Training-free 3D Part Segmentation
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Benchmarks
ShapeNet-Part
결과 3개
Most implemented
Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
2023-03-14 · 구현 3개
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
2022-11-21 · 구현 2개
PointCLIP: Point Cloud Understanding by CLIP
2021-12-04 · 구현 2개
Papers
Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
2023-03-14
· Renrui Zhang, Liuhui Wang, Ziyu Guo, Yali Wang 외
We present a Non-parametric Network for 3D point cloud analysis, Point-NN, which consists of purely non-learnable components: farthest point sampling (FPS), k-nearest neighbors (k-NN), and pooling operations, with trigon…
3D Point Cloud ClassificationAllSupervised Only 3D Point Cloud ClassificationTraining-free 3D Part Segmentation+1PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
2022-11-21 · ICCV 2023 1
· Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo 외
Large-scale pre-trained models have shown promising open-world performance for both vision and language tasks. However, their transferred capacity on 3D point clouds is still limited and only constrained to the classific…
3D Classification3D Object Detection3D Open-Vocabulary Instance Segmentation3D Part Segmentation+10PointCLIP: Point Cloud Understanding by CLIP
2021-12-04 · CVPR 2022 1
· Renrui Zhang, Ziyu Guo, Wei zhang, Kunchang Li 외
Recently, zero-shot and few-shot learning via Contrastive Vision-Language Pre-training (CLIP) have shown inspirational performance on 2D visual recognition, which learns to match images with their corresponding texts in …
3D Open-Vocabulary Instance SegmentationFew-Shot LearningOpen Vocabulary Object DetectionTraining-free 3D Part Segmentation+5