https://github.com/yevgm/deepadv3d
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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/yongheng1991/3D-point-capsule-networks
https://github.com/yossilevii100/critical_points2
https://github.com/yossilevii100/refocusing
https://github.com/ytng001/sensemaking
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/zaiweizhang/H3DNet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/zb12138/sph3d
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
https://github.com/zb12138/sph3dR
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
https://github.com/zenroad/modifypointnet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/zghera/pvcnn-tf
https://github.com/zghera/voxel-tf-ops
https://github.com/zgx0534/pointnet_win
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/zhh6425/LocalContextPropagation
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/zhh6425/MotionPointNet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/ziqi-ma/find3d
https://github.com/zrrskywalker/pointclip
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
https://github.com/zyang-ur/SAT
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.