Embedding a face image to a descriptor vector using a deep CNN is a wide...
In this paper we propose a novel method for zero-shot, cross-domain imag...
We propose to tackle the multiview photometric stereo problem using an
e...
Inverse rendering is an ill-posed problem. Previous work has sought to
r...
Outdoor scene relighting is a challenging problem that requires good
und...
In this paper we show how to perform scene-level inverse rendering to re...
Almost universally in computer vision, when surface derivatives are requ...
In this paper, we bring together two divergent strands of research:
phot...
Three-dimensional Morphable Models (3DMMs) are powerful statistical tool...
In this paper, we provide a detailed survey of 3D Morphable Face Models ...
In this paper, we propose a hybrid depth imaging system in which a
polar...
Three-dimensional Morphable Models (3DMMs) are powerful statistical tool...
We propose a novel biophysical and dichromatic reflectance model that
ef...
We show how to train a fully convolutional neural network to perform inv...
We generalise Spatial Transformer Networks (STN) by replacing the parame...
In this paper we present a differential approach to photo-polarimetric s...
In this paper, we show how a 3D Morphable Model (i.e. a statistical mode...
A face image contains geometric cues in the form of configurational
info...
We present a practical approach to capturing ear-to-ear face models
comp...
We propose a fully automatic method for fitting a 3D morphable model to
...