Papers with Code 아카이브

3D Feature Matching

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논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

AxisPose: Model-Free Matching-Free Single-Shot 6D Object Pose Estimation via Axis Generation

PointRecon: Online Point-based 3D Reconstruction via Ray-based 2D-3D Matching

Rigid Single-Slice-in-Volume registration via rotation-equivariant 2D/3D feature matching

EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization

Efficient and Deterministic Search Strategy Based on Residual Projections for Point Cloud Registration with Correspondences

Improving Feature-based Visual Localization by Geometry-Aided Matching

Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition

Lepard: Learning partial point cloud matching in rigid and deformable scenes

Practical, Fast and Robust Point Cloud Registration for 3D Scene Stitching and Object Localization

PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features

Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution

StickyPillars: Robust and Efficient Feature Matching on Point Clouds using Graph Neural Networks

Human Correspondence Consensus for 3D Object Semantic Understanding

Multi-scale Cross-form Pyramid Network for Stereo Matching

3D Point Capsule Networks

Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.