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[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
[CVPR 2021] Teachers Do More Than Teach: Compressing Image-to-Image Models (CAT)
Anime face generation: from simple GAN to GauGAN Conditional Generation
Generative adversarial network is used to train neural network model to create real image from drawing. Pix2pix tensor flow code is refereed and paint tool is created to interpret trained model results
This Repository Contains Solution to the Assignments of the Generative Adversarial Networks (GANs) Specialization from deeplearning.ai on Coursera Taught by Sharon Zhou, Eda Zhou, Eric Zelikman
Color Palette for easy use of Nvidias GauGAN with Photoshop
Generative models that generate paintings in the style of Bob Ross based on segmentation images.
Experimentación con Redes Generativas Adversarias en busca de un modelo que genere carreteras realistas multimodales.
this is the code implements by Team JittorAnyting for jittor challenge competition 2023
A new interactive digital home for an extinct species.