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Generative Adversarial Network

Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network. GANs have been shown to be powerful generative models and are able to successfully generate new data given a large enough training dataset.

Here are 3,256 public repositories matching this topic...

Official Code for DragGAN (SIGGRAPH 2023)

  • UpdatedMay 18, 2024
  • Python
Bringing-Old-Photos-Back-to-Life

A list of all named GANs!

  • UpdatedOct 6, 2023
  • Python

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

  • UpdatedSep 12, 2023
  • Lua
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OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

  • UpdatedAug 6, 2024
  • Jupyter Notebook

Synthesizing and manipulating 2048x1024 images with conditional GANs

  • UpdatedNov 4, 2024
  • Python

Curated list of awesome GAN applications and demo

  • UpdatedAug 24, 2023

Interactive Image Generation via Generative Adversarial Networks

  • UpdatedAug 5, 2020
  • Python

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

  • UpdatedJan 12, 2025
  • Python
PyTorch-StudioGAN

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

  • UpdatedAug 9, 2024
  • Python

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

  • UpdatedJun 27, 2024
  • Python

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

  • UpdatedApr 17, 2022
  • Jupyter Notebook

Released June 10, 2014

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Website
github.com/topics/generative-adversarial-network
Wikipedia
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Related topics

deep-learning neural-network

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