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eess.IV2022★ 1 cited
REPNP: Plug-and-Play with Deep Reinforcement Learning Prior for Robust Image Restoration
Chong Wang, Rongkai Zhang, Saiprasad Ravishankar +1
Image restoration schemes based on the pre-trained deep models have received great attention due to their unique flexibility for solving various inverse problems. In particular, th…
eess.IV2021★ 2 cited
R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks for Image Denoising via Residual Recovery
Rongkai Zhang, Jiang Zhu, Zhiyuan Zha +2
State-of-the-art image denoisers exploit various types of deep neural networks via deterministic training. Alternatively, very recent works utilize deep reinforcement learning for…