STeP: A Framework for Solving Scientific Video Inverse Problems with Spatiotemporal Diffusion Priors
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Bingliang, Wu, Zihui, Feng, Berthy T., Song, Yang, Yue, Yisong, Bouman, Katherine L. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors
by: Wu, Zihui, et al.
Published: (2024)
by: Wu, Zihui, et al.
Published: (2024)
InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences
by: Zheng, Hongkai, et al.
Published: (2025)
by: Zheng, Hongkai, et al.
Published: (2025)
Variational Bayesian Imaging with an Efficient Surrogate Score-based Prior
by: Feng, Berthy T., et al.
Published: (2023)
by: Feng, Berthy T., et al.
Published: (2023)
U-DAVI: Uncertainty-Aware Diffusion-Prior-Based Amortized Variational Inference for Image Reconstruction
by: Varshney, Ayush, et al.
Published: (2026)
by: Varshney, Ayush, et al.
Published: (2026)
Provable Probabilistic Imaging using Score-Based Generative Priors
by: Sun, Yu, et al.
Published: (2023)
by: Sun, Yu, et al.
Published: (2023)
Neural Approximate Mirror Maps for Constrained Diffusion Models
by: Feng, Berthy T., et al.
Published: (2024)
by: Feng, Berthy T., et al.
Published: (2024)
STeP-Diff: Spatio-Temporal Physics-Informed Diffusion Models for Mobile Fine-Grained Pollution Forecasting
by: Zhou, Nan, et al.
Published: (2025)
by: Zhou, Nan, et al.
Published: (2025)
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
by: Zhang, Bingliang, et al.
Published: (2024)
by: Zhang, Bingliang, et al.
Published: (2024)
Event-horizon-scale Imaging of M87* under Different Assumptions via Deep Generative Image Priors
by: Feng, Berthy T., et al.
Published: (2024)
by: Feng, Berthy T., et al.
Published: (2024)
Split Gibbs Discrete Diffusion Posterior Sampling
by: Chu, Wenda, et al.
Published: (2025)
by: Chu, Wenda, et al.
Published: (2025)
Optimizing Diffusion Priors in Image Reconstruction from a Single Observation
by: Wang, Frederic, et al.
Published: (2026)
by: Wang, Frederic, et al.
Published: (2026)
Visual Surface Wave Elastography: Revealing Subsurface Physical Properties via Visible Surface Waves
by: Ogren, Alexander C., et al.
Published: (2025)
by: Ogren, Alexander C., et al.
Published: (2025)
Teaching Humans Subtle Differences with DIFFusion
by: Chiquier, Mia, et al.
Published: (2025)
by: Chiquier, Mia, et al.
Published: (2025)
Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems
by: Hu, Jason, et al.
Published: (2024)
by: Hu, Jason, et al.
Published: (2024)
Generative Diffusion Priors for 3D Mapping of the Dark Universe
by: Zhao, Brandon, et al.
Published: (2026)
by: Zhao, Brandon, et al.
Published: (2026)
Score-Based Diffusion Models for Photoacoustic Tomography Image Reconstruction
by: Dey, Sreemanti, et al.
Published: (2024)
by: Dey, Sreemanti, et al.
Published: (2024)
Dynamic Black-hole Emission Tomography with Physics-informed Neural Fields
by: Feng, Berthy T., et al.
Published: (2026)
by: Feng, Berthy T., et al.
Published: (2026)
POLISH'ing the Sky: Wide-Field and High-Dynamic Range Interferometric Image Reconstruction with Application to Strong Lens Discovery
by: Wu, Zihui, et al.
Published: (2026)
by: Wu, Zihui, et al.
Published: (2026)
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
by: Daras, Giannis, et al.
Published: (2024)
by: Daras, Giannis, et al.
Published: (2024)
Solving Video Inverse Problems Using Image Diffusion Models
by: Kwon, Taesung, et al.
Published: (2024)
by: Kwon, Taesung, et al.
Published: (2024)
InstantViR: Real-Time Video Inverse Problem Solver with Distilled Diffusion Prior
by: Bai, Weimin, et al.
Published: (2025)
by: Bai, Weimin, et al.
Published: (2025)
OccSTeP: Benchmarking 4D Occupancy Spatio-Temporal Persistence
by: Zheng, Yu, et al.
Published: (2025)
by: Zheng, Yu, et al.
Published: (2025)
Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach
by: Chen, Haoxuan, et al.
Published: (2025)
by: Chen, Haoxuan, et al.
Published: (2025)
FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems
by: Terris, Matthieu, et al.
Published: (2024)
by: Terris, Matthieu, et al.
Published: (2024)
Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
by: Song, Bowen, et al.
Published: (2023)
by: Song, Bowen, et al.
Published: (2023)
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior
by: González, Mario, et al.
Published: (2021)
by: González, Mario, et al.
Published: (2021)
Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser
by: Kadkhodaie, Zahra, et al.
Published: (2020)
by: Kadkhodaie, Zahra, et al.
Published: (2020)
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)
End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer
by: Chu, Wenda, et al.
Published: (2026)
by: Chu, Wenda, et al.
Published: (2026)
Blade: A Derivative-free Bayesian Inversion Method using Diffusion Priors
by: Zheng, Hongkai, et al.
Published: (2025)
by: Zheng, Hongkai, et al.
Published: (2025)
ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning
by: Chung, Hyungjin, et al.
Published: (2025)
by: Chung, Hyungjin, et al.
Published: (2025)
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems
by: Lee, Sojin, et al.
Published: (2024)
by: Lee, Sojin, et al.
Published: (2024)
Sample-efficient evidence estimation of score based priors for model selection
by: Wang, Frederic, et al.
Published: (2026)
by: Wang, Frederic, et al.
Published: (2026)
Solving a Nonlinear Blind Inverse Problem for Tagged MRI with Physics and Deep Generative Priors
by: Bian, Zhangxing, et al.
Published: (2026)
by: Bian, Zhangxing, et al.
Published: (2026)
Prototype Clustered Diffusion Models for Versatile Inverse Problems
by: Zhang, Jinghao, et al.
Published: (2024)
by: Zhang, Jinghao, et al.
Published: (2024)
Spatiotemporally Consistent Indoor Lighting Estimation with Diffusion Priors
by: Tong, Mutian, et al.
Published: (2025)
by: Tong, Mutian, et al.
Published: (2025)
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models
by: Wang, Hengkang, et al.
Published: (2024)
by: Wang, Hengkang, et al.
Published: (2024)
Solving Inverse Problems with FLAIR
by: Erbach, Julius, et al.
Published: (2025)
by: Erbach, Julius, et al.
Published: (2025)
Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models
by: Zheng, Yang, et al.
Published: (2025)
by: Zheng, Yang, et al.
Published: (2025)
Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization
by: Chen, Tianyu, et al.
Published: (2024)
by: Chen, Tianyu, et al.
Published: (2024)
Similar Items
-
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors
by: Wu, Zihui, et al.
Published: (2024) -
InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences
by: Zheng, Hongkai, et al.
Published: (2025) -
Variational Bayesian Imaging with an Efficient Surrogate Score-based Prior
by: Feng, Berthy T., et al.
Published: (2023) -
U-DAVI: Uncertainty-Aware Diffusion-Prior-Based Amortized Variational Inference for Image Reconstruction
by: Varshney, Ayush, et al.
Published: (2026) -
Provable Probabilistic Imaging using Score-Based Generative Priors
by: Sun, Yu, et al.
Published: (2023)