Showing 1-10 of 10 projects
StyleGAN is an official TensorFlow implementation of a generative adversarial network (GAN) for creating photorealistic images.
A powerful tool for attribute-conditioned exploration of StyleGAN-generated images using Conditional Continuous Normalizing Flows.
Generates high-resolution portrait style transfer using the Dual StyleGAN model.
A collection of pre-trained StyleGAN 2 models for AI-powered generative art and image synthesis.
A powerful GAN-based text-to-image synthesis model for fast large-scale image generation.
A PyTorch implementation of StyleGAN for domain adaptation, using pre-trained models to generate new images.
A data-centric approach to generating photorealistic human images using StyleGAN, a powerful generative AI model.
Official implementation of the ReStyle StyleGAN encoder, a tool for iteratively refining StyleGAN image generation.
Official implementation of HyperStyle, a StyleGAN inversion method using hypernetworks for real image editing.
Official PyTorch implementation of a CVPR 2022 paper on GAN-supervised dense visual alignment.
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