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A higher performance shape from focus strategy based on unsupervised deep learning for 3D shape reconstruction
Shape From Focus (SFF) is one of the most popular strategies for reconstructing object’s 3D shape, which doesn’t require any additional technology....
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3D in Processing
We start this new section with an introduction to the basic concepts in 3D programming with Processing: coordinate systems, 3D transformations,...
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Variational autoencoders for 3D data processing
Variational autoencoders (VAEs) play an important role in high-dimensional data generation based on their ability to fuse the stochastic data...
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A survey of deep learning-based 3D shape generation
Deep learning has been successfully used for tasks in the 2D image domain. Research on 3D computer vision and deep geometry learning has also...
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Data-Driven 3D Shape Completion with Product Units
Three-dimensional point clouds play a fundamental role in a wide array of fields, spanning from computer vision to robotics and autonomous...
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MEAN: An attention-based approach for 3D mesh shape classification
3D shape processing is a fundamental computer application. Specifically, 3D mesh could provide a natural and detailed way for object representation....
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Recent advances in implicit representation-based 3D shape generation
Various techniques have been developed and introduced to address the pressing need to create three-dimensional (3D) content for advanced applications...
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Free editing of Shape and Texture with Deformable Net for 3D Caricature Generation
2D caricature editing has shown superior performance. However, 3D exaggerated caricature face (ECF) modeling with flexible shape and texture editing...
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Improved biharmonic kernel signature for 3D non-rigid shape matching and retrieval
Object retrieval, in particular 3D shape retrieval, recently has many applications such as molecular biology, medical research and computer-aided...
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3D shape classification based on global and local features extraction with collaborative learning
It is important to extract both global and local features for view-based 3D shape classification. Therefore, we propose a 3D shape classification...
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3D Point Cloud Data and Processing
3D point cloud data can be obtained by laser scanning or photogrammetry and can also be seen as a representation of 3D digitization of the physical...
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3D hand pose and shape estimation from monocular RGB via efficient 2D cues
Estimating 3D hand shape from a single-view RGB image is important for many applications. However, the diversity of hand shapes and postures, depth...
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Semi-supervised 3D shape segmentation with multilevel consistency and part substitution
The lack of fine-grained 3D shape segmentation data is the main obstacle to develo** learning-based 3D segmentation techniques. We propose an...
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Three stages of 3D virtual try-on network with appearance flow and shape field
The virtual try-on technology can satisfy the demands for online shop** and help consumers experience online clothes through image generation...
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Zero3D: Semantic-Driven 3D Shape Generation for Zero-Shot Learning
Semantic-driven 3D shape generation aims to generate 3D shapes conditioned on textual input. However, previous approaches have faced challenges with...
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A viewpoint-guided prototype network for 3D shape classification
Multi-view learning methods have achieved remarkable results in 3D shape recognition. However, most of them focus on the visual feature extraction...
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3D estimation of single-view 2d images using shape priors and transfer learning
Humans possess a natural ability to infer the three-dimensional (3D) structure of a scene by leveraging prior knowledge and visual understanding....
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Wavelet transform-assisted generative model for efficient 3d deep shape generation
Unsupervised deep learning has been widely employed to generate high-quality samples. While its potential for point clouds generation tasks has...
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ROSA-Net: Rotation-Robust Structure-Aware Network for Fine-Grained 3D Shape Retrieval
Fine-grained 3D shape retrieval aims to retrieve 3D shapes similar to a query shape in a repository with models belonging to the same class, which...
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3D Shape Reconstruction from Free-Hand Sketches
Sketches are arguably the most abstract 2D representations of real-world objects. Although a sketch usually has geometrical distortion and lacks...