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

54 citations · 56 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2026

Training-Free Model Ensemble for Single-Image Super-Resolution via Strong-Branch Compensation

Gengjia Chang, Xining Ge, Weijun Yuan +4

Single-image super-resolution has progressed from deep convolutional baselines to stronger Transformer and state-space architectures, yet the corresponding performance gains typica…

cs.CV2026

Beyond Model Design: Data-Centric Training and Self-Ensemble for Gaussian Color Image Denoising

Gengjia Chang, Xining Ge, Weijun Yuan +4

This paper presents our solution to the NTIRE 2026 Image Denoising Challenge (Gaussian color image denoising at fixed noise level ). Rather than proposing a new restoration…

cs.CV2026

Dual-Branch Remote Sensing Infrared Image Super-Resolution

Xining Ge, Gengjia Chang, Weijun Yuan +6

Remote sensing infrared image super-resolution aims to recover sharper thermal observations from low-resolution inputs while preserving target contours, scene layout, and radiometr…

cs.CV2026

CLIP-Guided Data Augmentation for Night-Time Image Dehazing

Xining Ge, Weijun Yuan, Gengjia Chang +2

Nighttime image dehazing faces a more complex degradation pattern than its daytime counterpart, as haze scattering couples with low illumination, non-uniform lighting, and strong l…

cs.CV2026

The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview

Kai Liu, Haoyang Yue, Zeli Lin +65

This paper presents the NTIRE 2026 Remote Sensing Infrared Image Super-Resolution (x4) Challenge, one of the associated challenges of NTIRE 2026. The challenge aims to recover high…

cs.CV2026

The Fourth Challenge on Image Super-Resolution (4) at NTIRE 2026: Benchmark Results and Method Overview

Zheng Chen, Kai Liu, Jingkai Wang +150

This paper presents the NTIRE 2026 image super-resolution (4) challenge, one of the associated competitions of the NTIRE 2026 Workshop at CVPR 2026. The challenge aims to r…

cs.CV2025

VQualA 2025 Challenge on Face Image Quality Assessment: Methods and Results

Sizhuo Ma, Wei-Ting Chen, Qiang Gao +56

Face images play a crucial role in numerous applications; however, real-world conditions frequently introduce degradations such as noise, blur, and compression artifacts, affecting…

cs.CV2025

NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results

Lei Sun, Andrea Alfarano, Peiqi Duan +85

This paper presents an overview of NTIRE 2025 the First Challenge on Event-Based Image Deblurring, detailing the proposed methodologies and corresponding results. The primary goal…

cs.CV2025

The Tenth NTIRE 2025 Image Denoising Challenge Report

Lei Sun, Hang Guo, Bin Ren +91

This paper presents an overview of the NTIRE 2025 Image Denoising Challenge (σ = 50), highlighting the proposed methodologies and corresponding results. The primary objective is to…

cs.CV2025

The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report

Bin Ren, Hang Guo, Lei Sun +143

This paper presents a comprehensive review of the NTIRE 2025 Challenge on Single-Image Efficient Super-Resolution (ESR). The challenge aimed to advance the development of deep mode…

cs.CV2025★ 2 cited

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results

Zheng Chen, Kai Liu, Jue Gong +108

This paper presents the NTIRE 2025 image super-resolution (4) challenge, one of the associated competitions of the 10th NTIRE Workshop at CVPR 2025. The challenge aims to r…

cs.CV2024★ 54 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…