CVPR2023

Neural Texture Synthesis with Guided Correspondence

Yang Zhou, Kaijian Chen, Rongjun Xiao, Hui Huang

Abstract

Figure 1. We propose an improved CNNMRF model. It can be used for example-based texture optimization with or without guidance maps (left). The newly defined loss function can also be applied to train generative networks, enabling real-time controlled synthesis (right).