

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Observation 57fc2c0b-ba2b-46aa-aaec-9e8203e6eab6 · outbound

This paper cites Classifier-Free Diffusion Guidance , 2022.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Classifier-Free Diffusion Guidance , 2022

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:08.709728Z

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Observation a5a5de39-5d3a-46ac-9344-9b82ef1e6e77 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Denoising Diffusion Probabilistic Models

Reference 15

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This paper cites an unresolved cited work.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Unresolved cited work

Reference 16

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Observation 87b25a62-f4a8-402a-9511-ea6775b82300 · outbound

This paper cites Estimation of Non-Normalized Statistical Models by Score Matching.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Estimation of Non-Normalized Statistical Models by Score Matching

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:08.672349Z

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Observation 31483132-1fe1-4fef-a0f7-81c22c4e17b0 · outbound

This paper cites Ingraham, Max Baranov, Zak Costello, Karl W.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Ingraham, Max Baranov, Zak Costello, Karl W

Reference 18

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Observation ea348251-c493-48fa-96f1-0a36dfc7ebc0 · outbound

This paper cites Zero-Shot Text-Guided Object Generation with Dream Fields.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Zero-Shot Text-Guided Object Generation with Dream Fields

Reference 19

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Observation 870b052e-d97b-4b14-b99e-17493227f4f3 · outbound

This paper cites Shap-E: Generating Conditional 3D Implicit Functions.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Shap-E: Generating Conditional 3D Implicit Functions

Reference 20

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Observation 12c594bc-5263-4cf4-a0a0-b2775abd8ef0 · outbound

This paper cites Elucidating the Design Space of Diffusion-Based Generative Models.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Elucidating the Design Space of Diffusion-Based Generative Models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:08.652828Z

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Observation caacb39b-fb28-4e6c-88de-82aa4a834bab · outbound

This paper cites Analyzing and Improving the Training Dynamics of Diffusion Models , 2024.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Analyzing and Improving the Training Dynamics of Diffusion Models , 2024

Reference 22

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Observation a0417442-dc8d-4bc5-9207-d6f29c34a6b2 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Adam: A Method for Stochastic Optimization

Reference 23

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Observation cd5110fc-cae2-4d19-a7b9-807c58c87cf7 · outbound

This paper cites Latent Space Diffusion Models of Cryo-EM Structures.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Latent Space Diffusion Models of Cryo-EM Structures

Reference 24

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Observation e8c001db-ca46-4a80-b1e1-dd720717c335 · outbound

This paper cites an unresolved cited work.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Unresolved cited work

Reference 25

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Observation 762ee904-3c89-42d0-ab59-bf068a85fd94 · outbound

This paper cites One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:08.626955Z

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Observation f79a91af-55a4-47d1-9479-28c3f21788ab · outbound

This paper cites RePaint: Inpainting using Denoising Diffusion Probabilistic Models.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements RePaint: Inpainting using Denoising Diffusion Probabilistic Models

Reference 27

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Observation cf7691ce-9839-4bad-ab82-ca10bdd92521 · outbound

This paper cites Diffusion Probabilistic Models for 3D Point Cloud Generation.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Diffusion Probabilistic Models for 3D Point Cloud Generation

Reference 28

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Observation 130849fc-5add-400e-8df2-f78929b907cb · outbound

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

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Pc2: Projection-conditioned point cloud diffusion for single-image 3d reconstruction

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:08.614175Z

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Observation ced3be58-3da0-4f5f-b851-3104bea9af26 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Srinivasan, Matthew Tancik, Jonathan T

Reference 30

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Observation 4e0554bd-94d5-420b-ab69-fe6817e20ca5 · outbound

This paper cites Point-e: A system for generating 3d point clouds from complex prompts, 2022.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Point-e: A system for generating 3d point clouds from complex prompts, 2022

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:08.601646Z

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Observation 71b15891-fa69-47cf-963d-cc9c65f2a08f · outbound

This paper cites Pedregosa, G.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Pedregosa, G

Reference 32

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Observation f55cea5e-cc23-4bbf-8477-2de3892444bb · outbound

This paper cites cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:08.579833Z

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Observation cf1e8c7f-3286-4a30-9493-31869036efa5 · outbound

This paper cites RELION: implementation of a Bayesian approach to cryo-EM structure determination.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements RELION: implementation of a Bayesian approach to cryo-EM structure determination

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:08.566918Z

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Observation 3f4b8c58-63c4-404d-b606-a12db8b73e7c · outbound

This paper cites PyMOL , 2020.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements PyMOL , 2020

