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cs.CV2026

LoopMoEVR: Loop-Based Degradation-Aware Mixture-of-Experts for Unified UHD Video Restoration

Yucheng Xin, Runci Bai, Yongcong Wang +5

Recently, unified high-definition image restoration has attracted considerable attention; however, existing models tend to excessively increase their depth in pursuit of improved g…

cs.CV2026

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…

cs.GR2026

LoBoFit: Flexible Garment Refitting via Local Bone Mapping Blending

Meng Zhang, Yu Xin, Feiya Guo +3

Garment refitting, the task of adapting a garment from a source to a target avatar, must preserve the original design features and fine-scale wrinkles, a challenge exacerbated by s…

cs.CV2026

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-…

cs.CV2026

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…