CVPR2025
VidSeg: Training-free Video Semantic Segmentation based on Diffusion Models
Qian Wang, Abdelrahman Eldesokey, Mohit Mendiratta, Fangneng Zhan, Adam Kortylewski, Christian Theobalt, Peter Wonka
Abstract
Figure 1. We propose the first training-free diffusion-based approach for Video Semantic Segmentation (VSS). Our approach produces temporally consistent predictions compared to the diffusion-based image segmentation method EmerDiff [15].