VideoMaMa turns rough masks into pixel-perfect video mattes
Researchers just introduced VideoMaMa, a model that uses generative video diffusion priors to turn coarse segmentation masks into pixel-accurate alpha mattes. Even with only synthetic training, it handles in-the-wild video effortlessly and powers a massive 50K-video dataset. All models and data are slated for public open-source release.