Name: Richard Zhang
Type: User
Company: @adobe
Bio: Research Scientist @adobe | PhD UC Berkeley || Computer vision | deep learning | graphics | machine learning
Twitter: rzhang88
Location: San Francisco, CA
Blog: richzhang.github.io
Richard Zhang's Projects
Code for running real vs fake experiments on Amazon Mechanical Turk
Repository has been moved: https://github.com/adobe/antialiased-cnns
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
PyTorch reimplementation of Interactive Deep Colorization
Markdown-formatted Creative Commons licenses
A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)
Code for the paper: Detecting Photoshopped Faces by Scripting Photoshop
LPIPS metric. pip install lpips
Image-to-image translation using conditional adversarial nets
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.
Documentation templates for use in open source and open development projects
Software that can perform photorealistic style transfer without the need of any post-processing steps.
Simple project webpage template. Originally used in Colorful Image Colorization. ECCV, 2016.