PyTorch implementation of EigenGAN

Last update: Nov 12, 2022

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Overview

PyTorch Implementation of EigenGAN

Train

python train.py [image_folder_path] --name [experiment name]

Test

python test.py [ckpt path] --traverse

FFHQ

[ckpt]

samples (no truncation)

Learned subspace: L0 D1

Learned subspace: L1 D2

Anime

[ckpt]

samples (no truncation)

Learned subspace: L0 D5

Learned subspace: L1 D2

Note

Default training configurations are different from the original implementation

Tested on python 3.8 + torch 1.8.1

Issue

Some of the subspace layers seem to collapse (does not contribute to the output) as the training proceeds and FID gets better.

Owner

GitHub Repository

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PyTorch implementation of EigenGAN

Related tags

Overview

PyTorch Implementation of EigenGAN

Owner

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PyTorch implementation of EigenGAN

Related tags

Overview

PyTorch Implementation of EigenGAN

Owner

PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

UIUCTF 2021 Public Challenge Repository

Efficient Sharpness-aware Minimization for Improved Training of Neural Networks

chainladder - Property and Casualty Loss Reserving in Python

Pytorch codes for Feature Transfer Learning for Face Recognition with Under-Represented Data

The code for the NeurIPS 2021 paper "A Unified View of cGANs with and without Classifiers".

code associated with ACL 2021 DExperts paper

This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.

A python/pytorch utility library

The official PyTorch implementation of the paper: *Xili Dai, Xiaojun Yuan, Haigang Gong, Yi Ma. "Fully Convolutional Line Parsing." *.

DeepVoxels is an object-specific, persistent 3D feature embedding.

Codes for realizing theories learned from Data Mining, Machine Learning, Deep Learning without using the present Python packages.

Code for the Image similarity challenge.

Object detection on multiple datasets with an automatically learned unified label space.

Code to reproduce the results for Compositional Attention

Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics

GPT, but made only out of gMLPs

OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis

Multi-Content GAN for Few-Shot Font Style Transfer at CVPR 2018

Public implementation of "Learning from Suboptimal Demonstration via Self-Supervised Reward Regression" from CoRL'21

The official PyTorch implementation of the paper: Xili Dai, Xiaojun Yuan, Haigang Gong, Yi Ma. "Fully Convolutional Line Parsing." .