: Extracts masks for foreground objects to minimize motion-induced artifacts within shorter video clips. Technical Resources Project Page : video-3dgs-project.github.io
The file "VIDE-3GS.mp4" likely refers to the project (also known as Video-3D Gaussian Splatting ), which focuses on enhancing temporal consistency in video editing using 3D Gaussian Splatting (3DGS). Core Research Details VIDE-3GS.mp4
: Transactions on Machine Learning Research (TMLR) 2025 Key Contributions : Extracts masks for foreground objects to minimize
: It uses separate sets of Gaussians ( Frg-3DGS and Bkg-3DGS ) to represent moving objects and static backgrounds independently. : Available on GitHub at dlsrbgg33/Video-3DGS , which
: Available on GitHub at dlsrbgg33/Video-3DGS , which includes the MC-COLMAP implementation and pre-processed datasets.
: The method first reconstructs a video into a 3DGS representation and then integrates it into zero-shot video editors to maintain stability across frames.
: Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting Authors : dlsrbgg33 (GitHub username) et al.
