Tagged: deep learning

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No New Messages

An old iPhone recording (2016) of a scam telephone call, using a synthesized voice, recorded on an old answering machine (2000) that uses an even older synthetic voice, meets NVIDIA’s Audio2Face (2021) – ‘an AI-powered application that generates expressive facial animation from just an audio source.’ A conjunction both sinister...

Hurley - Bage - Mawson, 3D Reconstruction 0

AAE: Digital Ghosts Project

The AAE Digital Ghosts project develops and implements novel techniques in Deep Learning (DL) in application to Antarctic Cultural Heritage. Recent developments in DL facilitate the automated colourisation and extraction (or recreation) of three-dimensional data from black and white source photographs. In concert with conventional 3D-modelling and animation techniques, these reveal...

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Deep Learning for Heritage Visualisation

Deep Learning can be employed in a variety of cultural heritage visualisation and reconstruction tasks. It is part of a family of machine learning approaches based upon the idea of ‘learning’ data representations through kernel-based algorithms that encode high dimensional abstractions in ‘deep’ or embedded artificial neural networks (ANNs). There...