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franorajic.bsky.social

@franorajic.bsky.social

franorajic.bsky.social @franorajic.bsky.social · 29/08/2025

4/4 🌐 Project page: ethz-vlg.github.io/mvtracker 💻 Code: github.com/ethz-vlg/mvt... 🌟 Interactive results: ethz-vlg.github.io/mvtracker/#q... 🤗 HF demo (coming soon)

ethz-vlg.github.io

MVTracker: Multi-View 3D Point Tracking

MVTracker is the first data-driven multi-view 3D point tracker for tracking arbitrary 3D points across multiple cameras.

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franorajic.bsky.social @franorajic.bsky.social · 29/08/2025

3/4 MVTracker assumes calibrated cameras with depth (e.g., from Kinect); when not available, cameras and depth can be estimated with off-the-shelf models such as DUSt3R or VGGT.

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franorajic.bsky.social @franorajic.bsky.social · 29/08/2025

2/4 Key idea: fuse multi-view features into a unified 3D point cloud, link them with kNN-based correlations, and refine trajectories iteratively with transformer attention.

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franorajic.bsky.social @franorajic.bsky.social · 29/08/2025

1/4 🚀 We’re excited to release MVTracker (ICCV 2025 Oral), the first data-driven multi-view 3D point tracker. MVTracker tracks arbitrary 3D points across multiple cameras, handling occlusions and varied camera setups without per-sequence optimization.

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