Collection of generative models in Pytorch version.
#计算机科学#Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
#计算机科学#Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Simple Implementation of many GAN models with PyTorch.
#计算机科学#My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.
翻译 - 我对香草GAN，cGAN，DCGAN等各种GAN（生成对抗网络）架构的实现。
[NeurIPS 2022, T-PAMI 2023] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
Tensorflow implementation for Conditional Convolutional Adversarial Networks.
#计算机科学#In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).
Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.
Pytorch implementation of pix2pix for various datasets.
Official PyTorch implementation of Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation (ICLR 2019)
[MICCAI'21] [Tensorflow] Retinal Vessel Segmentation using a Novel Multi-scale Generative Adversarial Network
#计算机科学#The implementation of 'Image synthesis via semantic composition', ICCV2021.
#计算机科学#Generative Adversarial Networks in TensorFlow 2.0
#计算机科学#Text to Image Synthesis using Generative Adversarial Networks
🎨 Anime generation with GANs.
PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)
ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods