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Image matricielle

Publications associées (71)

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Current Dynamic Texture Synthesis (DyTS) models can synthesize realistic videos. However, they require a slow iterative optimization process to synthesize a single fixed-size short video, and they do not offer any post-training control over the synthesis p ...

2023

DyNCA: Real-time Dynamic Texture Synthesis Using Neural Cellular Automata

Sabine Süsstrunk, Tong Zhang, Ehsan Pajouheshgar, Yitao Xu

Los Alamitos2023

The demand for data storage has grown exponentially over the past decades. Current archival solutions have significant shortcomings, such as high resource requirements and a lack of sufficient longevity. In contrast, research on DNA-based storage has been ...

2023

Seeing Photons in Color

Edoardo Charbon, Claudio Bruschini, Paul Mos, Mohit Gupta

Megapixel single-photon avalanche diode (SPAD) arrays have been developed recently, opening up the possibility of deploying SPADs as general-purpose passive cameras for photography and computer vision. However, most previous work on SPADs has been limited ...

ASSOC COMPUTING MACHINERY2023

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This paper provides a validation of a novel sampling, storage, and evaluation method named raytraverse that can quickly and accurately compute glare and visual comfort metrics including vertical illuminance, Daylight Glare Probability (DGP), and Unified Gl ...

2022

reference data for "A Critical Comparison of Annual Glare Simulation Methods"

Jan Wienold, Stephen William Wasilewski

Scene and reference results files for: "A Critical Comparison of Annual Glare Simulation Methods" Stephen Wasilewski, Jan Wienold, Marilyne Andersen 2022 Buildsim Nordic, Copenhagen Contents: 01-06*.tar.gz: reference simulation image archives, one ...

Zenodo2022

image data compressed by view and season (months 1-2-3, 4-5-6, 7-8-9, 10-11-12) see 10.5281/zenodo.6322418 for source files ...

Zenodo2022

Human Detection and Segmentation via Multi-view Consensus

Pascal Fua, Mathieu Salzmann, Isinsu Katircioglu, Helge Jochen Rhodin

Self-supervised detection and segmentation of foreground objects aims for accuracy without annotated training data. However, existing approaches predominantly rely on restrictive assumptions on appearance and motion. For scenes with dynamic activities and ...

IEEE2021

DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation

Alexandre Massoud Alahi, Radu Timofte

Scalable Vector Graphics (SVG) are ubiquitous in modern 2D interfaces due to their ability to scale to different resolutions. However, despite the success of deep learning-based models applied to rasterized images, the problem of vector graphics representa ...

2020

2d-3d sculpture paintings

Sabine Süsstrunk, Roger Hersch, Mahmut Sami Arpa

We disclose a method for synthesizing by computer an artwork where 2D and 3D contents are integrated within a same composition. Such an artwork creates plausible effects for the viewers by showing a different relationship between 2D and 3D at each viewing ...

2020

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