Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Aira, Luca Savant"'
Publikováno v:
NeurIPS 2024
Generating videos with realistic and physically plausible motion is one of the main recent challenges in computer vision. While diffusion models are achieving compelling results in image generation, video diffusion models are limited by heavy trainin
Externí odkaz:
http://arxiv.org/abs/2405.13557
Autor:
Aira, Luca Savant, Valsesia, Diego, Molini, Andrea Bordone, Fracastoro, Giulia, Magli, Enrico, Mirabile, Andrea
Multi-image super-resolution (MISR) allows to increase the spatial resolution of a low-resolution (LR) acquisition by combining multiple images carrying complementary information in the form of sub-pixel offsets in the scene sampling, and can be sign
Externí odkaz:
http://arxiv.org/abs/2401.16972
Computational models of vision have traditionally been developed in a bottom-up fashion, by hierarchically composing a series of straightforward operations - i.e. convolution and pooling - with the aim of emulating simple and complex cells in the vis
Externí odkaz:
http://arxiv.org/abs/2203.11910
Publikováno v:
Simone Azeglio
Computational models of vision have traditionally been developed in a bottom-up fashion, by hierarchically composing a series of straightforward operations - i.e. convolution and pooling - with the aim of emulating simple and complex cells in the vis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adc52f0dde1b6b2d9dc967ac214e8f77
http://arxiv.org/abs/2203.11910
http://arxiv.org/abs/2203.11910