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Found 17 papers, 3 papers with code
Fake It Without Making It: Conditioned Face Generation for Accurate 3D Face Reconstruction
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.
Text2Face: A Multi-Modal 3D Face Model
We present the first 3D morphable modelling approach, whereby 3D face shape can be directly and completely defined using a textual prompt.
Laplacian ICP for Progressive Registration of 3D Human Head Meshes
We present a progressive 3D registration framework that is a highly-efficient variant of classical non-rigid Iterative Closest Points (N-ICP).
Accurate Gaze Estimation using an Active-gaze Morphable Model
Rather than regressing gaze direction directly from images, we show that adding a 3D shape model can: i) improve gaze estimation accuracy, ii) perform well with lower resolution inputs and iii) provide a richer understanding of the eye-region and its constituent gaze system.
The Effectiveness of Temporal Dependency in Deepfake Video Detection
We apply this framework to investigate the effect of temporal dependency on a model's deepfake detection performance.
FatNet: A Feature-attentive Network for 3D Point Cloud Processing
The application of deep learning to 3D point clouds is challenging due to its lack of order.
A Human Ear Reconstruction Autoencoder
The ear, as an important part of the human head, has received much less attention compared to the human face in the area of computer vision.
FocusNet++: Attentive Aggregated Transformations for Efficient and Accurate Medical Image Segmentation
We propose a new residual block for convolutional neural networks and demonstrate its state-of-the-art performance in medical image segmentation.
Towards a complete 3D morphable model of the human head
Eye and eye region models are incorporated into the head model, along with basic models of the teeth, tongue and inner mouth cavity.
Penalizing small errors using an Adaptive Logarithmic Loss
Loss functions are error metrics that quantify the difference between a prediction and its corresponding ground truth.
SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud Processing
But their application to processing data lying on non-Euclidean domains is still a very active area of research.
Combining 3D Morphable Models: A Large scale Face-and-Head Model
Three-dimensional Morphable Models (3DMMs) are powerful statistical tools for representing the 3D surfaces of an object class.
FocusNet: An attention-based Fully Convolutional Network for Medical Image Segmentation
We propose a novel technique to incorporate attention within convolutional neural networks using feature maps generated by a separate convolutional autoencoder.
Non-rigid 3D Shape Registration using an Adaptive Template
We present a new fully-automatic non-rigid 3D shape registration (morphing) framework comprising (1) a new 3D landmarking and pose normalisation method; (2) an adaptive shape template method to accelerate the convergence of registration algorithms and achieve a better final shape correspondence and (3) a new iterative registration method that combines Iterative Closest Points with Coherent Point Drift (CPD) to achieve a more stable and accurate correspondence establishment than standard CPD.
A 3D Morphable Model of Craniofacial Shape and Texture Variation
We present a fully automatic pipeline to train 3D Morphable Models (3DMMs), with contributions in pose normalisation, dense correspondence using both shape and texture information, and high quality, high resolution texture mapping.
Functional Faces: Groupwise Dense Correspondence Using Functional Maps
In this paper we present a method for computing dense correspondence between a set of 3D face meshes using functional maps.
Automatic 3D modelling of craniofacial form
Three-dimensional models of craniofacial variation over the general population are useful for assessing pre- and post-operative head shape when treating various craniofacial conditions, such as craniosynostosis.
