Papers 3D Face Alignment
“3D Face Alignment” 태그가 달린 논문 28편 · 필터 해제
Illumination-Robust Camera-Based Heart-Rate Estimation for Physiological Sensing in Robots
Physiological awareness is important for service, social, and assistive robots that interact with humans in everyday environments. Remote photoplethysmography (rPPG) enables non-contact heart-rate (HR) estimation from an…
3D Face AlignmentHierarchical MLANet: Multi-level Attention for 3D Face Reconstruction From Single Images
Recovering 3D face models from 2D in-the-wild images has gained considerable attention in the computer vision community due to its wide range of potential applications. However, the lack of ground-truth labeled datasets …
3D Face Reconstruction3D Face AlignmentRobust 3D Face Alignment with Multi-Path Neural Architecture Search
3D face alignment is a very challenging and fundamental problem in computer vision. Existing deep learning-based methods manually design different networks to regress either parameters of a 3D face model or 3D positions …
3D Face AlignmentFace AlignmentFace ModelNeural Architecture SearchCSANet: Channel Spatial Attention Network for Robust 3D Face Alignment and Reconstruction
Our project proposes an end-to-end 3D face alignment and reconstruction network. The backbone of our model is built by Bottle-Neck structure via Depth-wise Separable Convolution. We integrate Coordinate Attention mechani…
3D Face AlignmentFace Alignment3D Face Alignment Through Fusion of Head Pose Information and Features
The ability of humans to infer head poses from face shapes, and vice versa, indicates a strong correlation between the two. Accordingly, recent studies on face alignment have employed head pose information to predict fac…
3D Face AlignmentFace AlignmentKnowledge DistillationRobust Face AlignmentInstant Multi-View Head Capture through Learnable Registration
Existing methods for capturing datasets of 3D heads in dense semantic correspondence are slow, and commonly address the problem in two separate steps; multi-view stereo (MVS) reconstruction followed by non-rigid registra…
3D Face Alignment3D Face ReconstructionCamera CalibrationMulti-View 3D Shape Retrieval+1Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities?
Recognising continuous emotions and action unit (AU) intensities from face videos requires a spatial and temporal understanding of expression dynamics. Existing works primarily rely on 2D face appearances to extract such…
3D Face AlignmentArousal EstimationFace Alignment0/1 Deep Neural Networks via Block Coordinate Descent
The step function is one of the simplest and most natural activation functions for deep neural networks (DNNs). As it counts 1 for positive variables and 0 for others, its intrinsic characteristics (e.g., discontinuity a…
10-shot image generation16k2D Object Detection+923D Dense Face Alignment with Fused Features by Aggregating CNNs and GCNs
In this paper, we propose a novel multi-level aggregation network to regress the coordinates of the vertices of a 3D face from a single 2D image in an end-to-end manner. This is achieved by seamlessly combining standard …
3D Face Alignment3D Face ReconstructionFace AlignmentFace ReconstructionGeometrically Adaptive Dictionary Attack on Face Recognition
CNN-based face recognition models have brought remarkable performance improvement, but they are vulnerable to adversarial perturbations. Recent studies have shown that adversaries can fool the models even if they can onl…
3D Face AlignmentFace AlignmentFace RecognitionSynergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
This work studies learning from a synergy process of 3D Morphable Models (3DMM) and 3D facial landmarks to predict complete 3D facial geometry, including 3D alignment, face orientation, and 3D face modeling. Our synergy …
3D Face Alignment3D Face Modelling3D Face ReconstructionFace Alignment+1SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction
Three-dimensional face dense alignment and reconstruction in the wild is a challenging problem as partial facial information is commonly missing in occluded and large pose face images. Large head pose variations also inc…
3D Face Alignment3D Face ReconstructionFace AlignmentHead Pose Estimation+1img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation
We propose real-time, six degrees of freedom (6DoF), 3D face pose estimation without face detection or landmark localization. We observe that estimating the 6DoF rigid transformation of a face is a simpler problem than f…
3D Face AlignmentFace AlignmentFace DetectionFacial Landmark Detection+2Learning an Animatable Detailed 3D Face Model from In-The-Wild Images
While current monocular 3D face reconstruction methods can recover fine geometric details, they suffer several limitations. Some methods produce faces that cannot be realistically animated because they do not model how w…
3D Face Alignment3D Face Animation3D Face Modelling3D Face Reconstruction+4Unsupervised Performance Analysis of 3D Face Alignment with a Statistically Robust Confidence Test
This paper addresses the problem of analysing the performance of 3D face alignment (3DFA), or facial landmark localization. This task is usually supervised, based on annotated datasets. Nevertheless, in the particular ca…
3D Face AlignmentArticlesFace AlignmentDual Attention MobDenseNet(DAMDNet) for Robust 3D Face Alignment
3D face alignment of monocular images is a crucial process in the recognition of faces with disguise.3D face reconstruction facilitated by alignment can restore the face structure which is helpful in detcting disguise in…
3D Face Alignment3D Face ReconstructionFace AlignmentFace ReconstructionAdversarial Learning Semantic Volume for 2D/3D Face Shape Regression in the Wild
Regression-based methods have revolutionized 2D landmark localization with the exploitation of deep neural networks and massive annotated datasets in the wild. However, it remains challenging for 3D landmark localization…
3D Face Alignment3D Facial Landmark LocalizationFace AlignmentregressionHierarchical binary CNNs for landmark localization with limited resources
Our goal is to design architectures that retain the groundbreaking performance of Convolutional Neural Networks (CNNs) for landmark localization and at the same time are lightweight, compact and suitable for applications…
3D Face AlignmentBinarizationFace AlignmentPose EstimationConvolutional Point-set Representation: A Convolutional Bridge Between a Densely Annotated Image and 3D Face Alignment
We present a robust method for estimating the facial pose and shape information from a densely annotated facial image. The method relies on Convolutional Point-set Representation (CPR), a carefully designed matrix repres…
3D Face AlignmentFace AlignmentMissing ValuesLatent RANSAC
We present a method that can evaluate a RANSAC hypothesis in constant time, i.e. independent of the size of the data. A key observation here is that correct hypotheses are tightly clustered together in the latent paramet…
3D Face Alignment3D Plane DetectionCamera LocalizationHomography Estimation+2