553 Open source projects that are alternatives of or similar to tiny-pix2pix

Focal Frequency Loss for Generative Models

Synthesizing and manipulating 2048x1024 images with conditional GANs

chainer implementation of pix2pix

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

Interactive Image Generation via Generative Adversarial Networks

Image-to-image translation with conditional adversarial nets

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

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

Toward Multimodal Image-to-Image Translation

Pytorch implementation of pix2pix for various datasets.

Tensorflow implementation of the NIPS paper "Toward Multimodal Image-to-Image Translation"

Page to PAGE Layout Analysis Tool

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

Image-to-Image Translation in PyTorch

Progressive Image Inpainting (Kolmogorov Team solution for Huawei Hackathon 2019 summer)

Synthetic Data Generation for mixed-type, multivariate time series.

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.

Urban building extraction in Daejeon region using Modified Residual U-Net (Modified ResUnet) and applying post-processing.

A tool for running deep learning algorithms for semantic segmentation with satellite imagery

This repository contains a new adversarial training method for Generative Conversational Agents

Benchmarking synthetic data generation methods.

Open solution to the Airbus Ship Detection Challenge

StyleGAN Encoder - converts real images to latent space

Tensorflow-based framework to ease training of generative models

My pytorch implementation for GAN

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

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

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

Codes of the paper "Adversarial Binary Coding for Efficient Person Re-identification"

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

A PyTorch collection of semantic segmentation tools.

Implemenation of UNets for Lung Segmentation

Pytorch implementation of multitask CycleGAN with auxiliary classification loss

剔骨仿宋: Experimental Fang Song style Chinese font

Unofficial pytorch implementation of algorithms for domain adaptation

This is the official GitHub repository for ECCV 2020 Workshop paper "Single image dehazing for a variety of haze scenarios using back projected pyramid network"

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

Tensorflow Implementation of DiscoGAN

Implementation of a GAN that generates video using LSTM and ConvNet in Tensorflow

Tensorflow codes for our ICIP-17 and arXiv-1708.09533 works: "ArtGAN: Artwork Synthesis with Conditional Categorial GAN" & "Learning a Generative Adversarial Network for High Resolution Artwork Synthesis "

Video prediction using lstm and unet

Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018

PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)

Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

Low Light Image Enhancement

Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering

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

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

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

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

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

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing (Best Paper WACV 2022)

基于pix2pix模型的动漫图片自动上色(keras实现) 2019-2-25

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Cell Detection with PyTorch.