502 Open source projects that are alternatives of or similar to Edge Connect

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

A sketch extractor for anime/illustration.

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

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

Bringing Old Photo Back to Life (CVPR 2020 oral)

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

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

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..

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

Generate Cartoon Images using Generative Adversarial Network

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

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

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

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

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

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

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

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

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

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

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

[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

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

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

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

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

Tensorflow implement of "Eye In-Painting with Exemplar Generative Adversarial Networks"

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

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

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

Toward Multimodal Image-to-Image Translation

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

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

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

Image-to-Image Translation in PyTorch

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

Unsupervised High-Resolution Portrait Gaze Correction and Animation (TIP 2022)

my own deep learning mastery roadmap

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

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

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

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

A DCGAN to generate anime faces using custom mined dataset

Software that can autocomplete sketches as the user starts drawing.

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

A PyTorch implementation for StyleGAN with full features.

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN

Pytorch deep learning face frontalization model

Personalized Fashion Recommendation and Generation

chainer implementation of pix2pix

🎎 InfoGAN: Interpretable Representation Learning

Awesome GAN for Medical Imaging

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

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