Results 51 to 60 of about 7,734,831 (297)
A survey of point cloud generation algorithms based on deep generative models
Dianzi Jishu YingyongAs a core task in the field of 3D vision, point cloud generation plays a vital role in scenarios such as point cloud shape completion, upsampling, and synthesis.
Lin Zhihao, Zhao Jiachi, Cheng Zhuo
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AUTOMATIC EXTRACTION OF BUILDING OUTLINE FROM HIGH RESOLUTION AERIAL IMAGERY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 In this paper, a new approach for automated extraction of building boundary from high resolution imagery is proposed. The proposed approach uses both geometric and spectral properties of a building to detect and locate buildings accurately.
Y. Wang
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NrtNet: An Unsupervised Method for 3D Non-Rigid Point Cloud Registration Based on Transformer
Sensors, 2022 Self-attention networks have revolutionized the field of natural language processing and have also made impressive progress in image analysis tasks. Corrnet3D proposes the idea of first obtaining the point cloud correspondence in point cloud registration.
Xiaobo Hu +4 more
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TAILORED FEATURES FOR SEMANTIC SEGMENTATION WITH A DGCNN USING FREE TRAINING SAMPLES OF A COLORED AIRBORNE POINT CLOUD [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Automation of 3D LiDAR point cloud processing is expected to increase the production rate of many applications including automatic map generation.
E. Widyaningrum +5 more
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, 2018 Example Outcrop Point Cloud for Estimating Historical Shear ...
Xin Wang (5597843)
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Fast Point Cloud Generation with Straight Flows
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Diffusion models have emerged as a powerful tool for point cloud generation. A key component that drives the impressive performance for generating high-quality samples from noise is iteratively denoise for thousands of steps. While beneficial, the complexity of learning steps has limited its applications to many 3D real-world.
Lemeng Wu +8 more
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Cloud Services Brokerage : a survey and research roadmap [PDF]
, 2015 A Cloud Services Brokerage (CSB) acts as an intermediary between cloud service providers (e.g., Amazon and Google) and cloud service end users, providing a number of value adding services. CSBs as a research topic are in there infancy.
Barker, Adam David +6 more
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Using Auto-ML on Synthetic Point Cloud Generation
Applied SciencesAutomated Machine Learning (Auto-ML) has primarily been used to optimize network hyperparameters or post-processing parameters, while the most critical component for training a high-quality model, the dataset, is usually left untouched. In this paper, we
Moritz Hottong +2 more
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Progressive Point Cloud Deconvolution Generation Network [PDF]
, 2020 In this paper, we propose an effective point cloud generation method, which can generate multi-resolution point clouds of the same shape from a latent vector. Specifically, we develop a novel progressive deconvolution network with the learning-based bilateral interpolation.
Le Hui +4 more
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Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source