The provided text introduces VideoPainter, a novel dual-branch framework for any-length video inpainting and editing. This method utilizes a lightweight context encoder that can be plugged into pre-trained video diffusion transformers to efficiently guide background preservation and foreground generation based on text prompts. To ensure temporal consistency, especially in longer videos, VideoPainter employs a region ID resampling technique. The authors also present VPData and VPBench, a large-scale video inpainting dataset with detailed annotations, and demonstrate state-of-the-art performance in various in painting and editing tasks. #AI # RobotsTalking #AIResearch