Place-it-R1: Unlocking Environment-aware Reasoning Potential of MLLM for Video Object Insertion.

arXiv:2603.06140v4 Announce Type: replace-cross Abstract: Video object insertion is fundamental to video editing, yet existing diffusion methods often produce visually plausible but physically inconsistent results. We present Place-it-R1, an end-to-end framewo