Papers with Code 아카이브
Point Clouds
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Text-Driven Cross-Modal Place Recognition Method for Remote Sensing Localization
L2RSI: Cross-view LiDAR-based Place Recognition for Large-scale Urban Scenes via Remote Sensing Imagery
Bridging Text and Vision: A Multi-View Text-Vision Registration Approach for Cross-Modal Place Recognition
Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization
Monocular Visual Place Recognition in LiDAR Maps via Cross-Modal State Space Model and Multi-View Matching
MambaPlace:Text-to-Point-Cloud Cross-Modal Place Recognition with Attention Mamba Mechanisms
MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models
A Unified Framework for Human-centric Point Cloud Video Understanding
ModaLink: Unifying Modalities for Efficient Image-to-PointCloud Place Recognition
VXP: Voxel-Cross-Pixel Large-scale Image-LiDAR Place Recognition
MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo
CrossVideo: Self-supervised Cross-modal Contrastive Learning for Point Cloud Video Understanding
CT-MVSNet: Efficient Multi-View Stereo with Cross-scale Transformer
X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-modal Knowledge Transfer
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo
When Epipolar Constraint Meets Non-local Operators in Multi-View Stereo
Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos
Cross-modal Place Recognition in Image Databases using Event-based Sensors
Multi-View Stereo Representation Revisit: Region-Aware MVSNet
(LC)$^2$: LiDAR-Camera Loop Constraints For Cross-Modal Place Recognition
MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based Depth
Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding
Curvature-guided dynamic scale networks for Multi-view Stereo
Generalized Binary Search Network for Highly-Efficient Multi-View Stereo
IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions
AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network
PatchmatchNet: Learned Multi-View Patchmatch Stereo
Visibility-aware Multi-view Stereo Network
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching
Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness
Multi-Scale Geometric Consistency Guided Multi-View Stereo
MVSNet: Depth Inference for Unstructured Multi-view Stereo
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.