Results 31 to 40 of about 5,609,782 (360)
Diffusion Probabilistic Models for 3D Point Cloud Generation [PDF]
Computer Vision and Pattern Recognition, 2021 We present a probabilistic model for point cloud generation, which is fundamental for various 3D vision tasks such as shape completion, upsampling, synthesis and data augmentation.
Shitong Luo, Wei Hu
semanticscholar +1 more source
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models [PDF]
Neural Information Processing Systems, 2023 Recent advancements in vision foundation models (VFMs) have opened up new possibilities for versatile and efficient visual perception. In this work, we introduce Seal, a novel framework that harnesses VFMs for segmenting diverse automotive point cloud ...
You-Chen Liu +7 more
semanticscholar +1 more source
Geodesics on Point Clouds [PDF]
Mathematical Problems in Engineering, 2014 We present a novel framework to compute geodesics on implicit surfaces and point clouds. Our framework consists of three parts, particle based approximate geodesics on implicit surfaces, Cartesian grid based approximate geodesics on point clouds, and geodesic correction.
Hongchuan Yu, Jian J. Zhang, Zheng Jiao
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A Method for Supervisory Control of Manipulator of Underwater Vehicle
Journal of Marine Science and Engineering, 2021 A novel method for supervisory control of multilink manipulators mounted on underwater vehicles is considered. This method is designed to significantly increase the level of automation of manipulative operations, by the building of motion trajectories ...
Alexander Konoplin +2 more
doaj +1 more source
PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction [PDF]
Computer Vision and Pattern Recognition, 2023 Reconstructing the 3D shape of an object from a single RGB image is a long-standing problem in computer vision. In this paper, we propose a novel method for single-image 3D reconstruction which generates a sparse point cloud via a conditional denoising ...
Luke Melas-Kyriazi +2 more
semanticscholar +1 more source
Picking Towels in Point Clouds [PDF]
Sensors, 2019 Picking clothing has always been a great challenge in laundry or textile industry automation, especially when some clothes are of the same colors, material and entangled with each other. In order to solve the problem, we present a grasp pose determination method to pick towels placed in a laundry basket or on a table. In our method, it is not needed to
Wang, Xiaoman +5 more
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Topological Point Cloud Clustering
Proceedings of the 40th International Conference on Machine Learning. International Conference on Machine Learning, ICML 2023, Honolulu, USA, 2023 Accepted at the 40th International Conference on Machine Learning (ICML), 2023.
Grande, Vincent P., Schaub, Michael T.
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Rotation-Invariant Transformer for Point Cloud Matching [PDF]
Computer Vision and Pattern Recognition, 2023 The intrinsic rotation invariance lies at the core of matching point clouds with handcrafted descriptors. However, it is widely despised by recent deep matchers that obtain the rotation invariance extrinsically via data augmentation. As the finite number
Hao Yu +6 more
semanticscholar +1 more source
PointMixup: Augmentation for Point Clouds [PDF]
, 2020 This paper introduces data augmentation for point clouds by interpolation between examples. Data augmentation by interpolation has shown to be a simple and effective approach in the image domain. Such a mixup is however not directly transferable to point clouds, as we do not have a one-to-one correspondence between the points of two different objects ...
Chen, Y. +6 more
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PointCLIP: Point Cloud Understanding by CLIP [PDF]
Computer Vision and Pattern Recognition, 2021 Recently, zero-shot and few-shot learning via Contrastive Vision-Language Pre-training (CLIP) have shown inspirational performance on 2D visual recognition, which learns to match images with their corresponding texts in open-vocabulary settings. However,
Renrui Zhang +8 more
semanticscholar +1 more source