Results 111 to 120 of about 897,519 (241)

Photogrammetry and gaussian splatting to improve surface inspections

Physical inspections in various contexts (industrial, operational, medical, etc.) often require surface analysis, but how is it possible to review or improve past inspections retrospectively, even when the object under investigation is no longer ...
Domenico A. Maisano, Mattia Trombini, Fiorenzo Franceschini   +2 more
core   +1 more source

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, H. I. D. Pun, A. T. Wang, X. Sun, Q. Wu, H. Lee, A. X. Chang, M. Savva   +7 more
wiley   +1 more source

GaPMeS: Gaussian Patch-Level Mixture-of-Experts Splatting for Computation-Limited Sparse-View Feed-Forward 3D Reconstruction

Applied Sciences
To address the issues of parameter coupling and high computational demands in existing feed-forward Gaussian splatting methods, we propose Gaussian Patch-level Mixture-of-Experts Splatting (GaPMeS), a lightweight feed-forward 3D Gaussian reconstruction ...
Jinwen Liu, Wenchao Liu, Rui Guo
doaj   +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

Gaussian Splatting: 3D Reconstruction and Novel View Synthesis: A Review

IEEE Access
Image-based 3D reconstruction is a challenging task that involves inferring the 3D shape of an object or scene from a set of input images. Learning-based methods have gained attention for their ability to directly estimate 3D shapes.
Anurag Dalal, Daniel Hagen, Kjell G. Robbersmyr, Kristian Muri Knausgard   +3 more
doaj   +1 more source

Sound offset responses become highly informative in the auditory cortex

The Journal of Physiology, EarlyView.
Abstract figure legend Using large datasets of neural responses to diverse sounds recorded across four stages of the mouse auditory system (depicted and colour‐coded on the left), offset responses occurring after the termination of each sound (time window indicated by the orange shaded area superimposed with activity traces) were characterized and it ...
Charly Lamothe, Sophie Bagur, Etienne Gosselin, Brice Bathellier   +3 more
wiley   +1 more source

Distinctive neurophysiological correlates of sound onset and offset perception in humans

The Journal of Physiology, EarlyView.
Abstract figure legend Electroencephalography (EEG) recordings were obtained from participants listening to successive pairs of 1‐2 s noises in a silent background (Study 1) or successive pairs 1‐2 s silent gaps in a noise background (Study 2). Participants heard the same stimuli in the context of either a duration discrimination task (identifying ...
Fatima Ali, Gabriela Bury, Adèle Simon, Jennifer F. Linden   +3 more
wiley   +1 more source

Visualization of 3D Gaussian Splatting models in eXtended Reality Applications

openQuesto lavoro di tesi si concentra sull'integrazione della tecnica di Gaussian Splatting in ambienti di Realtà Estesa (XR) tramite Unity. L'obiettivo è stato sviluppare un'applicazione XR capace di visualizzare modelli 3D generati con Gaussian ...
RAHIMZADEH, SINA
core  

Dynamic Street-Scene Reconstruction with Semantic Priors and Temporal Constraints

Applied Sciences
Dynamic street-scene reconstruction from sparse viewpoints over long temporal spans is challenged by temporal instability, ghosting near occlusions, and background drift.
Qingwu Duan, Kaichen Ren, Mingsheng Huang, Jie Liu, Siyu Li, Sili Gao   +5 more
doaj   +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, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source