Seungryong Kim

VideoMaMa++: Temporally Consistent Video Matting via Preserve-and-Refine Token

Diffusion-based video matting has recently emerged as a leading approach, leveraging video diffusion priors from internet-scale pretraining to achieve strong zero-shot generalization from limited synthetic data. However, the heavy compute of these diffusion backbones limits inference to a short chunk of just 6 to 24 fr...