34 citations · 34 across the 4 of their papers we have counts for
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cs.CV2023
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…
cs.CV2021
Stochastic Actor-Executor-Critic for Image-to-Image Translation
Ziwei Luo, Jing Hu, Xin Wang +5
Training a model-free deep reinforcement learning model to solve image-to-image translation is difficult since it involves high-dimensional continuous state and action spaces. In t…
cs.CV2020★ 34 cited
Robust Multimodal Image Registration Using Deep Recurrent Reinforcement Learning
Shanhui Sun, Jing Hu, Mingqing Yao +4
The crucial components of a conventional image registration method are the choice of the right feature representations and similarity measures. These two components, although elabo…