43 citations · 50 across the 4 of their papers we have counts for
4 papers
A Restoration Network as an Implicit Prior
Yuyang Hu, Mauricio Delbracio, Peyman Milanfar +1
Image denoisers have been shown to be powerful priors for solving inverse problems in imaging. In this work, we introduce a generalization of these methods that allows any image re…
Prompt-tuning latent diffusion models for inverse problems
Hyungjin Chung, Jong Chul Ye, Peyman Milanfar +1
We propose a new method for solving imaging inverse problems using text-to-image latent diffusion models as general priors. Existing methods using latent diffusion models for inver…
Deep Video Deblurring
Shuochen Su, Mauricio Delbracio, Jue Wang +3
Motion blur from camera shake is a major problem in videos captured by hand-held devices. Unlike single-image deblurring, video-based approaches can take advantage of the abundant…
Comparing Feature Detectors: A bias in the repeatability criteria, and how to correct it
Ives Rey-Otero, Mauricio Delbracio, Jean-Michel Morel
Most computer vision application rely on algorithms finding local correspondences between different images. These algorithms detect and compare stable local invariant descriptors c…