Collection of generative models in Pytorch version.
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Updated
Apr 12, 2020 - Python
Collection of generative models in Pytorch version.
Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.
[NeurIPS 2022, T-PAMI 2023] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
Tensorflow implementation for Conditional Convolutional Adversarial Networks.
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.
[MICCAI'21] [Tensorflow] Retinal Vessel Segmentation using a Novel Multi-scale Generative Adversarial Network
The implementation of 'Image synthesis via semantic composition', ICCV2021.
Text to Image Synthesis using Generative Adversarial Networks
Generative Adversarial Networks in TensorFlow 2.0
PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)
🎨 Anime generation with GANs.
ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods
Few-shot image translation method working on unstructured environments. ECCV 2022
Conditional Sequence Generative Adversarial Network trained with policy gradient, Implementation in Tensorflow
Code implementation for paper that "ACSCS: Crowd Counting via Adversarial Cross-Scale Consistency Pursuit"; This is method of Crowd counting by conditional generation adversarial networks
An enhanced zi2zi project with word-oriented data augmentation, feature combination, and transfer learning.
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