Results 81 to 90 of about 3,364 (218)
Applied SciencesTo 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
Geometry-Based Next Frame Prediction from Monocular Video
, 2017 We consider the problem of next frame prediction from video input. A recurrent convolutional neural network is trained to predict depth from monocular video input, which, along with the current video image and the camera trajectory, can then be used to ...
Angelova, Anelia +2 more
core +1 more source
Painterly rendering techniques: A state-of-the-art review of current approaches [PDF]
, 2012 In this publication we will look at the different methods presented over the past few decades which attempt to recreate digital paintings. While previous surveys concentrate on the broader subject of non-photorealistic rendering, the focus of this paper ...
Gatzidis, Christos +2 more
core +1 more source
Deblur Gaussian Splatting SLAM
CoRRWe present Deblur-SLAM, a robust RGB SLAM pipeline designed to recover sharp reconstructions from motion-blurred inputs. The proposed method bridges the strengths of both frame-to-frame and frame-to-model approaches to model sub-frame camera trajectories that lead to high-fidelity reconstructions in motion-blurred settings.
Francesco Girlanda +3 more
openaire +2 more sources
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 +3 more
wiley +1 more source
Improving Structure-From-Motion and Rendering Quality for Thermal Image-Based 3D Gaussian Splatting
IEEE AccessNovel-view synthesis, which generates new views from images captured at multiple viewpoints, is widely applied in fields such as autonomous driving, robotic vision, architecture, and augmented reality.
Jinhoon Wang, Jusang Jeong, Junghyun Oh
doaj +1 more source
Splat-LOAM: Gaussian Splatting LiDAR Odometry and Mapping
CoRRLiDARs provide accurate geometric measurements, making them valuable for ego-motion estimation and reconstruction tasks. Although its success, managing an accurate and lightweight representation of the environment still poses challenges. Both classic and NeRF-based solutions have to trade off accuracy over memory and processing times.
Emanuele Giacomini +4 more
openaire +2 more sources
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
Dynamic Street-Scene Reconstruction with Semantic Priors and Temporal Constraints
Applied SciencesDynamic street-scene reconstruction from sparse viewpoints over long temporal spans is challenged by temporal instability, ghosting near occlusions, and background drift.
Qingwu Duan +5 more
doaj +1 more source
GiViP: A Visual Profiler for Distributed Graph Processing Systems
, 2017 Analyzing large-scale graphs provides valuable insights in different application scenarios. While many graph processing systems working on top of distributed infrastructures have been proposed to deal with big graphs, the tasks of profiling and debugging
A Arleo +36 more
core +1 more source