670 Open source projects that are alternatives of or similar to gans-collection.torch

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

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

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

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

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

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

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Image-to-image translation with conditional adversarial nets

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

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

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

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

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Chainer implementation of recent GAN variants

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

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

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

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

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

Toward Multimodal Image-to-Image Translation

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

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

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

GAN in Tensorflow to be run via Linux command line

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

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

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

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

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

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

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A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

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

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

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