71 citations · 209 across the 12 of their papers we have counts for
13 papers
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,…
Neural Implicit Surface Reconstruction from Noisy Camera Observations
Sarthak Gupta, Patrik Huber
Representing 3D objects and scenes with neural radiance fields has become very popular over the last years. Recently, surface-based representations have been proposed, that allow t…
Neural apparent BRDF fields for multiview photometric stereo
Meghna Asthana, William A. P. Smith, Patrik Huber
We propose to tackle the multiview photometric stereo problem using an extension of Neural Radiance Fields (NeRFs), conditioned on light source direction. The geometric part of our…
Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild
Zhen-Hua Feng, Patrik Huber, Josef Kittler +5
This paper investigates the evaluation of dense 3D face reconstruction from a single 2D image in the wild. To this end, we organise a competition that provides a new benchmark data…