Python gan Libraries
DTCDN Title: A deep translation (GAN) based change detection network for optical and SAR remote sensing images [paper] X. Li, Z. Du, Y. Huang, and Z.
HeSer.Pytorch unofficial implementation of Few-Shot Head Swapping in the Wild you can find official version here I did not use the discriminator from
Avocodo: Generative Adversarial Network for Artifact-free Vocoder Unofficial implementation of Avocodo: Generative Adversarial Network for Artifact-fr
Code for paper: SpA-Former:Transformer image shadow detection and shadow removal via spatial attention
SpA-Former:Transformer image shadow detection and removal via spatial attention new 2022.6.30 The draft is released now at http://arxiv.org/abs/2206.1
[ECCV2022] Source Code for "Improving GANs for Long-Tailed Data through Group Spectral Regularization"
Group Spectral Regularization for GANS This repository contains code for the paper: Improving GANs for Long-Tailed Data through Group Spectral Regular
OMORI GAN Generate OMORI character sprite with Generative Adversarial Networks (GAN) using PyTorch Lightning. Example generated image Spoiler warning:
GANs Author： Hai Zhou Institution： Beijing University of Posts and Telecommunication mail：[email protected] Run experiments with various GAN model Mod
Tensorflow implementation of "Tackling the Generative Learning Trilemma with Denoising Diffusion GANs" (ICLR 2022 Spotlight)
DDGAN — TensorFlow Implementation [Project page] : Tackling the Generative Learning Trilemma with Denoising Diffusion GANs (ICLR 2022 Spotlight) Abstr
Rewriting Geometric Rules of a GAN Project | Paper | Youtube With our method, a user can edit a GAN model to synthesize many unseen objects with the d
EleGANt: Exquisite and Locally Editable GAN for Makeup Transfer Official PyTorch implementation of ECCV 2022 paper "EleGANt: Exquisite and Locally Edi
The official code of WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation (ECCV2022)
Official codes for WaveGAN: An Frequency-aware GAN for High-Fidelity Few-shot Image Generation (ECCV2022) [Paper] Requirements imageio==2.9.0 lmdb==1.
Monocular 3D Object Reconstruction with GAN Inversion (ECCV 2022) This paper presents a novel GAN Inversion framework for single view 3D object recons
This repository has gone stale as I unfortunately do not have the time to maintain it anymore. If you would like to continue the development of it as
DCT-NET.Pytorch unofficial implementation of DCT-Net: Domain-Calibrated Translation for Portrait Stylization. you can find official version here show
Simulate experiments with the Conditional GAN architecture and training algorithm in PyTorch using this package.
Conditional GAN Experiments Package Simulate experiments with a Conditional GAN architecture package. Setting up the Conditional GAN Experiments packa
Official Pytorch implementation of "Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis", ECCV 2022
Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis Project page | Paper "Injecting 3D Perception of
Authors official PyTorch implementation of the "ContraCLIP: Interpretable GAN generation driven by pairs of contrasting sentences".
ContraCLIP: Interpretable GAN generation driven by pairs of contrasting sentences Authors official PyTorch implementation of the ContraCLIP: Interpret
가상 인플루언서 만들어보기(Make-a-Virtual-Human) 1. Overview 가상 인플루언서와 버츄얼 유튜버들이 큰 인기를 끌면서 가상의 인물은 어떤 기술을 써서 만들어 보는 가에 대한 궁금증에서 시작 GAN 알고리즘을 활용해 가상인물 제작 및 딥페이크 영상
Shortage of data is a huge problem in the medical domain which needs to be countered. Big hospitals are reluctant to share their patients' data online because of the patient-doctor confidentiality. GANs are a alternative method which can help us solve this problem of data shortage.
Diffusion-GAN — Official PyTorch implementation Diffusion-GAN: Training GANs with Diffusion Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen a
MindSpore-GAN Collection of MindSpore implementations of Generative Adversarial Network varieties presented in research papers. Models are refered to
Task-Induced Pyramid and Attention GAN for Multimodal Brain Image Imputation and Classification in Alzheimer’s Disease Paper: https://ieeexplore.ieee.
ganlatent: GAN Latent Space Discovery Discover interpretable trajectories inside GAN's latent space using different algorithms Generative-Adversarial
A Non-Autoregressive End-to-End Text-to-Speech (text-to-wav), supporting a family of SOTA unsupervised duration modelings
A Non-Autoregressive End-to-End Text-to-Speech (text-to-wav), supporting a family of SOTA unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate E2E-TTS
Official code for CVPR2022 paper: Depth-Aware Generative Adversarial Network for Talking Head Video Generation
📖 Depth-Aware Generative Adversarial Network for Talking Head Video Generation (CVPR 2022) 🔥 If DaGAN is helpful in your photos/projects, please hel
"SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image", Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image [Paper] [Website] Pipeline Code Environment pip install -r requirements
Implementation of our paper "Super-resolution with adversarial loss on the feature maps of the generated high-resolution image" (IET Electronics Letters 2022)
Adversarial Feature Maps Super Resolution This repository is the Implementation of our paper: Imanuel, I. and Lee, S. (2022), Super-resolution with ad