HDCFM

ACM MM 2022

The code for 'SDRTV-to-HDRTV via Hierarchical Dynamic Context Feature Mapping'.

Citation

If you find the code helpful in your research or work, please cite our paper:

@inproceedings{10.1145/3503161.3548043,
author = {He, Gang and Xu, Kepeng and Xu, Li and Wu, Chang and Sun, Ming and Wen, Xing and Tai, Yu-Wing},
title = {SDRTV-to-HDRTV via Hierarchical Dynamic Context Feature Mapping},
year = {2022},
isbn = {9781450392037},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3503161.3548043},
doi = {10.1145/3503161.3548043},
booktitle = {Proceedings of the 30th ACM International Conference on Multimedia},
pages = {2890–2898},
numpages = {9},
keywords = {neural network, high dynamic range, dynamic convolution, standard dynamic range},
location = {Lisboa, Portugal},
series = {MM '22}
}

Our code is built on HDRTVNet. We thank the authors for sharing their codes.