USWformer: Efficient Sparse Wavelet Transformer for Underwater Image Enhancement
IEEE/CVF Winter Conference on Applications of Computer Vision（2025）
关键词
Transformation Efficiency,Image Enhancement,Underwater Image,Underwater Image Enhancement,Sparse Wavelet,Frequency Domain,Attention Mechanism,Spatial Domain,Feed-forward Network,High-quality Images,Attention Scores,Long-range Dependencies,Multi-scale Network,Sparsity,Image Reconstruction,Spatial Dimensions,Wavelet Transform,Real-world Datasets,Sparse Representation,Low-frequency Components,Autonomous Underwater Vehicles,Self-attention Mechanism,Representative Scale,Global Representation,Image Enhancement Methods,Depth Estimation,Depthwise Convolution,White Balance,Detail Preservation,Transformer Architecture
AI 理解论文
溯源树
样例
生成溯源树，研究论文发展脉络
Chat Paper
正在生成论文摘要