839 Open source projects that are alternatives of or similar to Bringing Old Photos Back To Life

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

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

Image-to-Image Translation in PyTorch

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

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

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

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

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

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

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

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

Focal Frequency Loss for Generative Models

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

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

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

Masking GAN - Image attribute mask generation

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

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

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

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

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

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

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

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

Code and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.

Official implementation of "Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis"(WACV 2022/CVPRW 2021)

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

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

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

Toward Multimodal Image-to-Image Translation

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

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

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

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

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

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

CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation

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

A sketch extractor for anime/illustration.

Image-to-image translation with conditional adversarial nets

SiENet: Siamese Expansion Network for Image Extrapolation(IEEE SPL2020)

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

Generate Cartoon Images using Generative Adversarial Network

my own deep learning mastery roadmap

Pytorch implementation of MixNMatch

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

VapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)

Semantic Image Manipulation using Scene Graphs (CVPR 2020)

Code for deep generative prior (ECCV2020 oral)

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..

Interactive Image Generation via Generative Adversarial Networks

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

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

DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images

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

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

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

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)