MICAS improves 3D point cloud in-context learning by making point sampling task-aware and prompt selection query-aware, outperforming prior ICL methods on the ShapeNet In-Context benchmark.
Unsu- pervised learning of geometric sampling invariant represen- tations for 3d point clouds
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MICAS: Multi-grained In-Context Adaptive Sampling for 3D Point Cloud Processing
MICAS improves 3D point cloud in-context learning by making point sampling task-aware and prompt selection query-aware, outperforming prior ICL methods on the ShapeNet In-Context benchmark.