Results 91 to 100 of about 744 (143)
Survey on Compositional 3D Indoor Scene Generation
Computer Graphics Forum, EarlyView.This survey provides a comprehensive overview of compositional 3D indoor scene generation, introducing a unified framework for categorizing existing methods, comparing their strengths and limitations and identifying key challenges and future research directions.
H. I. I. Tam +7 more
wiley +1 more source
Recent Trends in Inverse Rendering
Computer Graphics Forum, EarlyView.This survey reviews 84 papers published between 2020 and 2025 on inverse rendering methods, introducing a taxonomy based on input data, scene representations, optimization strategies, and evaluation methods. We analyze emerging trends in neural, differentiable, and Gaussian‐splatting approaches, discuss applications, and identify key challenges and ...
S. Ullah, F. Pellacini, A. Giachetti
wiley +1 more source
European Journal of Oral Sciences, EarlyView.Abstract This systematic review provides a broad overview of three distinct applications of artificial intelligence (AI) in facial soft‐tissue assessment: landmark localization, automated facial measurement, and classification of soft‐tissue conditions in orthodontic and dentofacial evaluation.
Hugo Henrique dos Santos Dantas Guimarães +1 more
wiley +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
Deep Learning-Based Stereopsis and Monocular Depth Estimation Techniques: A Review
VehiclesA lot of research has been conducted in recent years on stereo depth estimation techniques, taking the traditional approach to a new level such that it is in an appreciably good form for competing in the depth estimation market with other methods ...
Somnath Lahiri, Jing Ren, Xianke Lin
doaj +1 more source
Nanophotonics, Volume 15, Issue 19, 13 October 2026.To address the trade‐off between depth discriminability and texture preservation in PSF‐engineered imaging, a polarization‐multiplexed metalens is developed to decouple depth estimation from extended‐depth‐of‐field texture acquisition. The DH‐derived depth guides depth‐matched Airy PSF selection for non‐blind texture recovery, while computational ...
Xinyi Tian +12 more
wiley +1 more source
Applied SciencesMonocular depth estimation (MDE) is a critical task in computer vision with applications in autonomous driving, robotics, and augmented reality. However, predicting depth from a single image poses significant challenges, especially in dynamic scenes ...
Akmalbek Abdusalomov +4 more
doaj +1 more source
Language-Based Depth Hints for Monocular Depth Estimation
CoRR8 pages, 1 figure.
Dylan Auty, Krystian Mikolajczyk
openaire +3 more sources
Mono-ViM: A Self-Supervised Mamba Framework for Monocular Depth Estimation in Endoscopic Scenes
MathematicsSelf-supervised depth estimation methods enable the recovery of scene depth information from monocular endoscopic images, thereby assisting endoscopic navigation.
Shengli Chen +5 more
doaj +1 more source
Deep Neural Networks for Accurate Depth Estimation with Latent Space Features
BiomimeticsDepth estimation plays a pivotal role in advancing human–robot interactions, especially in indoor environments where accurate 3D scene reconstruction is essential for tasks like navigation and object handling.
Siddiqui Muhammad Yasir, Hyunsik Ahn
doaj +1 more source