Results 91 to 100 of about 2,993 (218)

Automatic 3D Reconstruction: Mesh Extraction Based on Gaussian Splatting from Romanesque–Mudéjar Churches

Applied Sciences
This research introduces an automated 3D virtual reconstruction system tailored for architectural heritage (AH) applications, contributing to the ongoing paradigm shift from traditional CAD-based workflows to artificial intelligence-driven methodologies.
Nelson Montas-Laracuente, Emilio Delgado Martos, Carlos Pesqueira-Calvo, Giovanni Intra Sidola, Ana Maitín, Alberto Nogales, Álvaro José García-Tejedor   +6 more
doaj   +1 more source

Real‐Time Per‐Garment Virtual Try‐On with Temporal Consistency for Loose‐Fitting Garments

Computer Graphics Forum, Volume 44, Issue 7, October 2025.
Abstract Per‐garment virtual try‐on methods collect garment‐specific datasets and train networks tailored to each garment to achieve superior results. However, these approaches often struggle with loose‐fitting garments due to two key limitations: (1) They rely on human body semantic maps to align garments with the body, but these maps become ...
Zaiqiang Wu, I‐Chao Shen, Takeo Igarashi   +2 more
wiley   +1 more source

EVOLUTION OF RENDERING BASED ON RADIANCE FIELDS. THE PALERMO CASE STUDY FOR A COMPARISON BETWEEN NERF AND GAUSSIAN SPLATTING [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
In recent years there has been a rapid diffusion of new digitization methodologies based on radiance fields and the implementation of new rendering processes and learning systems based on neural networks.
A. Basso, F. Condorelli, A. Giordano, S. Morena, M. Perticarini   +4 more
doaj   +1 more source

3D Gaussian Splat Vulnerabilities

With 3D Gaussian Splatting (3DGS) being increasingly used in safety-critical applications, how can an adversary manipulate the scene to cause harm? We introduce CLOAK, the first attack that leverages view-dependent Gaussian appearances - colors and textures that change with viewing angle - to embed adversarial content visible only from specific ...
Hull, Matthew, Yang, Haoyang, Mehta, Pratham, Phute, Mansi, Cho, Aeree, Wang, Haoran, Lau, Matthew, Lee, Wenke, Lunardi, Willian T., Andreoni, Martin, Chau, Polo   +10 more
openaire   +2 more sources

CoGS: Controllable Gaussian Splatting

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Capturing and re-animating the 3D structure of articulated objects present significant barriers. On one hand, methods requiring extensively calibrated multi-view setups are prohibitively complex and resource-intensive, limiting their practical applicability.
Yu, Heng, Julin, Joel, Milacski, Zoltán Á., Niinuma, Koichiro, Jeni, László A.   +4 more
openaire   +2 more sources

Integration and Development of Common Data Environment Platforms for the Hybrid Visualization of Quantitative and Qualitative Data [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The digitalization of architectural heritage requires the integration of interoperable tools for the documentation, modeling, and sharing of cultural assets.
M. Perticarini, A. Giordano
doaj   +1 more source

GaussNav: Gaussian Splatting for Visual Navigation

IEEE Transactions on Pattern Analysis and Machine Intelligence
journal
Xiaohan Lei, Min Wang, Wengang Zhou, Houqiang Li   +3 more
openaire   +3 more sources

3D reconstruction for unconstrained image collections using Gaussian Splatting with foundation model

Geo-spatial Information Science
Achieving high-quality rendering with Gaussian Splatting for unconstrained image collections is critical for advancing 3D reconstruction. Currently, the methods using a single multi-layer perceptron and convolutional neural network to predict distractors
Shuowen Huang, Qingwu Hu, Pengcheng Zhao, Mingyao Ai, Xujie Zhang, Wenwu Ou, Linze Li   +6 more
doaj   +1 more source

Modeling Uncertainty in 3D Gaussian Splatting Through Continuous Semantic Splatting

2025 IEEE International Conference on Robotics and Automation (ICRA)
In this paper, we present a novel algorithm for probabilistically updating and rasterizing semantic maps within 3D Gaussian Splatting (3D-GS). Although previous methods have introduced algorithms which learn to rasterize features in 3D-GS for enhanced scene understanding, 3D-GS can fail without warning which presents a challenge for safety-critical ...
Wilson, Joey, Almeida, Marcelino, Sun, Min, Mahajan, Sachit, Ghaffari, Maani, Ewen, Parker, Ghasemalizadeh, Omid, Kuo, Cheng-Hao, Sen, Arnie   +8 more
openaire   +2 more sources

SurfelWarp: Efficient Non-Volumetric Single View Dynamic Reconstruction

, 2019
We contribute a dense SLAM system that takes a live stream of depth images as input and reconstructs non-rigid deforming scenes in real time, without templates or prior models.
Gao, Wei, Tedrake, Russ
core   +1 more source