gan

Synthetic data generators for tabular and time-series data

Measures and metrics for image2image tasks. PyTorch.

A curated list of Best Artificial Intelligence Resources

High-fidelity performance metrics for generative models in PyTorch

PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

[IEEE TIP] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

List of Molecular and Material design using Generative AI and Deep Learning

An Open-Sourced LLM-empowered Foundation TTS System

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

InstaGAN: Instance-aware Image Translation (ICLR 2019)

PyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)

[TOG 2022] SofGAN: A Portrait Image Generator with Dynamic Styling

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

[TIP'19] AttGAN: Facial Attribute Editing by Only Changing What You Want

臺灣大學 (NTU) 李宏毅教授「機器學習 (Machine Learning) 2021 Spring 」課程筆記

Automatic 3D Character animation using Pose Estimation and Landmark Generation techniques

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

Virtual Clothing Assistant a custom unique implementation of ViTON, allows user to try different clothings virtually

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

[CVPR 2023 Highlight] Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars