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20232026
most citedSelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency

2 citations · 3 across the 9 of their papers we have counts for

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Showing 2026 · cs.CVShow all

5 papers · 2 filters

cs.CV2026

Bidirectional Cross-frequency Domain Interaction Network for UHD Low-Light Image Enhancement

Bo Fu, Hai Chi, Liyan Wang +5

Existing Ultra-High-Definition (UHD) low-light image enhancement (LLIE) methods typically rely on either spatial- or frequency-domain modeling, or independently process different f…

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

Ultra-High-Definition Restoration Transformers with Correlation Matching Transformation

Cong Wang, Liyan Wang, Jinshan Pan +4

We propose UHDformer++, a general Transformer-based framework to solve numerous Ultra-High-Definition (UHD) image restoration tasks. UHDformer++ operates across coordinated lea…

cs.CV2026

UHD-GPGNet: UHD Video Denoising via Gaussian-Process-Guided Local Spatio-Temporal Modeling

Weiyuan He, Chen Wu, Pengwen Dai +6

Ultra-high-definition (UHD) video denoising requires simultaneously suppressing complex spatio-temporal degradations, preserving fine textures and chromatic stability, and maintain…

cs.CV2026

Neural Discrimination-Prompted Transformers for Efficient UHD Image Restoration and Enhancement

Cong Wang, Jinshan Pan, Liyan Wang +2

We propose a simple yet effective UHDPromer, a neural discrimination-prompted Transformer, for Ultra-High-Definition (UHD) image restoration and enhancement. Our UHDPromer is inspi…