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cs.CV2026
CLIMB-flow: Coupled Linear Inverse posterior sampling via Multiscale-Based flow
Zeqiu Yu, Ruizhi Yuan, Mathews Jacob
Diffusion models are now widely used in Bayesian inverse problems in imaging as priors, where latent diffusion models are often used for larger scale problems to keep the computati…
eess.IV2026
Regularized joint reconstruction and slab combination for accelerated three-dimensional multi-slab diffusion-weighted imaging using multi-scale energy models
Reza Ghorbani, Jyothi Rikhab Chand, Chu-Yu Lee +2
This work presents Energy-based Profile Encoding, EPEN, a joint reconstruction framework for high-resolution diffusion-weighted MRI from undersampled 3D multi-slab k-space acquisit…
eess.IV2026
Annealed Langevin Posterior Sampling (ALPS): A Rapid Algorithm for Image Restoration with Multiscale Energy Models
Jyothi Rikhab Chand, Mathews Jacob
Solving inverse problems in imaging requires models that support efficient inference, uncertainty quantification, and principled probabilistic reasoning. Energy-Based Models (EBMs)…