7 papers
Loop-Mamba: A Loop Mamba with Degradation-Aware and Shared Memory for Old Photo Restoration
Runci Bai, Yucheng Xin, Pu Wang +8
Old photographs often suffer from multiple coupled degradations, including scratches, cracks, fading, blur, noise, and missing regions, severely degrading both visual quality and s…
MoCRA: Mixture of Compositional Rank-1 Atoms for 4K All-in-One Video Restoration
Yongcong Wang, Pu Wang, Hingchin Chen +8
Real-world video arrives hazy, rainy, dark, or noisy, and a deployable restorer faces three demands at once: no degradation label, native 4K output, and stability in playback. Exis…
Interactive State Space Model with Cross-Modal Local Scanning for Depth Super-Resolution
Chen Wu, Ling Wang, Zhuoran Zheng +4
Guided depth super-resolution (GDSR) reconstructs HR depth maps from LR inputs with HR RGB guidance. Existing methods either model each modality independently or rely on computatio…
LiBrA-Net: Lie-Algebraic Bilateral Affine Fields for Real-Time 4K Video Dehazing
Yongcong Wang, Chengchao Shen, Guangwei Gao +5
Currently, there is a gap in the field of ultra-high-definition (UHD) video dehazing due to the lack of a benchmark for evaluation. Furthermore, existing video dehazing methods can…
RPBA-Net: An Interpretable Residual Pyramid Bilateral Affine Network for RAW-Domain ISP Enhancement
Yucheng Xin, Wu Chen, Xiang Chen +7
To address module fragmentation, uninterpretable mappings, and deployment constraints in RAW-domain demosaicing, color correction, and detail enhancement, this paper proposes RPBA-…
UHD Image Deblurring via Autoregressive Flow with Ill-conditioned Constraints
Yucheng Xin, Dawei Zhao, Xiang Chen +6
Ultra-high-definition (UHD) image deblurring poses significant challenges for UHD restoration methods, which must balance fine-grained detail recovery and practical inference effic…