Reference 35

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Observation 30404229-0810-4a97-b64d-2dc265077ec3 · outbound

This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:08.541697Z

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Observation 7688a223-d567-4d1a-9190-84c7cc88b2e8 · outbound

This paper cites Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

Reference 37

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Observation 8441b9f4-e568-40d3-a963-05c73ddb262b · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Generative modeling by estimating gradients of the data distribution

Reference 38

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Observation df0a899e-1c11-46e6-b808-845718913abb · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Score-Based Generative Modeling through Stochastic Differential Equations

Reference 39

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Observation 2a5d108b-427c-4a8a-b32d-9a9b95417ef0 · outbound

This paper cites Methods for cryo-EM single particle reconstruction of macromolecules having continuous heterogeneity.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Methods for cryo-EM single particle reconstruction of macromolecules having continuous heterogeneity

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:08.496722Z

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Observation 811ab158-92d0-4670-81e9-9cad6f821a91 · outbound

This paper cites Trippe, Luhuan Wu, Christian A.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Trippe, Luhuan Wu, Christian A

Reference 41

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Observation a94a4919-4218-4202-9371-64da377b790e · outbound

This paper cites Trippe, Jason Yim, Doug Tischer, David Baker, Tamara Broderick, Regina Barzilay, and Tommi S.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Trippe, Jason Yim, Doug Tischer, David Baker, Tamara Broderick, Regina Barzilay, and Tommi S

Reference 42

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Observation 20766408-1a86-4280-86fb-2e2a496ce052 · outbound

This paper cites A correlation-based approach to robust point set registration.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements A correlation-based approach to robust point set registration

Reference 43

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Observation 0da8b809-3943-4e09-976e-6d6a8683c06a · outbound

This paper cites Lion: Latent point diffusion models for 3d shape generation.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Lion: Latent point diffusion models for 3d shape generation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:08.447187Z

Source-reported events for the cited work

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Observation b7333a44-7b70-49ec-81a2-aff66ae6f577 · outbound

This paper cites A Connection Between Score Matching and Denoising Autoencoders.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements A Connection Between Score Matching and Denoising Autoencoders

Reference 45

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Observation 4ed41866-b4a4-4b0e-8cb5-36dcb00e696a · outbound

This paper cites Diffmodeler: large macromolecular structure modeling for cryo-em maps using a diffusion model.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Diffmodeler: large macromolecular structure modeling for cryo-em maps using a diffusion model

Reference 46

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Observation fb97fa9f-30ba-4b6f-82ad-1f1c1e98fdab · outbound

This paper cites Bayesian Diffusion Models for 3D Shape Reconstruction.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Bayesian Diffusion Models for 3D Shape Reconstruction

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:08.435282Z

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Observation 3ca82984-d1aa-43a6-8969-097c39fe465d · outbound

This paper cites Pointflow: 3d point cloud generation with continuous normalizing flows.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Pointflow: 3d point cloud generation with continuous normalizing flows

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:08.423446Z

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 b407a220-194c-4bce-9057-22f3a07b6752 · outbound

This paper cites Robust single-particle cryo-em image denoising and restoration.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Robust single-particle cryo-em image denoising and restoration

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T11:54:07.811455Z

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Observation 15334393-91b4-483c-84a7-6b6ec2fa6a58 · outbound

This paper cites Zhong, Tristan Bepler, Bonnie Berger, and Joseph H.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Zhong, Tristan Bepler, Bonnie Berger, and Joseph H

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T11:54:07.815486Z

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Observation 17aa2722-de14-46c8-b743-9aa14bb1dece · outbound

This paper cites Zhong, Adam Lerer, Joseph H.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Zhong, Adam Lerer, Joseph H

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:08.410235Z

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 38959fc1-3694-4352-9e24-5aac7962f109 · outbound

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

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements 3d shape generation and completion through point-voxel diffusion

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:08.397200Z

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Observation bfc50dcb-92e8-41d5-942b-fb9e000d594f · outbound

This paper cites write newline.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements write newline

Reference 53

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Observation a22ffafa-7fda-4589-966c-fc0d2d7f4f3f · outbound

This paper cites @esa (Ref.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements @esa (Ref

Reference 54

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Observation ab2dec7c-1a96-4617-8b07-a3fbbc726c22 · outbound

This paper cites an unresolved cited work.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements Unresolved cited work

Reference 55

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Observation b5330c65-bf18-4b2d-a669-4fdda9020cf3 · outbound

This paper cites ** ! Emergency stop.

Diffusion priors for Bayesian 3D reconstruction from incomplete measurements ** ! Emergency stop

Reference 56

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