# AnimeGANv2 **Repository Path**: greatwind/AnimeGANv2 ## Basic Information - **Project Name**: AnimeGANv2 - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-11-23 - **Last Updated**: 2021-11-23 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # AnimeGANv2 「Open Source」. The improved version of AnimeGAN. 「[Project Page](https://tachibanayoshino.github.io/AnimeGANv2/)」 | Landscape photos/videos to anime ----- **News** (2020.12.25) AnimeGANv3 will be released along with its paper in the spring of 2021. (2021.02.21) [The pytorch version of AnimeGANv2 has been released](https://github.com/bryandlee/animegan2-pytorch), Be grateful to @bryandlee for his contribution. **Focus:**
Anime style Film Picture Number Quality Download Style Dataset
Miyazaki Hayao The Wind Rises 1752 1080p Link
Makoto Shinkai Your Name & Weathering with you 1445 BD
Kon Satoshi Paprika 1284 BDRip
     Different styles of training have different loss weights! **News:** ```yaml The improvement directions of AnimeGANv2 mainly include the following 4 points: ``` - [x] 1. Solve the problem of high-frequency artifacts in the generated image. - [x] 2. It is easy to train and directly achieve the effects in the paper. - [x] 3. Further reduce the number of parameters of the generator network. **(generator size: 8.17 Mb)**, The lite version has a smaller generator model. - [x] 4. Use new high-quality style data, which come from BD movies as much as possible.       AnimeGAN can be accessed from [here](https://github.com/TachibanaYoshino/AnimeGAN). ___ ## Requirements - python 3.6 - tensorflow-gpu - tensorflow-gpu 1.8.0 (ubuntu, GPU 1080Ti or Titan xp, cuda 9.0, cudnn 7.1.3) - tensorflow-gpu 1.15.0 (ubuntu, GPU 2080Ti, cuda 10.0.130, cudnn 7.6.0) - opencv - tqdm - numpy - glob - argparse ## Usage ### 1. Download vgg19 > [vgg19.npy](https://github.com/TachibanaYoshino/AnimeGAN/releases/tag/vgg16%2F19.npy) ### 2. Download Train/Val Photo dataset > [Link](https://github.com/TachibanaYoshino/AnimeGAN/releases/tag/dataset-1) ### 3. Do edge_smooth > `python edge_smooth.py --dataset Hayao --img_size 256` ### 4. Calculate the three-channel(BGR) color difference > `python data_mean.py --dataset Hayao` ### 5. Train > `python main.py --phase train --dataset Hayao --data_mean [13.1360,-8.6698,-4.4661] --epoch 101 --init_epoch 10` > For light version: `python main.py --phase train --dataset Hayao --data_mean [13.1360,-8.6698,-4.4661] --light --epoch 101 --init_epoch 10` ### 6. Extract the weights of the generator > `python get_generator_ckpt.py --checkpoint_dir ../checkpoint/AnimeGAN_Hayao_lsgan_300_300_1_2_10_1 --style_name Hayao` ### 7. Inference > `python test.py --checkpoint_dir checkpoint/generator_Hayao_weight --test_dir dataset/test/HR_photo --style_name Hayao/HR_photo` ### 8. Convert video to anime > `python video2anime.py --video video/input/お花見.mp4 --checkpoint_dir checkpoint/generator_Paprika_weight` ____ ## Results ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/AnimeGANv2.png) ____ :heart_eyes: Photo to Paprika Style ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Paprika/concat/37.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Paprika/concat/38.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Paprika/concat/6.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Paprika/concat/7.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Paprika/concat/9.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Paprika/concat/21.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Paprika/concat/44.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Paprika/concat/1.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Paprika/concat/8.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Paprika/concat/11.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Paprika/concat/5.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Paprika/concat/15.jpg) ____ :heart_eyes: Photo to Hayao Style ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Hayao/concat/AE86.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Hayao/concat/10.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Hayao/concat/15.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Hayao/concat/35.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Hayao/concat/39.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Hayao/concat/42.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Hayao/concat/44.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Hayao/concat/41.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Hayao/concat/32.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Hayao/concat/11.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Hayao/concat/34.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Hayao/concat/18.jpg) ____ :heart_eyes: Photo to Shinkai Style ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Shinkai/concat/7.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Shinkai/concat/9.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Shinkai/concat/11.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Shinkai/concat/15.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Shinkai/concat/17.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Shinkai/concat/22.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Shinkai/concat/27.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Shinkai/concat/33.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Shinkai/concat/32.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Shinkai/concat/21.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Shinkai/concat/3.jpg) ![](https://github.com/TachibanaYoshino/AnimeGANv2/blob/master/results/Shinkai/concat/26.jpg) ## License This repo is made freely available to academic and non-academic entities for non-commercial purposes such as academic research, teaching, scientific publications. Permission is granted to use the AnimeGANv2 given that you agree to my license terms. Regarding the request for commercial use, please contact us via email to help you obtain the authorization letter. ## Author Xin Chen