Towards Efficient Modelling of String Dynamics: A Comparison of State Space and Koopman based Deep Learning Methods

no code implementations • 29 Aug 2024 • Rodrigo Diaz, Carlos De La Vega Martin, Mark Sandler

This paper presents an examination of State Space Models (SSM) and Koopman-based deep learning methods for modelling the dynamics of both linear and non-linear stiff strings.

AI (r)evolution -- where are we heading? Thoughts about the future of music and sound technologies in the era of deep learning

no code implementations • 20 Sep 2023 • Giovanni Bindi, Nils Demerlé, Rodrigo Diaz, David Genova, Aliénor Golvet, Ben Hayes, Jiawen Huang, Lele Liu, Vincent Martos, Sarah Nabi, Teresa Pelinski, Lenny Renault, Saurjya Sarkar, Pedro Sarmento, Cyrus Vahidi, Lewis Wolstanholme, Yixiao Zhang, Axel Roebel, Nick Bryan-Kinns, Jean-Louis Giavitto, Mathieu Barthet

The students represent the future generation of AI and music researchers.

Multi-View Mesh Reconstruction with Neural Deferred Shading

1 code implementation • CVPR 2022 • Markus Worchel, Rodrigo Diaz, Weiwen Hu, Oliver Schreer, Ingo Feldmann, Peter Eisert

While flexible, neural surface representations are a significant bottleneck in optimization runtime.

3D Reconstruction Multi-View 3D Reconstruction +1

Rigid-Body Sound Synthesis with Differentiable Modal Resonators

1 code implementation • 27 Oct 2022 • Rodrigo Diaz, Ben Hayes, Charalampos Saitis, György Fazekas, Mark Sandler

Physical models of rigid bodies are used for sound synthesis in applications from virtual environments to music production.