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SELF-SUPERVISED ADVERSARIAL SHAPE COMPLETION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 The goal of this paper is 3D shape completion: given an incomplete instance of a known category, hallucinate a complete version of it that is geometrically plausible. We develop an adversarial framework that makes it possible to learn shape completion in
T. Peters, K. Schindler, C. Brenner
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Brain network mechanisms of visual shape completion [PDF]
NeuroImage, 2021 Visual shape completion recovers object shape, size, and number from spatially segregated edges. Despite being extensively investigated, the process's underlying brain regions, networks, and functional connections are still not well understood.
Brian P. Keane +5 more
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Contrastive Learning for 3D Point Clouds Classification and Shape Completion [PDF]
Sensors, 2021 In this paper, we present the idea of Self Supervised learning on the shape completion and classification of point clouds. Most 3D shape completion pipelines utilize AutoEncoders to extract features from point clouds used in downstream tasks such as ...
Danish Nazir +4 more
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Anisotropic SpiralNet for 3D Shape Completion and Denoising [PDF]
Sensors, 2022 Three-dimensional mesh post-processing is an important task because low-precision hardware and a poor capture environment will inevitably lead to unordered point clouds with unwanted noise and holes that should be suitably corrected while preserving the ...
Seong Uk Kim +3 more
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Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolution [PDF]
Scientific Reports, 2023 Traditional convolutional neural network (CNN) methods rely on dense tensors, which makes them suboptimal for spatially sparse data. In this paper, we propose a CNN model based on sparse tensors for efficient processing of high-resolution shapes ...
Jianning Li +5 more
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SurgPointTransformer: transformer-based vertebra shape completion using RGB-D imaging [PDF]
Computer Assisted SurgeryState-of-the-art computer- and robot-assisted surgery systems rely on intraoperative imaging technologies such as computed tomography and fluoroscopy to provide detailed 3D visualizations of patient anatomy.
Aidana Massalimova +5 more
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Neural shape completion for personalized Maxillofacial surgery [PDF]
Scientific ReportsIn this paper, we investigate the effectiveness of shape completion neural networks as clinical aids in maxillofacial surgery planning. We present a pipeline to apply shape completion networks to automatically reconstruct complete eumorphic 3D meshes ...
Stefano Mazzocchetti +6 more
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Feasibility of automatic screw planning via transformer-based shape completion from RGB-D imaging [PDF]
Scientific ReportsAccurate pedicle screw placement (PSP) is essential in spinal fusion surgery. Conventional navigation relies on computed tomography (CT) or fluoroscopy, which involves ionizing radiation and requires an error-prone registration procedure.
Aidana Massalimova +5 more
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An Efficient Bidirectional Point Pyramid Attention Network for 3D Point Cloud Completion
Applied Sciences, 2023 Point cloud completion is a necessary task in real-world applications of recovering a complete geometry from missing regions of 3D objects. Furthermore, model efficiency is of vital importance in computer vision.
Yang Li +3 more
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Remote Sensing, 2021 Recently, unstructured 3D point clouds have been widely used in remote sensing application. However, inevitable is the appearance of an incomplete point cloud, primarily due to the angle of view and blocking limitations. Therefore, point cloud completion
Weichao Wu +4 more
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