Controlling Neural Style Transfer with Deep Reinforcement Learning

Chengming Feng, Jing Hu, Xin Wang +5

Controlling the degree of stylization in the Neural Style Transfer (NST) is a little tricky since it usually needs hand-engineering on hyper-parameters. In this paper, we propose t…