FrameLite: Decision-Oriented Aesthetic Cropping with a Compact Vision-Language Model
This work proposes FrameLite, a compact cropping model built on Qwen3, which outperforms the compared large-VLM croppers across public benchmarks with a substantially smaller backbone and develops three-stage training to turn this potential into stronger direct predictions.