AI RESEARCH

EffectErase: Joint Video Object Removal and Insertion for High-Quality Effect Erasing

arXiv CS.CV

ArXi:2603.19224v1 Announce Type: new Video object removal aims to eliminate dynamic target objects and their visual effects, such as deformation, shadows, and reflections, while restoring seamless backgrounds. Recent diffusion-based video inpainting and object removal methods can remove the objects but often struggle to erase these effects and to synthesize coherent backgrounds. Beyond method limitations, progress is further hampered by the lack of a comprehensive dataset that systematically captures common object effects across varied environments for.