style mixing for animation face

Last update: Nov 30, 2022

Related tags

Overview

An implementation of StyleGAN on Animation dataset.

Install

git clone https://github.com/MorvanZhou/anime-StyleGAN
cd anime-StyleGAN
pip install -r requirements.txt

Process data

Download data from kaggle Anime Faces (~400MB), then unzip *.zip to the anime/images folder.

process data to tensorflow tensor_record format.

python dataset.py --data_dir ~/data/anime/

Train

python train.py --data_dir ~/data/anime/ --soft_gpu -b 32 --latent 128 --epoch 151 -lr 0.0005 -b1 0. -b2 0.99 -w 2

Results

First few of epoch:

After one day:

Style mixing

python restore.py --model_path visual/2021-01-14_19-39-20/model/cp-0137.ckpt -o demo/stylemix.png -n 3 --z_seed 2 --n_seed 1 --latent 128

Owner

Morvan

Deep Learning Research & Development in Tencent

GitHub Repository

unet-family: Ultimate version

unet-family: Ultimate version 基于之前my-unet代码，我整理出来了这一份终极版本unet-family，方便其他人阅读。相比于之前的my-unet代码，代码分类更加规范，有条理对于clone下来的代码不需要修改各种复杂繁琐的路径问题，直接就可以运行。并且代码有

2 Sep 19, 2022

Turning SymPy expressions into JAX functions

sympy2jax Turn SymPy expressions into parametrized, differentiable, vectorizable, JAX functions. All SymPy floats become trainable input parameters. S

38 Dec 11, 2022

[CVPR2021] Invertible Image Signal Processing

Invertible Image Signal Processing This repository includes official codes for "Invertible Image Signal Processing (CVPR2021)". Figure: Our framework

281 Dec 31, 2022

Retinal Vessel Segmentation with Pixel-wise Adaptive Filters (ISBI 2022)

Official code of Retinal Vessel Segmentation with Pixel-wise Adaptive Filters and Consistency Training (ISBI 2022)

14 Oct 27, 2022

Collection of machine learning related notebooks to share.

ML_Notebooks Collection of machine learning related notebooks to share. Notebooks GAN_distributed_training.ipynb In this Notebook, TensorFlow's tutori

14 Dec 22, 2022

S2s2net - Sentinel-2 Super-Resolution Segmentation Network

S2S2Net Sentinel-2 Super-Resolution Segmentation Network Getting started Install

10 Nov 10, 2022

Multi-Scale Progressive Fusion Network for Single Image Deraining

Multi-Scale Progressive Fusion Network for Single Image Deraining (MSPFN) This is an implementation of the MSPFN model proposed in the paper (Multi-Sc

128 Nov 21, 2022

Code release for NeRF (Neural Radiance Fields)

NeRF: Neural Radiance Fields Project Page | Video | Paper | Data Tensorflow implementation of optimizing a neural representation for a single scene an

6.5k Jan 01, 2023

EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings

SimCSE: Simple Contrastive Learning of Sentence Embeddings This repository contains the code and pre-trained models for our paper SimCSE: Simple Contr

2.5k Dec 29, 2022

render sprites into your desktop environment as shaped windows using GTK

spritegtk render static or animated sprites into your desktop environment as dynamic shaped windows using GTK requires pycairo and PYGobject: pip inst

20 Oct 27, 2022

Boston House Prediction Valuation Tool

Boston-House-Prediction-Valuation-Tool From Below Anlaysis The Valuation Tool is Designed Correlation Matrix Regrssion Analysis Between Target Vs Pred

0 Sep 09, 2022

Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.

EfficientZero (NeurIPS 2021) Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021. Thank you for you

671 Jan 03, 2023

Off-policy continuous control in PyTorch, with RDPG, RTD3 & RSAC

arXiv technical report soon available. we are updating the readme to be as comprehensive as possible Please ask any questions in Issues, thanks. Intro

31 Dec 30, 2022

Official implementation of GraphMask as presented in our paper Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking.

GraphMask This repository contains an implementation of GraphMask, the interpretability technique for graph neural networks presented in our ICLR 2021

29 Sep 02, 2022

Reproduces the results of the paper "Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations".

Finite basis physics-informed neural networks (FBPINNs) This repository reproduces the results of the paper Finite Basis Physics-Informed Neural Netwo

65 Dec 28, 2022