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CVPR2023顶会

Neural Preset for Color Style Transfer

Zhanghan Ke, Yuhao Liu, Lei Zhu, Nanxuan Zhao, Rynson W. H. Lau

2023年份
16顶会引用

摘要

NeuralPreset Figure 1. Our Color Style Transfer Results. (a) State-of-the-art methods PhotoNAS [1] and PhotoWCT 2 [7] produce distort textures (e.g., text in green box) and dissonant colors (e.g., content in orange box). Besides, they have long inference time even on the latest Nvidia RTX3090 GPU (red numbers in brackets). In contrast, our method avoids artifacts and is ∼28× faster. (b) Our method can produce faithful results on 8K images, but both PhotoNAS and PhotoWCT 2 run into the out-of-memory problem. Zoom in for better visualization.

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