Concept
Volume rendering
Related publications (205)
Advancing Self-Supervised Deep Learning for 3D Scene Understanding
Recent advancements in deep learning have revolutionized 3D computer vision, enabling the extraction of intricate 3D information from 2D images and video sequences. This thesis explores the application of deep learning in three crucial challenges of 3D com ...
EPFL2024Modular segmentation, spatial analysis and visualization of volume electron microscopy datasets
Volume electron microscopy is the method of choice for the in situ interrogation of cellular ultrastructure at the nanometer scale, and with the increase in large raw image datasets generated, improving computational strategies for image segmentation and s ...
Berlin2024Three-dimensional micro-CT images of UV-frozen flow fronts recorded at different flow regimes
Véronique Michaud, Jacobus Gerardus Rudolph Staal
Segmented micro-CT images of flow fronts produced by UV-flow freezing. Front morphologies correspond to capilary-dominated, equilibrated and viscous-dominated flow regimes. ...
Zenodo2023DrapeNet: Garment Generation and Self-Supervised Draping
Pascal Fua, Mathieu Salzmann, Benoît Alain René Guillard, Ren Li, Luca De Luigi
Recent approaches to drape garments quickly over arbitrary human bodies leverage self-supervision to eliminate the need for large training sets. However, they are designed to train one network per clothing item, which severely limits their generalization a ...
2023DrapeNet: Garment Generation and Self-Supervised Draping
Pascal Fua, Mathieu Salzmann, Benoît Alain René Guillard, Ren Li, Luca De Luigi
Recent approaches to drape garments quickly over arbitrary human bodies leverage self-supervision to eliminate the need for large training sets. However, they are designed to train one network per clothing item, which severely limits their generalization a ...
Los Alamitos2023Unsupervised Visual Entity Abstraction towards 2D and 3D Compositional Models
Object-centric learning has gained significant attention over the last years as it can serve as a powerful tool to analyze complex scenes as a composition of simpler entities. Well-established tasks in computer vision, such as object detection or instance ...
EPFL2022Sub-micrometer morphology of human atherosclerotic plaque revealed by synchrotron radiation-based mu CT-A comparison with histology
Histology is a long standing and well-established gold standard for pathological characterizations. In recent years however, synchrotron radiation-based micro-computed tomography (SR mu CT) has become a tool for extending the imaging of two-dimensional thi ...
PUBLIC LIBRARY SCIENCE2022Weakly Supervised Volumetric Image Segmentation with Deformed Templates
Pascal Fua, Pamuditha Udaranga Wickramasinghe, Patrick Moller Jensen, Mian Akbar Shah
There are many approaches to weakly-supervised training of networks to segment 2D images. By contrast, existing approaches to segmenting volumetric images rely on full-supervision of a subset of 2D slices of the 3D volume. We propose an approach to volume ...
2022OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift
Jean-Philippe Thiran, Guillaume Marc Georges Vray, Devavrat Tomar
As distribution shifts are inescapable in realistic clinical scenarios due to inconsistencies in imaging protocols, scanner vendors, and across different centers, well-trained deep models incur a domain generalization problem in unseen environments. Despit ...
PMLR2022Object Priors for Volumetric Image Segmentation
Pamuditha Udaranga Wickramasinghe
Large training datasets have played a vital role in the success of modern deep learning methods in computer vision. But, obtaining sufficient amount of training data is challenging, specially when annotating volumetric images. This is because fully annotat ...
EPFL2022