most citedR3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks for Image Denoising via Residual Recovery

2 citations · 2 across the 1 of their papers we have counts for

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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…