PyTorch Implementation of ECCV 2020 Spotlight TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images

Last update: Dec 09, 2022

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Overview

TuiGAN-PyTorch

Official PyTorch Implementation of "TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images" (ECCV 2020 Spotlight)

TuiGAN's applications

TuiGAN can be use for various computer vision tasks ranging from image style transfer to object transformation and appearance transformation:

Usage

Install dependencies

python -m pip install -r requirements.txt

Our code was tested with python 3.6 and PyToch 1.0.0 or 1.2.0

Train

To train TuiGAN model on two unpaired images, put the first training image under datas/task_name/trainA and the second training image under datas/task_name/trainB, and run

python train.py --input_name 
   
     --root

For example,

python train.py --input_name apple --root datas/apple

Comparison Results

General Unsupervised Image-to-Image Translation

Image Style Transfer

Animal Face Translation

Painting-to-Image Translation

More Results

Art Style Transfer

Photorealistic Style Transfer

Animal Face Translation

Owner

Ph.D. Candidate of University of Science and Technology of China

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PyTorch Implementation of ECCV 2020 Spotlight TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images

Related tags

Overview

TuiGAN-PyTorch

TuiGAN's applications

Usage

Install dependencies

Train

Comparison Results

General Unsupervised Image-to-Image Translation

Image Style Transfer

Animal Face Translation

Painting-to-Image Translation

More Results

Art Style Transfer

Photorealistic Style Transfer

Animal Face Translation

Owner

End-to-end beat and downbeat tracking in the time domain.

A real-time speech emotion recognition application using Scikit-learn and gradio

Implementation of UNET architecture for Image Segmentation.

Source code for PairNorm (ICLR 2020)

PyTorch implementation of Off-policy Learning in Two-stage Recommender Systems

Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

An AI Assistant More Than a Toolkit

Sequence to Sequence (seq2seq) Recurrent Neural Network (RNN) for Time Series Forecasting

A Fast and Stable GAN for Small and High Resolution Imagesets - pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

PyTorch implementation for Graph Contrastive Learning with Augmentations

[PAMI 2020] Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-segmentation

Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations

Flexible-CLmser: Regularized Feedback Connections for Biomedical Image Segmentation

Official Repository for "Robust On-Policy Data Collection for Data Efficient Policy Evaluation" (NeurIPS 2021 Workshop on OfflineRL).

Out of Distribution Detection on Natural Adversarial Examples

A PyTorch Lightning Callback for pushing models to the Hugging Face Hub 🤗⚡️

This repo tries to recognize faces in the dataset you created