TransGAN: Two Transformers Can Make One Strong GAN

Last update: Jan 07, 2023

Overview

TransGAN: Two Transformers Can Make One Strong GAN

Code used for TransGAN: Two Transformers Can Make One Strong GAN.

Main Pipeline

Visual Results

prepare fid statistic file

mkdir fid_stat

Download the pre-calculated statistics (Google Drive) to ./fid_stat.

Environment

pip install -r requirements.txt

Notice: Pytorch version has to be <=1.3.0 !

Training

Coming soon

Testing

Firstly download the checkpoint from (Google Drive) to ./pretrained_weight

# cifar-10
sh exps/cifar10_test.sh

# stl-10
sh exps/stl10_test.sh

Acknowledgement

FID code and CIFAR-10 statistics file from https://github.com/bioinf-jku/TTUR (official). Codebase from AutoGAN

Owner

VITA

Visual Informatics Group @ University of Texas at Austin

GitHub Repository

Code for the ICCV 2021 Workshop paper: A Unified Efficient Pyramid Transformer for Semantic Segmentation.

Unified-EPT Code for the ICCV 2021 Workshop paper: A Unified Efficient Pyramid Transformer for Semantic Segmentation. Installation Linux, CUDA=10.0,

29 Aug 23, 2022

Improving XGBoost survival analysis with embeddings and debiased estimators

xgbse: XGBoost Survival Embeddings "There are two cultures in the use of statistical modeling to reach conclusions from data

242 Dec 30, 2022

NasirKhusraw - The TSP solved using genetic algorithm and show TSP path overlaid on a map of the Iran provinces & their capitals.

Nasir Khusraw : Travelling Salesman Problem The TSP solved using genetic algorithm. This project show TSP path overlaid on a map of the Iran provinces

2 Sep 01, 2022

In the AI for TSP competition we try to solve optimization problems using machine learning.

AI for TSP Competition Goal In the AI for TSP competition we try to solve optimization problems using machine learning. The competition will be hosted

11 Nov 27, 2022

Use unsupervised and supervised learning to predict stocks

AIAlpha: Multilayer neural network architecture for stock return prediction This project is meant to be an advanced implementation of stacked neural n

1.5k Jan 06, 2023

Contextual Attention Network: Transformer Meets U-Net

Contextual Attention Network: Transformer Meets U-Net Contexual attention network for medical image segmentation with state of the art results on skin

67 Nov 28, 2022

Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style

Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style [NeurIPS 2021] Official code to reproduce the results and data p

27 Sep 19, 2022

A python library for implementing a recommender system

python-recsys A python library for implementing a recommender system. Installation Dependencies python-recsys is build on top of Divisi2, with csc-pys

1.5k Dec 17, 2022

Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec

Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec This repo

5 Dec 02, 2022

Time Dependent DFT in Tamm-Dancoff Approximation

Density Function Theory Program - kspy-tddft(tda) This is an implementation of Time-Dependent Density Functional Theory(TDDFT) using the Tamm-Dancoff

2 Nov 17, 2022

Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models

merged_depth runs (1) AdaBins, (2) DiverseDepth, (3) MiDaS, (4) SGDepth, and (5) Monodepth2, and calculates a weighted-average per-pixel absolute dept

39 Nov 21, 2022

TorchMetrics is a collection of 25+ PyTorch metrics implementations and an easy-to-use API to create custom metrics.

Machine learning metrics for distributed, scalable PyTorch applications.

1.2k Jan 06, 2023

Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance

Semi-supervised Deep Kernel Learning This is the code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data

58 Oct 26, 2022

Multi-resolution SeqMatch based long-term Place Recognition

MRS-SLAM for long-term place recognition In this work, we imply an multi-resolution sambling based visual place recognition method. This work is based

6 Dec 06, 2022

Safe Control for Black-box Dynamical Systems via Neural Barrier Certificates

Safe Control for Black-box Dynamical Systems via Neural Barrier Certificates Installation Clone the repository: git clone https://github.com/Zengyi-Qi

3 Oct 18, 2022

General Virtual Sketching Framework for Vector Line Art (SIGGRAPH 2021)

General Virtual Sketching Framework for Vector Line Art - SIGGRAPH 2021 Paper | Project Page Outline Dependencies Testing with Trained Weights Trainin

118 Dec 27, 2022

Official implementation of Rich Semantics Improve Few-Shot Learning (BMVC, 2021)

Rich Semantics Improve Few-Shot Learning Paper Link Abstract : Human learning benefits from multi-modal inputs that often appear as rich semantics (e.

11 Jul 26, 2022

Source code for the plant extraction workflow introduced in the paper “Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision”

Plant extraction workflow Source code for the plant extraction workflow introduced in the paper "Agricultural Plant Cataloging and Establishment of a

0 Apr 22, 2022

Learning Calibrated-Guidance for Object Detection in Aerial Images

Learning Calibrated-Guidance for Object Detection in Aerial Images arxiv We propose a simple yet effective Calibrated-Guidance (CG) scheme to enhance

51 Sep 22, 2022

Boosted neural network for tabular data

XBNet - Xtremely Boosted Network Boosted neural network for tabular data XBNet is an open source project which is built with PyTorch which tries to co

175 Jan 04, 2023

TransGAN: Two Transformers Can Make One Strong GAN

Related tags

Overview

TransGAN: Two Transformers Can Make One Strong GAN

Main Pipeline

Visual Results

prepare fid statistic file

Environment

Training

Testing

Acknowledgement

Owner

VITA

Code for the ICCV 2021 Workshop paper: A Unified Efficient Pyramid Transformer for Semantic Segmentation.

Improving XGBoost survival analysis with embeddings and debiased estimators

NasirKhusraw - The TSP solved using genetic algorithm and show TSP path overlaid on a map of the Iran provinces & their capitals.

In the AI for TSP competition we try to solve optimization problems using machine learning.

Use unsupervised and supervised learning to predict stocks

Contextual Attention Network: Transformer Meets U-Net

Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style

A python library for implementing a recommender system

Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec

Time Dependent DFT in Tamm-Dancoff Approximation

Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models

TorchMetrics is a collection of 25+ PyTorch metrics implementations and an easy-to-use API to create custom metrics.

Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance

Multi-resolution SeqMatch based long-term Place Recognition

Safe Control for Black-box Dynamical Systems via Neural Barrier Certificates

General Virtual Sketching Framework for Vector Line Art (SIGGRAPH 2021)

Official implementation of Rich Semantics Improve Few-Shot Learning (BMVC, 2021)

Source code for the plant extraction workflow introduced in the paper “Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision”

Learning Calibrated-Guidance for Object Detection in Aerial Images

Boosted neural network for tabular data