Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
NeurIPS 2020 Spotlight. This is the 3 minute talk video accompanying the paper at the virtual Neurips conference.
Project Page: https://bmild.github.io/fourfeat
Paper: https://arxiv.org/abs/2006.10739
Code: https://github.com/tancik/fourier-feature-networks
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Matthew Tancik*, Pratul P. Srinivasan*, Ben Mildenhall*, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, Ren Ng
*denotes equal contribution
Видео Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains канала Matthew Tancik
Project Page: https://bmild.github.io/fourfeat
Paper: https://arxiv.org/abs/2006.10739
Code: https://github.com/tancik/fourier-feature-networks
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Matthew Tancik*, Pratul P. Srinivasan*, Ben Mildenhall*, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, Ren Ng
*denotes equal contribution
Видео Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains канала Matthew Tancik
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Albuquerque: quondamBurton Conner i3 2014Burton Conner i3 2013Lamborghini Blender test renderStegaStamp: Invisible Hyperlinks in Physical PhotographsA Place in TimeNeRF: Neural Radiance FieldsLearned Initializations for Optimizing Coordinate-Based Neural RepresentationsFlash Photography for Data-Driven Hidden Scene Recovery