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Fudan's F2G-Pose predicts 6D pose, metric size and full shape from one RGB-D frame at 28 frames per second
The NeurIPS 2026 method lifts foundation-model features onto point clouds and routes them through an eight-expert transformer, running about seven times faster than diffusion-based GenPose++.
forming · confidence 40 · Emerging (watchlist) · tracking since October 24, 2026 · updated October 24, 2026
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- Oct 24Context
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Context · October 24, 2026
Fudan's F2G-Pose predicts 6D pose, metric size and full shape from one RGB-D frame at 28 frames per second
Auto-opened to track an article no existing trend covered.
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