537 Open source projects that are alternatives of or similar to GraphCNN-GAN

My pytorch implementation for GAN

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

Anime Generation

Python script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

Spectral Normalization for Keras Dense and Convolution Layers

Pytorch implementation of CycleGAN.

Semantic Image Inpainting

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

Improving MMD-GAN training with repulsive loss function

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

Training a MNIST classifier, and use it to compute inception score (ICP)

Conditional GAN for Anime face generation.

TriangleGAN, ACM MM 2019.

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

[CVPR2020] Adversarial Latent Autoencoders

Listing my favorite research papers 📝 from different fields as I read them.

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

Generative Adversarial Networks in PyTorch

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)

ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.

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

A stable algorithm for GAN training

Stacked Generative Adversarial Networks

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

Tensorflow-based framework to ease training of generative models

PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.

3D-aware GANs based on NeRF (arXiv).

Tensorflow Implementation of DiscoGAN

PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

Code for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”

No description or website provided.

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

PyTorch study

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

Repository for MAD-GAN Paper done in ML CAMP Jeju

Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.

Codes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

Performance comparison of existing GAN based Text To Image algorithms. (GAN-CLS, StackGAN, TAC-GAN)

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds (ECCV 2020)

A basic and simple tool for code auto completion

Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.

A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"

Benchmarking synthetic data generation methods.

Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs

Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

Supplementary code for SHREC 2017 RGB-D Object-to-CAD Retrieval track

Generate image from text with Generative Adversarial Network

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".