1 citations · 3 across the 7 of their papers we have counts for
7 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…
The Unanticipated Asymmetry Between Perceptual Optimization and Assessment
Jiabei Zhang, Qi Wang, Siyu Wu +2
Perceptual optimization is primarily driven by the fidelity objective, which enforces both semantic consistency and overall visual realism, while the adversarial objective provides…
AdaptiveDrag: Semantic-Driven Dragging on Diffusion-Based Image Editing
DuoSheng Chen, Binghui Chen, Yifeng Geng +1
Recently, several point-based image editing methods (e.g., DragDiffusion, FreeDrag, DragNoise) have emerged, yielding precise and high-quality results based on user instructions. H…
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…