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Found 3 papers, 2 papers with code
CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videos
Animating an object in 3D often requires an articulated structure, e. g. a kinematic chain or skeleton of the manipulated object with proper skinning weights, to obtain smooth movements and surface deformations.
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss
However, image-to point representation learning for autonomous driving datasets faces two main challenges: 1) the abundance of self-similarity, which results in the contrastive losses pushing away semantically similar point and image regions and thus disturbing the local semantic structure of the learned representations, and 2) severe class imbalance as pretraining gets dominated by over-represented classes.
Point Density-Aware Voxels for LiDAR 3D Object Detection
LiDAR has become one of the primary 3D object detection sensors in autonomous driving.
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