Results 121 to 130 of about 5,839,842 (237)
Artificial Intelligence in Intraoral Scanning: A Narrative Review
ABSTRACT Intraoral scanning (IOS) enables the acquisition of three‐dimensional surface models of dental and oral structures, supporting diagnosis, treatment planning and digital workflows. However, many processing steps remain operator‐dependent and time‐consuming. The integration of artificial intelligence (AI) with intraoral scanning (IOS) represents
Camila Tirapelli +5 more
wiley +1 more source
A survey on weakly supervised 3D point cloud semantic segmentation
With the popularity and advancement of 3D point cloud data acquisition technologies and sensors, research into 3D point clouds has made considerable strides based on deep learning.
Yu Liu +3 more
core +1 more source
EvolvED: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models
EvolvED visualises how diffusion models generate images by embedding intermediate outputs to preserve semantics and evolutionary structure. It supports analysis via (a) user‐defined goals and prompts, (b) sampling intermediate images, (c) extracting relevant features, and (d) visualising them in structured radial and rectilinear layouts for ...
Vidya Prasad +5 more
wiley +1 more source
We present design considerations for animated transitions of the appearance of 3D spatial datasets in a hybrid Augmented Reality‐desktop context. Such hybrid interfaces combine both traditional and immersive displays to facilitate the exploration of 2D and 3D data representations in the environment in which they are best displayed.
Yucheng Lu +6 more
wiley +1 more source
Style Brush: Guided Style Transfer for 3D Objects
We introduce Style Brush, a guided 3D style‐transfer method for textured meshes that provides precise creative control. It supports the use of multiple style images, smooth transitions and intuitive guidance, producing visually appealing textures that follow user intent as we demonstrate in our user study and results. Abstract We introduce Style Brush,
Áron Samuel Kovács +2 more
wiley +1 more source
A Survey of Methods for Constructing 3D Urban Models From Point Clouds
The survey outlines a general process for constructing 3D models from point clouds and categorizes the methods based on their use of templates, basic surface primitives, hybrid approaches, or linear primitives. Additionally, the survey reviews the datasets and benchmarks that are essential for testing and training the developed methods.
Chiara Romanengo +5 more
wiley +1 more source
3D Character Reconstruction from Hand‐drawn Model Sheets
Abstract Hand‐drawn model sheets are widely used in character design to define 3D shape and appearance through sparse multi‐view drawings. Reconstructing 3D characters from such sparse inputs has traditionally been challenging due to insufficient visual information.
Hyejeong Yoon +3 more
wiley +1 more source
Spatial Aggregation Net: Point Cloud Semantic Segmentation Based on Multi-Directional Convolution. [PDF]
Cai G +6 more
europepmc +1 more source
Multi‐Spectral Gaussian Splatting with Neural Color Representation
Abstract 3D Gaussian Splatting (3DGS) [KKLD23] has transformed novel‐view synthesis from RGB images, yet remains restricted to the visible spectrum. Many applications, including agricultural monitoring, rely on multi‐spectral imaging, where spectral camera alignment and scalability pose major challenges.
Lukas Meyer +5 more
wiley +1 more source
Self‐supervised Learning of Fine‐to‐Coarse Cuboid Shape Abstraction
Abstract The abstraction of 3D objects with simple geometric primitives like cuboids allows us to infer structural information from complex geometry. It is important for 3D shape understanding, structural analysis and geometric modeling. We introduce a novel fine‐to‐coarse self‐supervised learning approach to abstract collections of 3D shapes.
Gregor Kobsik +6 more
wiley +1 more source

