LAMP: Lift Image-Editing as General 3D Priors for Open-world Manipulation

ArXi:2604.08475v1 Announce Type: new Human-like generalization in open-world remains a fundamental challenge for robotic manipulation. Existing learning-based methods, including reinforcement learning, imitation learning, and vision-language-action-models (VLAs), often struggle with novel tasks and unseen environments. Another promising direction is to explore generalizable representations that capture fine-grained spatial and geometric relations for open-world manipulation.