Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models
Fuente:
arXiv
Saved in:
| Main Authors: | Chung, Hyungjin, Ryu, Dohoon, McCann, Michael T., Klasky, Marc L., Ye, Jong Chul |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving Diffusion Models for Inverse Problems using Manifold Constraints
by: Chung, Hyungjin, et al.
Published: (2022)
by: Chung, Hyungjin, et al.
Published: (2022)
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems
by: Chung, Hyungjin, et al.
Published: (2024)
by: Chung, Hyungjin, et al.
Published: (2024)
Diffusion Posterior Sampling for General Noisy Inverse Problems
by: Chung, Hyungjin, et al.
Published: (2022)
by: Chung, Hyungjin, et al.
Published: (2022)
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
by: Chung, Hyungjin, et al.
Published: (2023)
by: Chung, Hyungjin, et al.
Published: (2023)
Score-based Diffusion Models for Bayesian Image Reconstruction
by: McCann, Michael T., et al.
Published: (2023)
by: McCann, Michael T., et al.
Published: (2023)
InvFusion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems
by: Elata, Noam, et al.
Published: (2025)
by: Elata, Noam, et al.
Published: (2025)
Accelerating Video Inverse Problem Solvers with Autoregressive Diffusion Models
by: Kwon, Taesung, et al.
Published: (2026)
by: Kwon, Taesung, et al.
Published: (2026)
InverseCrafter: Efficient Video ReCapture as a Latent Domain Inverse Problem
by: Hong, Yeobin, et al.
Published: (2025)
by: Hong, Yeobin, et al.
Published: (2025)
ACDC: Autoregressive Coherent Multimodal Generation using Diffusion Correction
by: Chung, Hyungjin, et al.
Published: (2024)
by: Chung, Hyungjin, et al.
Published: (2024)
Regularization by Texts for Latent Diffusion Inverse Solvers
by: Kim, Jeongsol, et al.
Published: (2023)
by: Kim, Jeongsol, et al.
Published: (2023)
Solving Video Inverse Problems Using Image Diffusion Models
by: Kwon, Taesung, et al.
Published: (2024)
by: Kwon, Taesung, et al.
Published: (2024)
Supervised Reconstruction for Silhouette Tomography
by: Bell, Evan, et al.
Published: (2024)
by: Bell, Evan, et al.
Published: (2024)
Amortized Posterior Sampling with Diffusion Prior Distillation
by: Mammadov, Abbas, et al.
Published: (2024)
by: Mammadov, Abbas, et al.
Published: (2024)
Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction
by: Xu, Xiaojian, et al.
Published: (2024)
by: Xu, Xiaojian, et al.
Published: (2024)
Contrastive CFG: Improving CFG in Diffusion Models by Contrasting Positive and Negative Concepts
by: Chang, Jinho, et al.
Published: (2024)
by: Chang, Jinho, et al.
Published: (2024)
A Survey on Diffusion Models for Inverse Problems
by: Daras, Giannis, et al.
Published: (2024)
by: Daras, Giannis, et al.
Published: (2024)
VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models
by: Kwon, Taesung, et al.
Published: (2024)
by: Kwon, Taesung, et al.
Published: (2024)
ReDirector: Creating Any-Length Video Retakes with Rotary Camera Encoding
by: Park, Byeongjun, et al.
Published: (2025)
by: Park, Byeongjun, et al.
Published: (2025)
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models
by: Chung, Hyungjin, et al.
Published: (2024)
by: Chung, Hyungjin, et al.
Published: (2024)
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
by: Kim, Won Jun, et al.
Published: (2024)
by: Kim, Won Jun, et al.
Published: (2024)
FlowLPS: Langevin-Proximal Sampling for Flow-based Inverse Problem Solvers
by: Park, Jonghyun, et al.
Published: (2025)
by: Park, Jonghyun, et al.
Published: (2025)
Align Your Query: Representation Alignment for Multimodality Medical Object Detection
by: Seo, Ara, et al.
Published: (2025)
by: Seo, Ara, et al.
Published: (2025)
MAFA: Managing False Negatives for Vision-Language Pre-training
by: Byun, Jaeseok, et al.
Published: (2023)
by: Byun, Jaeseok, et al.
Published: (2023)
Zero4D: Training-Free 4D Video Generation From Single Video Using Off-the-Shelf Video Diffusion
by: Park, Jangho, et al.
Published: (2025)
by: Park, Jangho, et al.
Published: (2025)
GenHPE: Generative Counterfactuals for 3D Human Pose Estimation with Radio Frequency Signals
by: Huang, Shuokang, et al.
Published: (2025)
by: Huang, Shuokang, et al.
Published: (2025)
FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems
by: Kim, Jeongsol, et al.
Published: (2025)
by: Kim, Jeongsol, et al.
Published: (2025)
Solving Inverse Problems using Diffusion with Iterative Colored Renoising
by: Bendel, Matt C., et al.
Published: (2025)
by: Bendel, Matt C., et al.
Published: (2025)
Incorporating Pre-trained Diffusion Models in Solving the Schrödinger Bridge Problem
by: Tang, Zhicong, et al.
Published: (2025)
by: Tang, Zhicong, et al.
Published: (2025)
FILT3R: Latent State Adaptive Kalman Filter for Streaming 3D Reconstruction
by: Jin, Seonghyun, et al.
Published: (2026)
by: Jin, Seonghyun, et al.
Published: (2026)
Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction
by: Barbano, Riccardo, et al.
Published: (2023)
by: Barbano, Riccardo, et al.
Published: (2023)
ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning
by: Chung, Hyungjin, et al.
Published: (2025)
by: Chung, Hyungjin, et al.
Published: (2025)
Fundus image enhancement through direct diffusion bridges
by: Kim, Sehui, et al.
Published: (2024)
by: Kim, Sehui, et al.
Published: (2024)
Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation
by: Tadokoro, Ryu, et al.
Published: (2024)
by: Tadokoro, Ryu, et al.
Published: (2024)
Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving
by: He, Jia, et al.
Published: (2024)
by: He, Jia, et al.
Published: (2024)
TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation
by: Kwon, Gihyun, et al.
Published: (2024)
by: Kwon, Gihyun, et al.
Published: (2024)
Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models
by: Jeong, Hyeonho, et al.
Published: (2023)
by: Jeong, Hyeonho, et al.
Published: (2023)
Unified Editing of Panorama, 3D Scenes, and Videos Through Disentangled Self-Attention Injection
by: Kwon, Gihyun, et al.
Published: (2024)
by: Kwon, Gihyun, et al.
Published: (2024)
Geometric 4D Stitching for Grounded 4D Generation
by: Park, Sunwoo, et al.
Published: (2026)
by: Park, Sunwoo, et al.
Published: (2026)
G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving
by: Murata, Naoki, et al.
Published: (2024)
by: Murata, Naoki, et al.
Published: (2024)
Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion
by: Lee, Junhyeok, et al.
Published: (2025)
by: Lee, Junhyeok, et al.
Published: (2025)
Similar Items
-
Improving Diffusion Models for Inverse Problems using Manifold Constraints
by: Chung, Hyungjin, et al.
Published: (2022) -
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems
by: Chung, Hyungjin, et al.
Published: (2024) -
Diffusion Posterior Sampling for General Noisy Inverse Problems
by: Chung, Hyungjin, et al.
Published: (2022) -
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
by: Chung, Hyungjin, et al.
Published: (2023) -
Score-based Diffusion Models for Bayesian Image Reconstruction
by: McCann, Michael T., et al.
Published: (2023)