https://github.com/opengvlab/cafo
Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Encoding and reconstruction of 3D point clouds.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
SUG: Single-dataset Unified Generalization for 3D Point Cloud Classification
KPConv: Flexible and Deformable Convolution for Point Clouds
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.