Neural Texture Synthesis With Guided Correspondence

1 code implementation • CVPR 2023 • Yang Zhou, Kaijian Chen, Rongjun Xiao, Hui Huang

More importantly, the Guided Correspondence loss can function as a general textural loss in, e. g., training generative networks for real-time controlled synthesis and inversion-based single-image editing.

Texture Synthesis