PaddlePaddle/PaddleGAN

Health v2 · maintenance only

Adoption not part of the score

8048 stars · 1230 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

PaddleGAN is a Python library providing high-performance implementations of classic and state-of-the-art Generative Adversarial Networks built on PaddlePaddle. It includes ready-to-use applications such as first-order motion transfer, Wav2Lip lip-syncing, image restoration, photo-to-cartoon, face editing, and image/video super-resolution.

Use cases

• animate a photo to make it talk with wav2lip
• transfer motion from a video to a still image
• upscale low-resolution images and videos
• convert a portrait photo to cartoon style
• restore and enhance old or damaged photos
• edit faces in images with stylegan
• train and deploy custom GAN models

When to choose

• you want prebuilt GAN applications like lip-syncing, motion transfer, or super-resolution
• your stack is already on PaddlePaddle
• you need both training and inference for GAN models in Python

When to avoid

• you need PyTorch or TensorFlow instead of PaddlePaddle
• you need a general-purpose image editing tool rather than GAN research models
• you require frequent updates or active community support

Facets

library · maturity maintenance

image-processing video-processing machine-learning deep-learning deep-learning computer-vision image-processing artificial-intelligence python gan style-transfer super-resolution motion-transfer face-editing image-restoration paddlepaddle wav2lip photo2cartoon video linux gpu

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For agents

markdown · JSON · MCP: product_card(name="PaddlePaddle/PaddleGAN")