https://github.com/kabouzeid/point2vec
공식 코드point2vec for Self-Supervised Representation Learning on Point Clouds
Papers with Code 아카이브
3D Part Segmentation
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Segmenting 3D object parts
<span style="color:grey; opacity: 0.6">( Image credit: MeshCNN: A Network with an Edge )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/kormachine/partstad
공식 코드https://github.com/laughtervv/SGPN
공식 코드SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
https://github.com/lijx10/SO-Net
공식 코드https://github.com/marco-garosi/COPS
공식 코드3D Part Segmentation via Geometric Aggregation of 2D Visual Features
https://github.com/martianxiu/diffusionunit
공식 코드https://github.com/mit-han-lab/pvcnn
공식 코드https://github.com/mlvlab/SageMix
공식 코드https://github.com/mlvlab/spotr
공식 코드Self-positioning Point-based Transformer for Point Cloud Understanding
https://github.com/mr-neko/jm3d
공식 코드Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D Representation
https://github.com/mutianxu/GDANet
공식 코드https://github.com/niladridutt/Diffusion-3D-Features
공식 코드Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic Features
https://github.com/ranahanocka/MeshCNN
공식 코드https://github.com/rubenwiersma/deltaconv
공식 코드DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds
https://github.com/sitzikbs/3DmFV-Net
공식 코드https://github.com/tiangexiang/CurveNet
공식 코드Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
https://github.com/wangzy22/P2P
공식 코드P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
https://github.com/wangzy22/tap
공식 코드Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models
https://github.com/yangyangyang127/pointclip_v2
공식 코드PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
https://github.com/yangyanli/PointCNN
공식 코드https://github.com/yhc2021/avs-net
공식 코드AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene Understanding
https://github.com/yhyang-myron/sampart3d-website
공식 코드https://github.com/zyc00/partslip2
공식 코드https://gitee.com/gai-shaoyan/mind3d
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/2023-MindSpore-1/ms-code-215/tree/main/pointtransformer
https://github.com/2023-MindSpore-1/ms-code-223/tree/main/PointNet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/2023-MindSpore-1/ms-code-223/tree/main/PointNet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/2023-MindSpore-1/ms-code-35
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/2023-MindSpore-1/ms-code-48
https://github.com/2023-MindSpore-1/ms-code-53
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
https://github.com/2023-MindSpore-1/ms-code-7/tree/main/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/2023-MindSpore-1/ms-code-7/tree/main/Unet3d
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
https://github.com/2023-MindSpore-1/ms-code-8/tree/main/PointNet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/2023-MindSpore-4/Code10/tree/main/PointNet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/2023-MindSpore-4/Code10/tree/main/PointNet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/2023-MindSpore-4/Code10/tree/main/frustum-pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.