A collection of pre-trained StyleGAN2 models trained on different datasets at different resolution.

Overview

Awesome Pretrained StyleGAN2

A collection of pre-trained StyleGAN2 models trained on different datasets at different resolution.

Note the readme is a bit out of date, there are more models linked in the issues.

If you have a publically accessible model which you know of, or would like to share please see the contributing section. Hint: the simplest way to submit a model is to fill in this form.

Table of Contents

car (config-e)

car (config-f)

cat

church

faces (FFHQ config-e)

faces (FFHQ config-e 256x256)

faces (FFHQ config-f)

faces (FFHQ config-f 512x512)

horse

Imagenet

WikiArt

Anime portraits

microscope images

wildlife

modern art

trypophobia

Abstract art

  • Style mixing example, interpolation video
  • Dataset: Frea Buckler artwork
  • Resolution: 1024x1024 config: f
  • Author: Derrick Schultz
  • Download link
  • StyleGAN2 implementation: RunwayML
  • Notes: Based on Frea Buckler’s artwork from her Instagram account (purposefully undertrained to be abstract and not infringe on the artist’s own work)
  • Licence: Unknown
  • Source

Maps

cakes

CIFAR 10

CIFAR 100

faces (FFHQ slim 256x256)

obama

grumpy cat

panda

fursona

my little pony

painting faces

ukiyoe faces

beetles

textures

more abstract art

flowers

Doors

floor plans

figure drawings

Notes

  • The configuration "slim" refers to the reduced feature map model used in the Karras limited data and Zhao data efficient papers.
  • Each row in the sample grids above use a different level of trunction: 0.25, 0.5, 0.75, 1 from top to bottom.
  • Style mixing figure and interpolation video generated using truncation of 0.75

Contributing

TLDR: You can either edit the models.json file or fill out this form.

This readme is automatically generated using Jinja, please do not try and edit it directly. Information about the models is stored in models.json please add your model to this file. Preview images are generated automatically and the process is used to test the link so please only edit the json file.

Owner
Justin
Justin
PyTorch implementation for ComboGAN

ComboGAN This is our ongoing PyTorch implementation for ComboGAN. Code was written by Asha Anoosheh (built upon CycleGAN) [ComboGAN Paper] If you use

Asha Anoosheh 139 Dec 20, 2022
Implementation for Simple Spectral Graph Convolution in ICLR 2021

Simple Spectral Graph Convolutional Overview This repo contains an example implementation of the Simple Spectral Graph Convolutional (S^2GC) model. Th

allenhaozhu 64 Dec 31, 2022
Implementation of Shape Generation and Completion Through Point-Voxel Diffusion

Shape Generation and Completion Through Point-Voxel Diffusion Project | Paper Implementation of Shape Generation and Completion Through Point-Voxel Di

Linqi Zhou 103 Dec 29, 2022
Crowd-Kit is a powerful Python library that implements commonly-used aggregation methods for crowdsourced annotation and offers the relevant metrics and datasets

Crowd-Kit: Computational Quality Control for Crowdsourcing Documentation Crowd-Kit is a powerful Python library that implements commonly-used aggregat

Toloka 125 Dec 30, 2022
PyTorch implementation of Neural Dual Contouring.

NDC PyTorch implementation of Neural Dual Contouring. Citation We are still writing the paper while adding more improvements and applications. If you

Zhiqin Chen 140 Dec 26, 2022
PyKale is a PyTorch library for multimodal learning and transfer learning as well as deep learning and dimensionality reduction on graphs, images, texts, and videos

PyKale is a PyTorch library for multimodal learning and transfer learning as well as deep learning and dimensionality reduction on graphs, images, texts, and videos. By adopting a unified pipeline-ba

PyKale 370 Dec 27, 2022
[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving

NEAT: Neural Attention Fields for End-to-End Autonomous Driving Paper | Supplementary | Video | Poster | Blog This repository is for the ICCV 2021 pap

254 Jan 02, 2023
EMNLP 2021 Findings' paper, SCICAP: Generating Captions for Scientific Figures

SCICAP: Scientific Figures Dataset This is the Github repo of the EMNLP 2021 Findings' paper, SCICAP: Generating Captions for Scientific Figures (Hsu

Edward 26 Nov 21, 2022
DeOldify - A Deep Learning based project for colorizing and restoring old images (and video!)

DeOldify - A Deep Learning based project for colorizing and restoring old images (and video!)

Jason Antic 15.8k Jan 04, 2023
Cluttered MNIST Dataset

Cluttered MNIST Dataset A setup script will download MNIST and produce mnist/*.t7 files: luajit download_mnist.lua Example usage: local mnist_clutter

DeepMind 50 Jul 12, 2022
CowHerd is a partially-observed reinforcement learning environment

CowHerd is a partially-observed reinforcement learning environment, where the player walks around an area and is rewarded for milking cows. The cows try to escape and the player can place fences to h

Danijar Hafner 6 Mar 06, 2022
Rafael Project- Classifying rockets to different types using data science algorithms.

Rocket-Classify Rafael Project- Classifying rockets to different types using data science algorithms. In this project we received data base with data

Hadassah Engel 5 Sep 18, 2021
StyleMapGAN - Official PyTorch Implementation

StyleMapGAN - Official PyTorch Implementation StyleMapGAN: Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing Hyunsu Kim, Yunj

NAVER AI 425 Dec 23, 2022
Open source code for the paper of Neural Sparse Voxel Fields.

Neural Sparse Voxel Fields (NSVF) Project Page | Video | Paper | Data Photo-realistic free-viewpoint rendering of real-world scenes using classical co

Meta Research 647 Dec 27, 2022
PyTorch implementation of a collections of scalable Video Transformer Benchmarks.

PyTorch implementation of Video Transformer Benchmarks This repository is mainly built upon Pytorch and Pytorch-Lightning. We wish to maintain a colle

Xin Ma 156 Jan 08, 2023
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)

MTTS-CAN: Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement Paper Xin Liu, Josh Fromm, Shwetak Patel, Daniel M

Xin Liu 106 Dec 30, 2022
Computations and statistics on manifolds with geometric structures.

Geomstats Code Continuous Integration Code coverage (numpy) Code coverage (autograd, tensorflow, pytorch) Documentation Community NEWS: Geomstats is r

875 Dec 31, 2022
A Haskell kernel for IPython.

IHaskell You can now try IHaskell directly in your browser at CoCalc or mybinder.org. Alternatively, watch a talk and demo showing off IHaskell featur

Andrew Gibiansky 2.4k Dec 29, 2022
General Vision Benchmark, a project from OpenGVLab

Introduction We build GV-B(General Vision Benchmark) on Classification, Detection, Segmentation and Depth Estimation including 26 datasets for model e

174 Dec 27, 2022
Source code of our work: "Benchmarking Deep Models for Salient Object Detection"

SALOD Source code of our work: "Benchmarking Deep Models for Salient Object Detection". In this works, we propose a new benchmark for SALient Object D

22 Dec 30, 2022