Zobrazeno 1 - 5
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pro vyhledávání: '"Chen, Duosheng"'
Recently, several point-based image editing methods (e.g., DragDiffusion, FreeDrag, DragNoise) have emerged, yielding precise and high-quality results based on user instructions. However, these methods often make insufficient use of semantic informat
Externí odkaz:
http://arxiv.org/abs/2410.12696
Exploring motion information is important for the motion deblurring task. Recent the window-based transformer approaches have achieved decent performance in image deblurring. Note that the motion causing blurry results is usually composed of translat
Externí odkaz:
http://arxiv.org/abs/2404.00358
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 effective flare removal network, a reliable dataset is essential. The m
Externí odkaz:
http://arxiv.org/abs/2404.00313
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 relations within images as prompt, which leads to characteristics of differ
Externí odkaz:
http://arxiv.org/abs/2404.00288
Transformer-based approaches have achieved superior performance in image restoration, since they can model long-term dependencies well. However, the limitation in capturing local information restricts their capacity to remove degradations. While exis
Externí odkaz:
http://arxiv.org/abs/2404.00279