no code implementations • NeurIPS 2021 • Qian Ning, Weisheng Dong, Xin Li, Jinjian Wu, Guangming Shi
Specifically, we introduce variance estimation characterizing the uncertainty on a pixel-by-pixel basis into SISR solutions so the targeted pixels in a high-resolution image (mean) and their corresponding uncertainty (variance) can be learned simultaneously.
no code implementations • 6 Apr 2021 • Qian Ning, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi
Similar to the success of NAS in high-level vision tasks, it is possible to find a memory and computationally efficient solution via NAS with highly competent denoising performance.
no code implementations • 14 Sep 2020 • Qian Ning, Weisheng Dong, Guangming Shi, Leida Li, Xin Li
Deep neural networks (DNNs) based methods have achieved great success in single image super-resolution (SISR).