https://github.com/IGLICT/RisaNET
공식 코드RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Source: He et al
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval
MVTN: Multi-View Transformation Network for 3D Shape Recognition
Partial 3D Object Retrieval using Local Binary QUICCI Descriptors and Dissimilarity Tree Indexing
An Indexing Scheme and Descriptor for 3D Object Retrieval Based on Local Shape Querying
ROCA: Robust CAD Model Retrieval and Alignment from a Single Image
Automatically Annotating Indoor Images with CAD Models via RGB-D Scans
Adversarial Autoencoders for Compact Representations of 3D Point Clouds
MVTN: Multi-View Transformation Network for 3D Shape Recognition
Adversarial Autoencoders for Compact Representations of 3D Point Clouds
HOC-Search: Efficient CAD Model and Pose Retrieval from RGB-D Scans
HOC-Search: Efficient CAD Model and Pose Retrieval from RGB-D Scans
Automatically Annotating Indoor Images with CAD Models via RGB-D Scans
Adversarial Autoencoders for Compact Representations of 3D Point Clouds
Adversarial Autoencoders for Compact Representations of 3D Point Clouds
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.