--- title: README emoji: 📉 colorFrom: indigo colorTo: indigo sdk: static pinned: false --- # LiveCompose **构妙 LiveCompose — AI-Powered On-Device Composition Assistant** LiveCompose explores intelligent image composition, outpainting, and automatic cropping for mobile deployment. [![GitHub](https://img.shields.io/badge/GitHub-LiveCompose-black?logo=github)](https://github.com/LiveCompose) [![App Store](https://img.shields.io/badge/App_Store-构妙_LiveCapture-blue)](https://apps.apple.com/cn/app/%E6%9E%84%E5%A6%99/id6754213088) --- LiveCompose is an AI-powered intelligent composition assistant that helps everyday users capture professionally-composed photos. Using reinforcement learning with aesthetic scoring, the system analyzes the viewfinder in real-time and actively guides users to the optimal composition — going far beyond traditional static grid lines. ## What We Build We develop and host the AI models, training datasets, and evaluation benchmarks behind the LiveCompose intelligent photography system. AdaCrop uses a two-stage cropping pipeline: a BBox head predicts an initial crop region, then an Actor policy refines the crop through sequential actions such as move, zoom, and stop. ## What We Hosts - **Spaces**: the AdaCrop image cropping demo. - **Models**: original AdaCrop PyTorch checkpoints, distilled MobileNetV3 student models, and Core ML exports for iOS. - **Datasets**: outpainted image data with crop bounding boxes for training. --- *LiveCompose — making every snapshot a masterpiece.*