Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)
A pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"
A curated list of recources (papers, repositories etc.) about blind face restoration / face hallucination methods.
Low-Resolution Face Recognition Based on Identity-Preserved Face Hallucination (2019, ICIP)
Edge and Identity Preserving Network for Face Super-Resolution (EIPNet, Neurocomputing2021)
a simple try to reproduce the paper: Super-Identity Convolutional Neural Network for Face Hallucination
Pytorch implementation of WIPA: Super-resolution of very low-resolution face images with a Wavelet Integrated, Identity Preserving, Adversarial Network.
Can we perform face hallucination using limited set of unaligned pairs?
Implementation of our paper "Super-resolution with adversarial loss on the feature maps of the generated high-resolution image" (IET Electronics Letters 2022)
Residual Attention Network for Super Resolution
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