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 blur dataset for learning and benchmarking deblurring algorithms.The European Conference on Computer Vision (ECCV), pages 184–201
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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.