479 Open source projects that are alternatives of or similar to Co Mod Gan

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

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

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

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)

🔥3D-RecGAN in Tensorflow (ICCV Workshops 2017)

A sketch extractor for anime/illustration.

Generate Cartoon Images using Generative Adversarial Network

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..

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

Image-to-Image Translation in PyTorch

🤖A list of resources to help anyone getting started with GANs 🤖

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Toward Multimodal Image-to-Image Translation

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

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

[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

Synthetic Data Generation for tabular, relational and time series data.

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

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

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

Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)

my own deep learning mastery roadmap

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Bringing Old Photo Back to Life (CVPR 2020 oral)

Generative Adversarial Networks implemented in PyTorch and Tensorflow

Reproduction code for WGAN-LP

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

The implementation of Relativistic average GAN with Keras

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

Pytorch implementation of MixNMatch

Generating Videos with Scene Dynamics. NIPS 2016.

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

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

C++ Implementation of PyTorch Tutorials for Everyone

Conversational AI Reading Materials

Given an image and a target viewpoint, generate synthetic image in the target viewpoint

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥

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

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.

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

Generative Adversarial Networks (GANs) resources sorted by citations