Neural style transfer is an optimization technique used to take two images—a content image and a style reference image (such as an artwork by a famous painter)—and blend them together so the output image looks like the content image, but “painted” in the style of the style reference image.
python3 neural_style_transfer.py --model models/eccv16/the_wave.t7 --image images/elon.jpg
python3 neural_style_transfer_examine.py --models models --image images/elon.jpg
python3 neural_style_transfer_video.py --models models
