AI RESEARCH
UHD Image Deblurring via Autoregressive Flow with Ill-conditioned Constraints
arXiv CS.CV
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ArXi:2603.10517v1 Announce Type: new Ultra-high-definition (UHD) image deblurring poses significant challenges for UHD restoration methods, which must balance fine-grained detail recovery and practical inference efficiency. Although prominent discriminative and generative methods have achieved remarkable results, a trade-off persists between computational cost and the ability to generate fine-grained detail for UHD image deblurring tasks. To further alleviate these issues, we propose a novel autoregressive flow method for UHD image deblurring with an ill-conditioned constraint.