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Building 3D Generative Models from Minimal Data
We propose a method for constructing generative models of 3D objects from a single 3D mesh and improving them through unsupervised low-shot learning...
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3D Generative Network
The area of 3D generative network has been develo** rapidly due in part to the progresses in generative models and 3D sensing technology. It has a...
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Voxel-Based 3D Shape Segmentation Using Deep Volumetric Convolutional Neural Networks
3D shape segmentation serves as the base of semantic shape analysis and becomes a hot research topic in recent years. Many segmentation methods are...
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A novel 3D shape classification algorithm: point-to-vector capsule network
3D shape classification is a basic but challenging task for point clouds analysis. How to learn the discriminative shape descriptors from point...
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RingNet: Geometric Deep Representation Learning for 3D Multi-domain Protein Shape Retrieval
Many applications use three-dimensional polygon meshes as geometric representation to achieve central tasks, such as 3D object retrieval and...
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Deep 3D-LBP: CNN-based fusion of shape modeling and texture descriptors for accurate face recognition
The key challenge of face recognition is to develop an effective feature representations for reducing intrapersonal variations while enlarging...
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MVContrast: Unsupervised Pretraining for Multi-view 3D Object Recognition
3D shape recognition has drawn much attention in recent years. The view-based approach performs best of all. However, the current multi-view methods...
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Advancing Brain Tumor Segmentation via Attention-Based 3D U-Net Architecture and Digital Image Processing
In the realm of medical diagnostics, rapid advancements in Artificial Intelligence (AI) have significantly yielded remarkable improvements in brain...
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Learning shape abstraction by crop** positive cuboid primitives with negative ones
High-quality 3D model abstraction is needed in many graphics or 3D vision tasks to improve the rendering efficiency, increase transmission speed or...
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3D Model classification based on regnet design space and voting algorithm
3D models are widely used in industrial manufacturing, virtual reality, medical diagnosis and so on. At present, view-based 3D model classification...
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Shell stand: Stable thin shell models for 3D fabrication
A thin shell model refers to a surface or structure, where the object’s thickness is considered negligible. In the context of 3D printing, thin shell...
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3D Shape Analysis Through a Quantum Lens: the Average Mixing Kernel Signature
The Average Mixing Kernel Signature is a novel spectral signature for points on non-rigid three-dimensional shapes. It is based on a quantum...
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WalkFormer: 3D mesh analysis via transformer on random walk
A 3D mesh is a popular representation of 3D shapes. For mesh analysis tasks, one typical method is to map 3D mesh data into 1D sequence data with...
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Conversion of Point Cloud Data to 3D Models Using PointNet++ and Transformer
AbstractThis paper presents an approach to 3D model reconstruction from point cloud data using modern neural network architectures. The method is...
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Personalizing human avatars based on realistic 3D facial reconstruction
Personalized 3D human avatars have aroused a great deal of interest because it is attractive to most people, particularly generation Z, to have the...
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EOS-3D-DCNN: Ebola optimization search-based 3D-dense convolutional neural network for corn leaf disease prediction
Corn disease prediction is an essential part of agricultural productivity. This paper presents a novel 3D-dense convolutional neural network...
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3D
This last chapter is an introduction to the 3D capabilities of Processing. Just as Processing provides ways to draw in the plane, we can build a...
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Geometric modeling: Background for processing the 3d objects
Processing the 3D objects is a research field of computer graphics that can be applied in 3D simulation, 3D image processing, game industry, etc....
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3D Printing
This chapter covers 3D printing while also hinting at the future of 4D printing. Nevertheless, we might more accurately refer to additive...
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Disentangling Geometric Deformation Spaces in Generative Latent Shape Models
A complete representation of 3D objects requires characterizing the space of deformations in an interpretable manner, from articulations of a single...
