## **For better user experience, refer to the Web official document ->  [Image Generation](https://www.paddlepaddle.org.cn/hublist)**

### Image Generation

Image generation is the generation of a target image based on an input vector. The input vector here can be a random noise or a user-specified conditional vector. Specific application scenarios include style migration, image cartoons, and so on.

- Recommended Models

| Model Name                                                   | Model Introduction                                           |
| ------------------------------------------------------------ | ------------------------------------------------------------ |
| [Art Style Migration](https://www.paddlepaddle.org.cn/hubdetail?name=stylepro_artistic&en_category=GANs) | Convert a given image into an arbitrary artistic style. Ensure that high fidelity model reproduction of semantic detail information of content images is consistent with the style information of style images. |
| [Image Animation - Makoto Shinkai](https://www.paddlepaddle.org.cn/hubdetail?name=animegan_v2_shinkai_53&en_category=GANs) | AnimeGAN V2 image style conversion model. It is a model that converts the input image into a  Makoto Shinkai style. |
| [Image Animation - Hayao Miyazaki](https://www.paddlepaddle.org.cn/hubdetail?name=animegan_v2_hayao_64&en_category=GANs) | AnimeGAN V2 image style conversion model. It is a model that converts the input image into a Miyazaki anime style. |
| [Image Animation - Satoshi Kon Paprika](https://www.paddlepaddle.org.cn/hubdetail?name=animegan_v2_paprika_97&en_category=GANs) | AnimeGAN V2 image style conversion model. It is a model that converts the input image into an Satoshi Kon Paprika style anime style. |
