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  • NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results
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NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results

Fuente: arXiv
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Bibliographic Details
Main Authors: Lee, Sangmin, Park, Eunpil, Canelo, Angel, Park, Hyunhee, Kim, Youngjo, Chun, Hyung-Ju, Jin, Xin, Li, Chongyi, Guo, Chun-Le, Timofte, Radu, Wu, Qi, Qiu, Tianheng, Dong, Yuchun, Ding, Shenglin, Pan, Guanghua, Zhou, Weiyu, Hu, Tao, Feng, Yixu, Dai, Duwei, Cao, Yu, Wu, Peng, Dong, Wei, Zhang, Yanning, Yan, Qingsen, Larsen, Simon J., Jiang, Ruixuan, Xu, Senyan, Wang, Xingbo, Lu, Xin, Conde, Marcos V., Abad-Hernandez, Javier, Garcıa-Lara, Alvaro, Feijoo, Daniel, Garcıa, Alvaro, Xiao, Zeyu, Li, Zhuoyuan
Format: Preprint
Published: 2025
Subjects:
Image and Video Processing
Artificial Intelligence
Computer Vision and Pattern Recognition
Online Access:
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Internet

https://arxiv.org/abs/2505.12089

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