[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

[NeurIPS 2022, T-PAMI 2023] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models

[CVPR 2021] Teachers Do More Than Teach: Compressing Image-to-Image Models (CAT)

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

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

Portrait Drawing Generation, ICME 2021, BEST DEMO RUNNER UP AWARD

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.

this is the code implements by Team JittorAnyting for jittor challenge competition 2023

Experimentación con Redes Generativas Adversarias en busca de un modelo que genere carreteras realistas multimodales.

A new interactive digital home for an extinct species.

Gaugan in React