In contrast to the literature where local patterns in 3D point clouds are captured by customized convolutional operators, in this paper we study the problem of how to effectively and efficiently ...

Image2PointCloud is a Python-based tool that generates 3D point clouds and meshes from one or more 2D images without requiring depth data. It leverages the DepthAnythingV2 model to estimate depth maps ...

Abstract: Large-scale point cloud generated from 3D sensors is more accurate than its image-based counterpart. However, it is seldom used in visual pose estimation due to the difficulty in obtaining ...

Abstract: Similarity measure of cross-domain descriptors (2D descriptors and 3D descriptors) between 2D image patches and 3D point cloud volumes provides stable retrieval performance and establishes ...

a revolutionary 3D multi-modality model designed to seamlessly integrate point clouds with various data sources such as 2D images, language, audio, and video. Guided by the principles of ImageBind, ...

The LSPCR approach first projects the original sparse 3D point cloud onto a 2D range image; then, it enhances the resolution in the vertical direction of the 2D range image before converting the ...

Embodied intelligence emerged as a focal point ... by Coohom Cloud for research in indoor environment understanding, 3D reconstruction, robotics simulation and beyond. Regarding 2D image rendering ...