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Stanford University
- Palo Alto, CA
- http://web.stanford.edu/~ekcole/
Stars
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper
Implementation related to the paper "Analysis of deep complex-valued convolutional neural networks for MRI reconstruction and phase-focused applications" by Elizabeth K. Cole et. al; Toolbox for co…
Resources and Implementations of Generative Adversarial Nets which are focusing on how to stabilize training process and generate high quality images: DCGAN, WGAN, EBGAN, BEGAN, etc.