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21 repositories
- WHU-Synthetic, a large-scale 3D synthetic perception dataset designed for multi-task learning, from the initial data augmentation (upsampling and depth completion), through scene understanding (segmentation), to macro-level tasks (place recognition and 3D reconstruction).
CoFiI2P
Public[IEEE RA-L 2024 & ICRA'25] CoFiI2P: Coarse-to-Fine Correspondences-Based Image-to-Point Cloud Registration.github
PublicWHU-Railway3D
PublicGAGS
Public- [IEEE RAL'24 & IROS'24] Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots
VistaDream
Public[arXiv'24] [Image-to-Scene on a 4090(24G)] VistaDream: Sampling multiview consistent images for single-view scene reconstruction- [ICLR 2024] FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators
EGIInet
PublicSparseDC
Public- [IEEE TGRS 2024] A novel method for registration of MLS and stereo reconstructed point clouds
SGHR
Public[CVPR 2023] Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting- PatchAugNet: Patch feature augmentation-based heterogeneous point cloud place recognition in large-scale street scenes
MENet
PublicWHU-TLS
Public