M2M: Learning to Enhance Low-Light Image from Model to Mobile FPGA

Ying Chen, Wei Wang, Wei Hu, Xin Xu. M2M: Learning to Enhance Low-Light Image from Model to Mobile FPGA. In Nadia Magnenat-Thalmann, Victoria Interrante, Daniel Thalmann, George Papagiannakis, Bin Sheng, Jinman Kim, Marina L. Gavrilova, editors, Advances in Computer Graphics - 38th Computer Graphics International Conference, CGI 2021, Virtual Event, September 6-10, 2021, Proceedings. Volume 13002 of Lecture Notes in Computer Science, pages 276-287, Springer, 2021. [doi]

@inproceedings{ChenWHX21,
  title = {M2M: Learning to Enhance Low-Light Image from Model to Mobile FPGA},
  author = {Ying Chen and Wei Wang and Wei Hu and Xin Xu},
  year = {2021},
  doi = {10.1007/978-3-030-89029-2_22},
  url = {https://doi.org/10.1007/978-3-030-89029-2_22},
  researchr = {https://researchr.org/publication/ChenWHX21},
  cites = {0},
  citedby = {0},
  pages = {276-287},
  booktitle = {Advances in Computer Graphics - 38th Computer Graphics International Conference, CGI 2021, Virtual Event, September 6-10, 2021, Proceedings},
  editor = {Nadia Magnenat-Thalmann and Victoria Interrante and Daniel Thalmann and George Papagiannakis and Bin Sheng and Jinman Kim and Marina L. Gavrilova},
  volume = {13002},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-89029-2},
}