1 citations · 2 across the 8 of their papers we have counts for
10 papers
Pixel Ignores, Superpixel Sees: Adverse Weather Image Restoration via Semantic-Center SSM
Dayu Li, Shihao Zhou, Leizhi Shu +3
Adverse weather image restoration aims to recover clear visibility from degraded images in complex weather conditions. Existing works attempt to address this problem by modeling re…
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.…
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…
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…
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…
Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image Restoration
Shihao Zhou, Dayu Li, Jinshan Pan +3
Transformer-based approaches have gained significant attention in image restoration, where the core component, i.e, Multi-Head Attention (MHA), plays a crucial role in capturing di…
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…
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…
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…
Look-Around Before You Leap: High-Frequency Injected Transformer for Image Restoration
Shihao Zhou, Duosheng Chen, Jinshan Pan +1
Transformer-based approaches have achieved superior performance in image restoration, since they can model long-term dependencies well. However, the limitation in capturing local i…