activity
20242026
most citedSeeing the Unseen: A Frequency Prompt Guided Transformer for Image Restoration

1 citations · 1 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2026

ExpoMotion: A Large-Scale Benchmark and A Householder Projection Network for Multi-Exposure Fusion

Yao Liu, Lishen Qu, Shihao Zhou +6

Multi-Exposure Fusion (MEF) effectively extends dynamic range, but practical deployment is hindered by motion-induced ghosting and the scarcity of high-quality dynamic benchmarks.…

cs.CV2026

NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Professional Image Quality Assessment (Track 1)

Guanyi Qin, Jie Liang, Bingbing Zhang +50

In this paper, we present an overview of the NTIRE 2026 challenge on the 3rd Restore Any Image Model in the Wild, specifically focusing on Track 1: Professional Image Quality Asses…

cs.CV2026

NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: AI Flash Portrait (Track 3)

Ya-nan Guan, Shaonan Zhang, Hang Guo +55

In this paper, we present a comprehensive overview of the NTIRE 2026 3rd Restore Any Image Model (RAIM) challenge, with a specific focus on Track 3: AI Flash Portrait. Despite sign…

cs.CV2026

NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Multi-Exposure Image Fusion in Dynamic Scenes (Track 2)

Lishen Qu, Yao Liu, Jie Liang +32

This paper presents NTIRE 2026, the 3rd Restore Any Image Model (RAIM) challenge on multi-exposure image fusion in dynamic scenes. We introduce a benchmark that targets a practical…

cs.CV2026

It Takes Two: A Duet of Periodicity and Directionality for Burst Flicker Removal

Lishen Qu, Shihao Zhou, Jie Liang +3

Flicker artifacts, arising from unstable illumination and row-wise exposure inconsistencies, pose a significant challenge in short-exposure photography, severely degrading image qu…

cs.CV2025

BurstDeflicker: A Benchmark Dataset for Flicker Removal in Dynamic Scenes

Lishen Qu, Zhihao Liu, Shihao Zhou +5

Flicker artifacts in short-exposure images are caused by the interplay between the row-wise exposure mechanism of rolling shutter cameras and the temporal intensity variations of a…

cs.CV2025

FlareX: A Physics-Informed Dataset for Lens Flare Removal via 2D Synthesis and 3D Rendering

Lishen Qu, Zhihao Liu, Jinshan Pan +4

Lens flare occurs when shooting towards strong light sources, significantly degrading the visual quality of images. Due to the difficulty in capturing flare-corrupted and flare-fre…

cs.CV2025

AIM 2025 Challenge on High FPS Motion Deblurring: Methods and Results

George Ciubotariu, Florin-Alexandru Vasluianu, Zhuyun Zhou +44

This paper presents a comprehensive review of the AIM 2025 High FPS Non-Uniform Motion Deblurring Challenge, highlighting the proposed solutions and final results. The objective of…

cs.CV2024

Spread Your Wings: A Radial Strip Transformer for Image Deblurring

Duosheng Chen, Shihao Zhou, Jinshan Pan +3

Exploring motion information is important for the motion deblurring task. Recent the window-based transformer approaches have achieved decent performance in image deblurring. Note…

cs.CV2024

Harmonizing Light and Darkness: A Symphony of Prior-guided Data Synthesis and Adaptive Focus for Nighttime Flare Removal

Lishen Qu, Shihao Zhou, Jinshan Pan +3

Intense light sources often produce flares in captured images at night, which deteriorates the visual quality and negatively affects downstream applications. In order to train an e…

cs.CV2024★ 1 cited

Seeing the Unseen: A Frequency Prompt Guided Transformer for Image Restoration

Shihao Zhou, Jinshan Pan, Jinglei Shi +3

How to explore useful features from images as prompts to guide the deep image restoration models is an effective way to solve image restoration. In contrast to mining spatial relat…