TachibanaYoshino/AnimeGAN
A TensorFlow implementation of AnimeGAN that transforms real-world photos into anime-style images using a lightweight GAN.

Velocity · 7d
+1.8
★ / day
Trend
→steady
star history
AnimeGAN is a deep learning project that uses Generative Adversarial Networks to perform fast photo animation, converting real-world photos into anime-style images. The project implements the paper “AnimeGAN: a novel lightweight GAN for photo animation” and supports both photos and video processing. It includes pre-trained models and has been extended through multiple versions (v2, v3).