HIME: Efficient Headshot Image Super-Resolution with Multiple Exemplars

no code implementations • 28 Mar 2022 • Xiaoyu Xiang, Jon Morton, Fitsum A Reda, Lucas Young, Federico Perazzi, Rakesh Ranjan, Amit Kumar, Andrea Colaco, Jan Allebach

Compared with previous methods, our network can effectively handle the misalignment between the input and the reference without requiring facial priors and learn the aggregated reference set representation in an end-to-end manner.

Image Super-Resolution

Feature-Align Network with Knowledge Distillation for Efficient Denoising

no code implementations • 2 Mar 2021 • Lucas D. Young, Fitsum A. Reda, Rakesh Ranjan, Jon Morton, Jun Hu, Yazhu Ling, Xiaoyu Xiang, David Liu, Vikas Chandra

(2) A novel Feature Matching Loss that allows knowledge distillation from large denoising networks in the form of a perceptual content loss.

Efficient Neural Network Image Denoising +2