Concept
3D scanning
Publications associées (761)
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Existing concrete buildings should be retained for as long as possible to reduce the environmental burden of demolition and new construction. However, when urban pressure makes demolition unavoidable, salvaging and reusing concrete elements elsewhere in ne ...
2024Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations
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Cardiac digital twins provide a physics and physiology informed framework to deliver personalized medicine. However, high-fidelity multi-scale cardiac models remain a barrier to adoption due to their extensive computational costs. Artificial Intelligence-b ...
Nature Portfolio20243D reconstruction of curvilinear one-dimensional objects viewed in transmission electron microscopy
To obtain a more complete understanding of material microstructure at the nanoscale and to gain profound insights into their properties, there is a growing need for more efficient and precise methods that can streamline the process of 3D imaging using a tr ...
EPFL2023AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration
In the current deep learning paradigm, the amount and quality of training data are as critical as the network architecture and its training details. However, collecting, processing, and annotating real data at scale is difficult, expensive, and time-consum ...
Ieee Computer Soc2023Tracking Adaptation to Improve SuperPoint for 3D Reconstruction in Endoscopy
Endoscopy is the gold standard procedure for early detection and treatment of numerous diseases. Obtaining 3D reconstructions from real endoscopic videos would facilitate the development of assistive tools for practitioners, but it is a challenging problem ...
Springer2023Deep Learning for 3D Surface Modelling and Reconstruction
In recent years, there has been a significant revolution in the field of deep learning, which has demonstrated its effectiveness in automatically capturing intricate patterns from large datasets. However, the majority of these successes in Computer Vision ...
EPFL2023Machine-Learning-Enhanced Procedural Modeling for 4D Historical Cities Reconstruction
Frédéric Kaplan, Isabella Di Lenardo, Rémi Guillaume Petitpierre, Beatrice Vaienti
The generation of 3D models depicting cities in the past holds great potential for documentation and educational purposes. However, it is often hindered by incomplete historical data and the specialized expertise required. To address these challenges, we p ...
20233D representation of meso-voids location and morphology within the fibrous pore space of three carbon fabrics
Véronique Michaud, Helena Luisa Teixido Pedarros
Segmented meso-voids from a tomography scan of preforms impregnated under capillary dominated conditions, combined to 3D scans of the initial prefrom dry state. ...
EPFL Infoscience2023ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns
Pascal Fua, Benoît Alain René Guillard, Ren Li
Many approaches to draping individual garments on human body models are realistic, fast, and yield outputs that are differentiable with respect to the body shape on which they are draped. However, they are either unable to handle multi-layered clothing, wh ...
2023Automated post-earthquake damage assessment of stone masonry buildings integrating machine learning, computer vision, and physics-based modeling
Current post-earthquake damage assessment methodologies are not only time-consuming but also subjective in nature and difficult to document. Recent advancements in artificial intelligence and technological devices make it possible to accomplish this task a ...
EPFL2023