# bryandlee/animegan2-pytorch

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/bryandlee-animegan2-pytorch).**

_How this analysis was created: the description and tags below were written by an AI model that read this project's README and public documentation pages; stars, license and language come straight from the GitHub API. The model does not read the source code._

4,458 stars · 644 forks · Jupyter Notebook · MIT

## Links

- GitHub: https://github.com/bryandlee/animegan2-pytorch
- awesome-repositories: https://awesome-repositories.com/repository/bryandlee-animegan2-pytorch.md

## Topics

`gan` `image2image` `style-transfer`

## Description

This project is a PyTorch implementation of AnimeGANv2, a generative adversarial network and image-to-image translation model designed to transform real-world photographs into stylized anime imagery.

The repository includes a model weight converter that enables the translation of checkpoints across different runtime environments. This utility performs weight key remapping and tensor dimension permutation to ensure compatibility between framework implementations.

The system supports AI photo stylization through pre-trained weight loading and provides configurable upsampling alignment to maintain visual coherence during image resolution increases.

## Tags

### Artificial Intelligence & ML

- [Image Stylization GANs](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-image-models/noise-to-image-generation/gan/image-stylization-gans.md) — Uses GAN architectures specifically designed for transforming real-world photographs into anime artistic styles.
- [Image-to-Image Translation](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/diffusion-visual-models/generative-ai-pipelines/text-to-image-generators/image-inpainting/image-to-image-translation.md) — Maps input photographs from the real-world domain to a stylized anime domain.
- [Generative Adversarial Networks](https://awesome-repositories.com/f/artificial-intelligence-ml/neural-network-implementations/generative-adversarial-networks.md) — Employs a generator and discriminator network pair to learn artistic style transformations.
- [PyTorch Implementations](https://awesome-repositories.com/f/artificial-intelligence-ml/pytorch-implementations.md) — Provides a complete implementation of the AnimeGANv2 model using the PyTorch framework.
- [Anime Style Transfer](https://awesome-repositories.com/f/artificial-intelligence-ml/pytorch-implementations/anime-style-transfer.md) — Provides a specialized PyTorch implementation of the AnimeGANv2 model for artistic photo stylization.
- [Pre-trained Weight Loading](https://awesome-repositories.com/f/artificial-intelligence-ml/large-scale-model-training/vision-transformer-pre-training/pre-trained-model-checkpoints/pre-trained-weight-loading.md) — Provides mechanisms for importing serialized weights into the generator for immediate artistic stylization.
- [Model Weight Converters](https://awesome-repositories.com/f/artificial-intelligence-ml/model-versioning/model-weight-converters.md) — Provides a utility for transforming model weights to maintain compatibility across different runtime environments.

### Graphics & Multimedia

- [Anime Style Image Generation](https://awesome-repositories.com/f/graphics-multimedia/anime-style-image-generation.md) — Transforms real-world photographs into stylized anime imagery using pre-trained generative adversarial networks. ([source](https://github.com/bryandlee/animegan2-pytorch/blob/main/demo.ipynb))

### Data & Databases

- [Framework Weight Bridging](https://awesome-repositories.com/f/data-databases/vector-data-formats/format-conversion-utilities/model-weight-conversions/framework-weight-bridging.md) — Translates and remaps model checkpoints to ensure compatibility between different PyTorch implementations or runtimes.
- [Structural Weight Conversion](https://awesome-repositories.com/f/data-databases/vector-data-formats/format-conversion-utilities/model-weight-conversions/structural-weight-conversion.md) — Converts weight tensors from external formats into standardized structures to ensure runtime compatibility. ([source](https://github.com/bryandlee/animegan2-pytorch#readme))

### Part of an Awesome List

- [Style Transfer](https://awesome-repositories.com/f/awesome-lists/more/style-transfer.md) — Listed in the “Style transfer” section of the Ailia Models awesome list.
