GMC learns per-point SE(3) mappings into a shared canonical space to interpolate and extrapolate 3D point-based scenes under large motion, outperforming baselines that assume small motion.
An image is worth 16x16 words: Transformers for image recognition at scale, 2021
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Global Motion Corresponder for 3D Point-Based Scene Interpolation under Large Motion
GMC learns per-point SE(3) mappings into a shared canonical space to interpolate and extrapolate 3D point-based scenes under large motion, outperforming baselines that assume small motion.