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.
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Official Code for DragGAN (SIGGRAPH 2023)
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May 18, 2024 - Python
SoftVC VITS Singing Voice Conversion
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Nov 11, 2023 - Python
Image-to-Image Translation in PyTorch
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Bringing Old Photo Back to Life (CVPR 2020 oral)
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Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
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Sep 12, 2023 - Lua
Image-to-image translation with conditional adversarial nets
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Jun 6, 2021 - Lua
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
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Mar 23, 2023 - Jupyter Notebook
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.
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Aug 6, 2024 - Jupyter Notebook
Synthesizing and manipulating 2048x1024 images with conditional GANs
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Nov 4, 2024 - Python
Curated list of awesome GAN applications and demo
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Aug 24, 2023
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
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Oct 31, 2020 - Python
Interactive Image Generation via Generative Adversarial Networks
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Aug 5, 2020 - Python
Compute FID scores with PyTorch.
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Jul 3, 2024 - Python
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
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Jan 12, 2025 - Python
[CVPR2020] Adversarial Latent Autoencoders
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Jan 23, 2021 - Python
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
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Aug 9, 2024 - Python
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
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Jun 27, 2024 - Python
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
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Apr 17, 2022 - Jupyter Notebook
Released June 10, 2014
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