Integrating Multimodal Large Language Model Knowledge into Amodal Completion

ArXi:2603.28333v1 Announce Type: cross With the widespread adoption of autonomous vehicles and robotics, amodal completion, which reconstructs the occluded parts of people and objects in an image, has become increasingly crucial. Just as humans infer hidden regions based on prior experience and common sense, this task inherently requires physical knowledge about real-world entities.