no code implementations • 25 Jul 2023 • Will Rowan, Patrik Huber, Nick Pears, Andrew Keeling
Our synthesis method conditions Stable Diffusion on depth maps sampled from the FLAME 3D Morphable Model (3DMM) of the human face, allowing us to generate a diverse set of shape-consistent facial images that is designed to be balanced in race and gender.
no code implementations • 5 Mar 2023 • Will Rowan, Patrik Huber, Nick Pears, Andrew Keeling
We present the first 3D morphable modelling approach, whereby 3D face shape can be directly and completely defined using a textual prompt.
no code implementations • 13 May 2022 • Will Rowan, Nick Pears
We apply this framework to investigate the effect of temporal dependency on a model's deepfake detection performance.