activity
20242026
most citedNTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Results

54 citations · 54 across the 1 of their papers we have counts for

collaborators

22 papers

cs.CV202654 cited

NTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Results

Zheng Chen, Zongwei Wu, Eduard Zamfir +85

This paper reviews the NTIRE 2024 challenge on image super-resolution (4), highlighting the solutions proposed and the outcomes obtained. The challenge involves generating…

cs.CV2026

PRISM: Prior Rectification and Uncertainty-Aware Structure Modeling for Diffusion-Based Text Image Super-Resolution

Zihang Xu, Xiaoyang Liu, Zheng Chen +2

Text image super-resolution (Text-SR) requires more than visually plausible detail synthesis: slight errors in stroke topology may alter character identity and break readability. E…

cs.CV2026

DVD-Quant: Data-free Video Diffusion Transformers Quantization

Zhiteng Li, Hanxuan Li, Junyi Wu +6

Diffusion Transformers (DiTs) have emerged as the state-of-the-art architecture for video generation, yet their computational and memory demands hinder practical deployment. While…

cs.CV2026

Human Body Restoration with One-Step Diffusion Model and A New Benchmark

Jue Gong, Jingkai Wang, Zheng Chen +4

Human body restoration, as a specific application of image restoration, is widely applied in practice and plays a vital role across diverse fields. However, thorough research remai…

cs.CV2026

Light Up Your Face: A Physically Consistent Dataset and Diffusion Model for Face Fill-Light Enhancement

Jue Gong, Zihan Zhou, Jingkai Wang +3

Face fill-light enhancement (FFE) brightens underexposed faces by adding virtual fill light while keeping the original scene illumination and background unchanged. Most face religh…

cs.CV2026

HAODiff: Human-Aware One-Step Diffusion via Dual-Prompt Guidance

Jue Gong, Tingyu Yang, Jingkai Wang +5

Human-centered images often suffer from severe generic degradation during transmission and are prone to human motion blur (HMB), making restoration challenging. Existing research l…