A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
M. Arulampalam +3 more
exaly +2 more sources
3D Gaussian Splatting for Real-Time Radiance Field Rendering [PDF]
Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos. However, achieving high visual quality still requires neural networks that are costly to train and render, while recent faster ...
Bernhard Kerbl +3 more
semanticscholar +1 more source
4D Gaussian Splatting for Real-Time Dynamic Scene Rendering [PDF]
Representing and rendering dynamic scenes has been an important but challenging task. Especially, to accurately model complex motions, high efficiency is usually hard to guarantee.
Guanjun Wu +8 more
semanticscholar +1 more source
Modeling with generalized linear model on covid-19: Cases in Indonesia
The ongoing Covid-19 outbreak has made scientists continue to research this Covid-19 case. Most of the research carried out is on the prediction and modeling of Covid-19 data. This study will also discuss Covid-19 data modeling.
Subian Saidi +2 more
doaj +1 more source
DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation [PDF]
Recent advances in 3D content creation mostly leverage optimization-based 3D generation via score distillation sampling (SDS). Though promising results have been exhibited, these methods often suffer from slow per-sample optimization, limiting their ...
Jiaxiang Tang +4 more
semanticscholar +1 more source
A Robust Framework for Epidemic Analysis, Prediction and Detection of COVID-19
Covid-19 has become a pandemic that affects lots of individuals daily, worldwide, and, particularly, the widespread disruption in numerous countries, namely, the US, Italy, India, Saudi Arabia. The timely detection of this infectious disease is mandatory
Farman Hassan +4 more
doaj +1 more source
SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering [PDF]
We propose a method to allow precise and extremely fast mesh extraction from 3D Gaussian Splatting [15]. Gaussian Splatting has recently become very popular as it yields realistic rendering while being significantly faster to train than NeRFs.
Antoine Guédon, Vincent Lepetit
semanticscholar +1 more source
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising [PDF]
The discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance.
K. Zhang +4 more
semanticscholar +1 more source
PixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction [PDF]
We introduce pixelSplat, a feed-forward model that learns to reconstruct 3D radiance fields parameterized by 3D Gaussian primitives from pairs of images. Our model features real-time and memory-efficient rendering for scalable training as well as fast 3D
David Charatan +3 more
semanticscholar +1 more source
Telah dilakukan kajian persamaan diferensial stokastik bagi pergerakan kurs mata uang. Kajian terhadap rapat peluang return perlu dilakukan karena rapat peluang return menggambarkan fluktuasi kurs mata uang serta mencerminkan interaksi yang terjadi di ...
Isa Isnawanti, Dwi Satya Palupi
doaj +1 more source

