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.
Hinet: Half instance normalization network for image restoration.The IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), pages 182–192
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
baseline 1
citation-polarity summary
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1roles
baseline 1polarities
baseline 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.