DeblurFlow reformulates flow matching trajectories so the vector field matches the blur-to-clean residual, enabling LoRA-adapted pretrained flow models to perform blind motion deblurring with both high PSNR and perceptual quality.
Real-world efficient blind motion deblurring via blur pixel discretization.The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 25879–25888
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Restoration-Aligned Generative Flow Models for Blind Motion Deblurring
DeblurFlow reformulates flow matching trajectories so the vector field matches the blur-to-clean residual, enabling LoRA-adapted pretrained flow models to perform blind motion deblurring with both high PSNR and perceptual quality.