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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

LoopLUT: 3D Lookup Tables with Progressive Region Refinement for Real-Time 4K Image Enhancement

Yang Ye, Jiajun Ma, Chen Wu +5

Color enhancement of 4K images must meet a quality target under a tight compute budget. Three-dimensional lookup tables (3D LUTs) dominate real-time enhancement because they decide…

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.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

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…

cs.CV2025

A PDE-Based Image Dehazing Method via Atmospheric Scattering Theory

Liubing Hu, Pu Wang, Guangwei Gao +2

This paper introduces a novel partial differential equation (PDE) framework for single-image dehazing. We embed the atmospheric scattering model into a PDE featuring edge-preservin…