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Segmentation-driven feature-preserving mesh denoising
Feature-preserving mesh denoising has received noticeable attention in visual media, with the aim of recovering high-fidelity, clean mesh shapes from...
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MeT: mesh transformer with an edge
Transformers have been widely applied in various vision tasks processing different data, such as images, videos and point clouds. However, the use of...
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Hierarchical Volume Mesh Model of Heterogeneous Media Based on Non-Destructive Imaging Data
In this paper, we have proposed an algorithm for building a hierarchical 3D mesh model of heterogeneous media, native or human-made, described by a...
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3D model representation using space curves: an efficient mesh simplification method by exchanging triangulated mesh to space curves
Simplification of Computer-Aided-Design models plays an important role in reducing the complex features of man-made objects produced according to...
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Consistent 3D human body segmentation based on combinatorial descriptor in spectral domain
Consistent 3D human body segmentation plays a vital role in many human-oriented applications. Recently research used supervised methods to achieve...
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Laplacian Mesh Transformer: Dual Attention and Topology Aware Network for 3D Mesh Classification and Segmentation
Deep learning-based approaches for shape understanding and processing tasks have attracted considerable attention. Despite the great progress that...
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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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3D mesh segmentation via L0-constrained random walks
3D mesh segmentation is a challenging problem in computer graphics, computer vision, and multimedia. In this paper, we cast mesh segmentation as a L 0 ...
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Hierarchical Edge Aware Learning for 3D Point Cloud
This paper proposes an innovative approach to Hierarchical Edge Aware 3D Point Cloud Learning (HEA-Net) that seeks to address the challenges of noise...
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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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Boundary-Constrained Graph Network for Tooth Segmentation on 3D Dental Surfaces
Accurate tooth segmentation on 3D dental models is an important task in computer-aided dentistry. In recent years, several deep learning-based...
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A full-set tooth segmentation model based on improved PointNet++
Segmentation of a complete set of teeth from three-dimensional (3D) intra-oral scanner images is a crucial step in tooth identification procedures....
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To-Former: semantic segmentation of transparent object with edge-enhanced transformer
Transparent objects are widely present in our daily environment. The precise semantic segmentation of transparent objects is crucial for enhancing...
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A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation
Point cloud analysis has a wide range of applications in many areas such as computer vision, robotic manipulation, and autonomous driving. While deep...
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Retrieval-and-alignment based large-scale indoor point cloud semantic segmentation
Current methods for point cloud semantic segmentation depend on the extraction of descriptive features. However, unlike images, point clouds are...
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Generation of realistic synthetic cable images to train deep learning segmentation models
Semantic segmentation is one of the most important and studied problems in machine vision, which has been solved with high accuracy by many deep...
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SegViT v2: Exploring Efficient and Continual Semantic Segmentation with Plain Vision Transformers
This paper investigates the capability of plain Vision Transformers (ViTs) for semantic segmentation using the encoder–decoder framework and...
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Attention-guided LiDAR segmentation and odometry using image-to-point cloud saliency transfer
LiDAR odometry estimation and 3D semantic segmentation are crucial for autonomous driving, which has achieved remarkable advances recently. However,...
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Hierarchical vectorization for facial images
The explosive growth of social media means portrait editing and retouching are in high demand. While portraits are commonly captured and stored as...
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Iterative learning for maxillary sinus segmentation based on bounding box annotations
An accurate segmentation of the maxillary sinus (MS) is helpful for preoperative planning of dental implantation, diagnosis and evaluation of...
