1 citations · 1 across the 5 of their papers we have counts for
6 papers
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…
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…
ICFRNet: Image Complexity Prior Guided Feature Refinement for Real-time Semantic Segmentation
Xin Zhang, Teodor Boyadzhiev, Jinglei Shi +1
In this paper, we leverage image complexity as a prior for refining segmentation features to achieve accurate real-time semantic segmentation. The design philosophy is based on the…
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…