The improved version of AnimeGAN.
Project Page | Landscape photos / videos to anime
News
- (2022.08.03) Added the AnimeGANv2 Colab: 🖼️ Photos
| 🎞️ Videos
- (2021.12.25) AnimeGANv3 has been released. 🎄
- (2021.02.21) The pytorch version of AnimeGANv2 has been released, Be grateful to @bryandlee for his contribution.
- (2020.12.25) AnimeGANv3 will be released along with its paper in the spring of 2021.
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 |
News:
The improvement directions of AnimeGANv2 mainly include the following 4 points: -
1. Solve the problem of high-frequency artifacts in the generated image.
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2. It is easy to train and directly achieve the effects in the paper.
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3. Further reduce the number of parameters of the generator network. (generator size: 8.17 Mb), The lite version has a smaller generator model.
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4. Use new high-quality style data, which come from BD movies as much as possible.
AnimeGAN can be accessed from here.
- python 3.6
- tensorflow-gpu 1.15.0 (GPU 2080Ti, cuda 10.0.130, cudnn 7.6.0)
- opencv
- tqdm
- numpy
- glob
- argparse
- onnxruntime (If onnx file needs to be run.)
python test.py --checkpoint_dir checkpoint/generator_Hayao_weight --test_dir dataset/test/HR_photo --save_dir Hayao/HR_photo
python video2anime.py --video video/input/お花見.mp4 --checkpoint_dir checkpoint/generator_Hayao_weight --output video/output
python edge_smooth.py --dataset Hayao --img_size 256
python train.py --dataset Hayao --epoch 101 --init_epoch 10
python get_generator_ckpt.py --checkpoint_dir ../checkpoint/AnimeGANv2_Shinkai_lsgan_300_300_1_2_10_1 --style_name Shinkai
😍 Photo to Paprika Style
😍 Photo to Hayao Style
😍 Photo to Shinkai Style
