Homographic Transformation
LUT acceleration is a technique to cache learned neural networks into look-up tables for highly efficient inference. Please learn more about LUT acceleration at MuLUT.
@InProceedings{Li_2022_ECCV,
author = {Li, Jiacheng and Chen, Chang and Cheng, Zhen and Xiong, Zhiwei},
title = {MuLUT: Cooperating Multiple Look-Up Tables for Efficient Image Super-Resolution},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
year = {2022},
}
@arxiv{Li_2023_DNN_LUT,
author = {Li, Jiacheng and Chen, Chang and Cheng, Zhen and Xiong, Zhiwei},
title = {Toward {DNN} of {LUTs}: Learning Efficient Image Restoration with Multiple Look-Up Tables},
booktitle = {arxiv},
year = {2023},
}
@InProceedings{Li_2023_CVPR,
author = {Li, Jiacheng and Chen, Chang and Huang, Wei and Lang, Zhiqiang and Song, Fenglong and Yan, Youliang and Xiong, Zhiwei},
title = {Learning Steerable Function for Efficient Image Resampling},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2023},
pages = {5866-5875}
}
We would like to thank colleagues at Noah's Ark Lab for helpful discussions.