Results 11 to 20 of about 50,928 (258)
HyperPocket: Generative Point Cloud Completion
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 Scanning real-life scenes with modern registration devices typically give incomplete point cloud representations, mostly due to the limitations of the scanning process and 3D occlusions. Therefore, completing such partial representations remains a fundamental challenge of many computer vision applications.
Przemyslaw Spurek +7 more
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Two-branch Shape Complement Network for Feature Missing Splicing Mode
Journal of Harbin University of Science and Technology, 2023 Aiming at the problem of low fidelity of reverse geometric reconstruction of bowl-shaped cultural relics model due to the missing fragments , a 3D point cloud shape completion network based on double discrimination decoder is proposed.
SUNJin, MAHaotian, LEIZhenting, LIANGLi
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Generative Models for 3D Point Clouds
CoRR, 2023 Point clouds are rich geometric data structures, where their three dimensional structure offers an excellent domain for understanding the representation learning and generative modeling in 3D space. In this work, we aim to improve the performance of point cloud latent-space generative models by experimenting with transformer encoders, latent-space flow
Lingjie Kong +2 more
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Point Cloud Generation with Continuous Conditioning
CoRR, 2022 Generative models can be used to synthesize 3D objects of high quality and diversity. However, there is typically no control over the properties of the generated object.This paper proposes a novel generative adversarial network (GAN) setup that generates 3D point cloud shapes conditioned on a continuous parameter.
Larissa T. Triess +4 more
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3D Point Cloud Generation Based on Multi-Sensor Fusion
Applied Sciences, 2022 Traditional precise engineering surveys adopt manual static, discrete observation, which cannot meet the dynamic, continuous, high-precision and holographic fine measurements required for large-scale infrastructure construction, operation and maintenance,
Yulong Han +5 more
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EPiC-GAN: Equivariant point cloud generation for particle jets
SciPost Physics, 2023 With the vast data-collecting capabilities of current and future high-energy collider experiments, there is an increasing demand for computationally efficient simulations.
Erik Buhmann, Gregor Kasieczka, Jesse Thaler
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GPU‐Accelerated LOD Generation for Point Clouds
Computer Graphics Forum, 2023 AbstractAbout: We introduce a GPU‐accelerated LOD construction process that creates a hybrid voxel‐point‐based variation of the widely used layered point cloud (LPC) structure for LOD rendering and streaming. The massive performance improvements provided by the GPU allow us to improve the quality of lower LODs via color filtering while still increasing
Markus Schütz +3 more
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Generating 3D Adversarial Point Clouds [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Deep neural networks are known to be vulnerable to adversarial examples which are carefully crafted instances to cause the models to make wrong predictions. While adversarial examples for 2D images and CNNs have been extensively studied, less attention has been paid to 3D data such as point clouds.
Chong Xiang 0001 +2 more
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DTM GENERATION WITH UAV BASED PHOTOGRAMMETRIC POINT CLOUD [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Nowadays Unmanned Aerial Vehicles (UAVs) are widely used in many applications for different purposes. Their benefits however are not entirely detected due to the integration capabilities of other equipment such as; digital camera, GPS, or laser scanner ...
N. Polat, M. Uysal
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Deep Artificial Correspondence Generation for 3D Point Cloud Registration [PDF]
Jisuanji kexue, 2023 To address the challenging problems of point cloud registration in 3D reconstruction(e.g.,difficulty in finding corresponding points,etc.),this paper proposes a point cloud registration method based on cross-attention and artificial correspondence ...
BAI Zhengyao, XU Zhu, ZHANG Yihan
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