Research map / Point clouds / Point cloud classification
Domain Adaptation on Point Clouds via Geometry-Aware Implicits
Check your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add self-paced self-training (SPST) (ablation) | Geometry-aware implicit adaptation · PointDA-10 | average accuracy (%): 70.0 -> 73.2 | Helped |
| Add self-paced self-training (SPST) (ablation) | Geometry-aware implicit adaptation · GraspNetPC-10 | average accuracy (%): 75.8 -> 84.4 | Helped |
| Use adaptive unsigned distance field instead of nearest-neighbor distances with fixed clamping (ablation) | Geometry-aware implicit representation learning · Point-cloud implicit reconstruction | geometry fidelity | Helped |
| Use affinity-aware jittering instead of uniform random perturbations (ablation) | Geometry-aware implicit representation learning · Sparse and dense point clouds | geometry fidelity | Helped |
Closest papers by meaning
- PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation (NeurIPS 2019 · similarity 0.92)
- Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation With Reliable Voted Pseudo Labels (CVPR 2022 · similarity 0.89)
- Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds (CVPR 2024 · similarity 0.88)
- Shape-Invariant 3D Adversarial Point Clouds (CVPR 2022 · similarity 0.88)
- Construct to Associate: Cooperative Context Learning for Domain Adaptive Point Cloud Segmentation (CVPR 2024 · similarity 0.86)
- FreePoint: Unsupervised Point Cloud Instance Segmentation (CVPR 2024 · similarity 0.86)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.