3 个仓库
Algorithms for temporal consistency and object removal in video sequences.
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Track-Anything is an AI-driven video object segmentation and tracking system. It utilizes the Segment Anything Model to isolate and mask multiple objects across video frames, providing tools for automated mask propagation and background-filling inpainting. The system distinguishes itself through a multi-object segmentation pipeline that can follow several distinct targets simultaneously. It includes a video inpainting utility to remove tracked objects and replace them with synthesized background content, as well as temporal mask refinement to correct tracking drift. The project covers broad
Implements video inpainting to remove tracked objects and fill the gaps with synthesized background content.
Fills missing or masked regions in video frames with coherent content matching the surrounding scene.
This is the source code of "Temporally Coherent Completion of Dynamic Video", ACM Transactions on Graphics (TOG), 2016, from https://filebox.ece.vt.edu/~jbhuang/project/vidcomp/ NOTE: I'm not the author.
Ensures temporal coherence when filling dynamic video frames.