GitHub

FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators

TL;DR: FreeReg extracts cross-modality features from pretrained diffusion models and monocular depth estimators for accurate zero-shot image-to-point cloud registration. Abstract: Matching ...
IEEE

Point-NAS: A Novel Neural Architecture Search Framework for Point Cloud Analysis

Abstract: Recently, point-based networks have exhibited extraordinary potential for 3D point cloud processing. However, owing to the meticulous design of both parameters and hyperparameters inside the ...
GitHub

Explore In-Context Learning for 3D Point Cloud Understanding

⭐ Our work is the first to explore in-context learning in 3D point clouds, including task definition, benchmark, and baseline models. The first work to explore the application of in-context learning ...
IEEE

Point Cloud Segmentation Algorithm Based on Improved Euclidean Clustering

Abstract: Point cloud segmentation is a crucial technique for object recognition and localization, widely employed in various applications such as point cloud registration, 3D reconstruction, object ...