71 citations · 209 across the 12 of their papers we have counts for
3 papers · 1 filter
Fake It Without Making It: Conditioned Face Generation for Accurate 3D Face Reconstruction
Will Rowan, Patrik Huber, Nick Pears +1
Accurate 3D face reconstruction from 2D images is an enabling technology with applications in healthcare, security, and creative industries. However, current state-of-the-art metho…
ID2image: Leakage of non-ID information into face descriptors and inversion from descriptors to images
Mingrui Li, William A. P. Smith, Patrik Huber
Embedding a face image to a descriptor vector using a deep CNN is a widely used technique in face recognition. Via several possible training strategies, such embeddings are suppose…
Text2Face: A Multi-Modal 3D Face Model
Will Rowan, Patrik Huber, Nick Pears +1
We present the first 3D morphable modelling approach, whereby 3D face shape can be directly and completely defined using a textual prompt. Building on work in multi-modal learning,…