3D Face Modelling
21 papers with code • 2 benchmarks • 4 datasets
Latest papers with no code
3DMM-RF: Convolutional Radiance Fields for 3D Face Modeling
In this work, we present a facial 3D Morphable Model, which exploits both of the above, and can accurately model a subject's identity, pose and expression and render it in arbitrary illumination.
Controllable Evaluation and Generation of Physical Adversarial Patch on Face Recognition
It is therefore imperative to develop a framework that can enable a comprehensive evaluation of the vulnerability of face recognition in the physical world.
Physically-Guided Disentangled Implicit Rendering for 3D Face Modeling
This paper presents a novel Physically-guided Disentangled Implicit Rendering (PhyDIR) framework for high-fidelity 3D face modeling.
Learning To Restore 3D Face From In-the-Wild Degraded Images
In-the-wild 3D face modelling is a challenging problem as the predicted facial geometry and texture suffer from a lack of reliable clues or priors, when the input images are degraded.
0.8% Nyquist computational ghost imaging via non-experimental deep learning
We present a framework for computational ghost imaging based on deep learning and customized pink noise speckle patterns.
Learning Free-Form Deformation for 3D Face Reconstruction from In-The-Wild Images
As FFD is based on mathematically defined basis functions, it has no limitation in representation power.
3D-Aided Data Augmentation for Robust Face Understanding
Data augmentation has been highly effective in narrowing the data gap and reducing the cost for human annotation, especially for tasks where ground truth labels are difficult and expensive to acquire.
JNR: Joint-based Neural Rig Representation for Compact 3D Face Modeling
In this paper, we introduce a novel approach to learn a 3D face model using a joint-based face rig and a neural skinning network.
A 3D Face Modelling Approach for Pose-Invariant Face Recognition in a Human-Robot Environment
Face analysis techniques have become a crucial component of human-machine interaction in the fields of assistive and humanoid robotics.
Facial Feature Point Detection: A Comprehensive Survey
CLM-based methods consist of a shape model and a number of local experts, each of which is utilized to detect a facial feature point.