2021
A Sliced Wasserstein Loss for Neural Texture Synthesis
CVPR 2021poster
We address the problem of computing a textural loss based on the statistics extracted from the feature activations of a convolutional neural network optimized for object recognition (e.g. VGG-19). The underlying mathematical problem is the measure of the distance between two distributions in feature…