High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network

@article{Liang2021HighResolutionPI,
  title={High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network},
  author={Jie Liang and Huiyu Zeng and Lei Zhang},
  journal={2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2021},
  pages={9387-9395}
}
  • Jie LiangHuiyu ZengLei Zhang
  • Published 19 May 2021
  • Computer Science
  • 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Existing image-to-image translation (I2IT) methods are either constrained to low-resolution images or long inference time due to their heavy computational burden on the convolution of high-resolution feature maps. In this paper, we focus on speeding-up the high-resolution photorealistic I2IT tasks based on closed-form Laplacian pyramid decomposition and reconstruction. Specifically, we reveal that the attribute transformations, such as illumination and color manipulation, relate more to the low… 

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