4 papers
OpenRR-1k: A Scalable Dataset for Real-World Reflection Removal
Kangning Yang, Ling Ouyang, Huiming Sun +5
Reflection removal technology plays a crucial role in photography and computer vision applications. However, existing techniques are hindered by the lack of high-quality in-the-wil…
F2T2-HiT: A U-Shaped FFT Transformer and Hierarchical Transformer for Reflection Removal
Jie Cai, Kangning Yang, Ling Ouyang +5
Single Image Reflection Removal (SIRR) technique plays a crucial role in image processing by eliminating unwanted reflections from the background. These reflections, often caused b…
OpenRR-5k: A Large-Scale Benchmark for Reflection Removal in the Wild
Jie Cai, Kangning Yang, Ling Ouyang +4
Removing reflections is a crucial task in computer vision, with significant applications in photography and image enhancement. Nevertheless, existing methods are constrained by the…
Degradation-Aware Image Enhancement via Vision-Language Classification
Jie Cai, Kangning Yang, Jiaming Ding +5
Image degradation is a prevalent issue in various real-world applications, affecting visual quality and downstream processing tasks. In this study, we propose a novel framework tha…