The author's officially unofficial PyTorch BigGAN implementation.
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Updated
Jul 19, 2023 - Python
The author's officially unofficial PyTorch BigGAN implementation.
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)
Official implementation of FQ-GAN
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Data Augmentation optimized for GAN
Create music videos using CLIP with BigGAN, DALL-E and StyleGAN
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Generate Amazing Anime Pictures With BigGAN. Just Have Fun !!!
Pytorch implementation of BigGAN Generator with pretrained weights
Reimplementation of the Paper: Large Scale GAN Training for High Fidelity Natural Image Synthesis
Colabs for text prompt steered image generators
Using Deep Learning to create fake images of games using PyTorch
Music visualizer using audio and semantic analysis to explore BigGAN latent space.
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