23 citations · 62 across the 16 of their papers we have counts for
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RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network
Rao Muhammad Umer, Christian Micheloni
Modern digital cameras and smartphones mostly rely on image signal processing (ISP) pipelines to produce realistic colored RGB images. However, compared to DSLR cameras, low-qualit…
A Deep Residual Star Generative Adversarial Network for multi-domain Image Super-Resolution
Rao Muhammad Umer, Asad Munir, Christian Micheloni
Recently, most of state-of-the-art single image super-resolution (SISR) methods have attained impressive performance by using deep convolutional neural networks (DCNNs). The existi…
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
Goutam Bhat, Martin Danelljan, Radu Timofte +25
This paper reviews the NTIRE2021 challenge on burst super-resolution. Given a RAW noisy burst as input, the task in the challenge was to generate a clean RGB image with 4 times hig…