Zobrazeno 1 - 10
of 1 132
pro vyhledávání: '"P Agapito"'
Autor:
Taheri, Mojtaba, Cranney, Jesse, Marasco, Antonino, Monty, Stephanie, Massari, Davide, Agapito, Guido, Cresci, Giovanni, McDermid, Richard M., Rigaut, Francois, Neichel, Benoit, Brodrick, David, Plantet, Cédric
Publikováno v:
Proceedings of the SPIE, Volume 13096, id. 13096AJ 10 pp. (2024)
MAVIS (the MCAO-Assisted Visible Imager and Spectrograph), planned for the VLT Adaptive Optics Facility, represents an innovative step in Multi-Conjugate Adaptive Optics (MCAO) systems, particularly in its operation at visible wavelengths and anticip
Externí odkaz:
http://arxiv.org/abs/2410.12106
Autor:
Ó, Clarissa R. Do, Perera, Saavidra, Maire, Jérôme, Nguyen, Jayke S., Chambouleyron, Vincent, Konopacky, Quinn M., Chilcote, Jeffrey, Fitzsimmons, Joeleff, Hamper, Randall, Kerley, Dan, Macintosh, Bruce, Marois, Christian, Rantakyrö, Fredrik, Savranksy, Dmitry, Veran, Jean-Pierre, Agapito, Guido, Ammons, S. Mark, Bonaglia, Marco, Boucher, Marc-Andre, Dunn, Jennifer, Esposito, Simone, Filion, Guillaume, Landry, Jean Thomas, Lardiere, Olivier, Li, Duan, Madurowicz, Alex, Peng, Dillon, Poyneer, Lisa, Spalding, Eckhart
The Gemini Planet Imager (GPI) is a high contrast imaging instrument that aims to detect and characterize extrasolar planets. GPI is being upgraded to GPI 2.0, with several subsystems receiving a re-design to improve its contrast. To enable observati
Externí odkaz:
http://arxiv.org/abs/2410.01960
Autor:
Wang, Hengyi, Agapito, Lourdes
We present Spann3R, a novel approach for dense 3D reconstruction from ordered or unordered image collections. Built on the DUSt3R paradigm, Spann3R uses a transformer-based architecture to directly regress pointmaps from images without any prior know
Externí odkaz:
http://arxiv.org/abs/2408.16061
Autor:
Arcidiacono, Carmelo, Portaluri, Elisa, Gullieuszik, Marco, Cantiello, Michele, Annibali, Francesca, Ciliegi, Paolo, Simioni, Matteo, Fantinel, Daniela, Agapito, Guido, Magrin, Demetrio
We report results from numerical simulations assessing astrometry measurements with the Multiconjugate Adaptive Optics Relay for ELT Observations (MORFEO) instrument on the Extremely Large Telescope (ELT). Using the Advanced Exposure Time Calculator
Externí odkaz:
http://arxiv.org/abs/2407.09135
The calibration of future wide field adaptive optics (WFAO) systems requires knowledge of the geometry of the system, in particular the alignment parameters between the sub-apertures of the wavefront sensors (WFS), pupil and deformable mirror (DM) ac
Externí odkaz:
http://arxiv.org/abs/2406.15336
Human motion generation has paramount importance in computer animation. It is a challenging generative temporal modelling task due to the vast possibilities of human motion, high human sensitivity to motion coherence and the difficulty of accurately
Externí odkaz:
http://arxiv.org/abs/2406.07169
Publikováno v:
SIGGRAPH Asia 2024 Conference Papers (SA Conference Papers '24), December 3-6, 2024, Tokyo, Japan
The creation of high-fidelity, digital versions of human heads is an important stepping stone in the process of further integrating virtual components into our everyday lives. Constructing such avatars is a challenging research problem, due to a high
Externí odkaz:
http://arxiv.org/abs/2405.19331
We present HAHA - a novel approach for animatable human avatar generation from monocular input videos. The proposed method relies on learning the trade-off between the use of Gaussian splatting and a textured mesh for efficient and high fidelity rend
Externí odkaz:
http://arxiv.org/abs/2404.01053
Publikováno v:
AO4ELT7 proceedings 2023
The upcoming extremely large telescopes will have to deal with the so-called ''pupil fragmentation'' effect: for what concerns the Extremely Large Telescope (ELT), the presence of thick spider legs supporting the secondary mirror may induce unseen ph
Externí odkaz:
http://arxiv.org/abs/2312.12898
Autor:
Jang, Wonbong, Agapito, Lourdes
We propose NViST, a transformer-based model for efficient and generalizable novel-view synthesis from a single image for real-world scenes. In contrast to many methods that are trained on synthetic data, object-centred scenarios, or in a category-spe
Externí odkaz:
http://arxiv.org/abs/2312.08568