TachibanaYoshino/AnimeGANv3
A Double-Tail GAN model that transforms photographs and videos into anime-style artwork.
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AnimeGANv3 implements a novel Double-Tail Generative Adversarial Network for fast photo animation, converting real-world images and video frames into anime-style outputs. The project provides pre-trained models in multiple formats (ONNX, TensorFlow Lite, CoreML) for deployment across platforms including a HuggingFace Space. It supports both image and video animation workflows.
Frequently asked
- What is TachibanaYoshino/AnimeGANv3?
- A Double-Tail GAN model that transforms photographs and videos into anime-style artwork.
- Is AnimeGANv3 open source?
- Yes — TachibanaYoshino/AnimeGANv3 is an open-source project tracked on heatdrop.
- What language is AnimeGANv3 written in?
- TachibanaYoshino/AnimeGANv3 is primarily written in Python.
- How popular is AnimeGANv3?
- TachibanaYoshino/AnimeGANv3 has 2k stars on GitHub.
- Where can I find AnimeGANv3?
- TachibanaYoshino/AnimeGANv3 is on GitHub at https://github.com/TachibanaYoshino/AnimeGANv3.