MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results

Xin Jin,Chunle Guo,Xiaoming Li,Zongsheng Yue,Chongyi Li,Shangchen Zhou,Ruicheng Feng,Yuekun Dai,Peiqing Yang,Chen Change Loy, Ruoqi Li,Chang Liu, Ziyi Wang, Yao Du, Jingjing Yang,Long Bao, Heng Sun,Xiangyu Kong,Xiaoxia Xing, Jinlong Wu,Yuanyang Xue, Hyunhee Park, Sejun Song, Changho Kim, Jingfan Tan,Wenhan Luo,Zikun Liu, Mingde Qiao,Junjun Jiang,Kui Jiang, Yao Xiao, Chuyang Sun, Jinhui Hu,Weijian Ruan,Yubo Dong,Kai Chen,Hyejeong Jo,Jiahao Qin, Bingjie Han,Pinle Qin,Rui Chai, Pengyuan Wang

Computer Vision and Pattern Recognition（2024）

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Image Sensor,Camera System,Mobile Platform,Neural Network,Final Results,Learning Rate,Insufficient Data,Adam Optimizer,Data Augmentation,Paired Data,Clear Image,Spatial Attention,Noise Model,U-Net Architecture,L1 Loss,Noise Parameters,Camera Model,Color Loss,Domain Gap,Multi-head Self-attention,AdamW Optimizer,Low-light Environments,Cosine Annealing,Patch Size,Feature Extraction Capability,Synthetic Noise

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