Lightweight LoRA Learns to Predict Future Motion
mangahomanga · x · 2026-07-18
This post elaborates on MotionForesight's implementation:
- Each interaction video is split into "observed" and "future" segments; the model only accesses the RGB and geometric data from the first half.
- Full videos are processed offline to recover object masks, metric geometry, camera motion, and dense 3D tracking, serving as pseudo-ground truth.
- Training utilizes a single rank-32 LoRA to learn future motion prediction, requiring no language annotations or action labels.
Related event: MotionForesight predicts future 3D motion from existing video models(6 posts)→
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