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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

2026-06-10 · Zhi Wei Xu, Torbjörn E. M. Nordling arxiv

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 Alignment

Hierarchical MLANet: Multi-level Attention for 3D Face Reconstruction From Single Images

2025-09-12 · Danling Cao arxiv

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 Alignment

Robust 3D Face Alignment with Multi-Path Neural Architecture Search

2024-06-12 · Zhichao Jiang, Hongsong Wang, Xi Teng, Baopu Li

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 Search

CSANet: Channel Spatial Attention Network for Robust 3D Face Alignment and Reconstruction

2024-05-30 · Yilin Liu, Xuezhou Guo, Xinqi Wang, Fangzhou Du

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 Alignment

3D Face Alignment Through Fusion of Head Pose Information and Features

2023-08-25 · Jaehyun So, Youngjoon Han

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 Alignment

Instant Multi-View Head Capture through Learnable Registration

2023-06-12 · CVPR 2023 1 · Timo Bolkart, Tianye Li, Michael J. Black

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+1

Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities?

2022-07-03 · Mani Kumar Tellamekala, Ömer Sümer, Björn W. Schuller, Elisabeth André 외

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 Alignment

0/1 Deep Neural Networks via Block Coordinate Descent

2022-06-19 · HUI ZHANG, Shenglong Zhou, Geoffrey Ye Li, Naihua Xiu

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+92

3D Dense Face Alignment with Fused Features by Aggregating CNNs and GCNs

2022-03-09 · Yanda Meng, Xu Chen, Dongxu Gao, Yitian Zhao 외

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 Reconstruction

Geometrically Adaptive Dictionary Attack on Face Recognition

2021-11-08 · Junyoung Byun, Hyojun Go, Changick Kim

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 Recognition

Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry

2021-10-19 · Cho-Ying Wu, Qiangeng Xu, Ulrich Neumann

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+1

SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction

2021-06-06 · Zeyu Ruan, Changqing Zou, Longhai Wu, Gangshan Wu 외

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+1

img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation

2020-12-14 · CVPR 2021 1 · Vítor Albiero, Xingyu Chen, Xi Yin, Guan Pang 외

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+2

Learning an Animatable Detailed 3D Face Model from In-The-Wild Images

2020-12-07 · Yao Feng, Haiwen Feng, Michael J. Black, Timo Bolkart

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+4

Unsupervised Performance Analysis of 3D Face Alignment with a Statistically Robust Confidence Test

2020-04-14 · Mostafa Sadeghi, Xavier Alameda-Pineda, Radu Horaud

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 Alignment

Dual Attention MobDenseNet(DAMDNet) for Robust 3D Face Alignment

2019-08-30 · Lei Jiang Xiao-Jun Wu Josef Kittler

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 Reconstruction

Adversarial Learning Semantic Volume for 2D/3D Face Shape Regression in the Wild

2019-04-19 · IEEE Transactions on Image Processing 2019 4 · Hongwen Zhang, Qi Li, Zhenan Sun

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 Alignmentregression

Hierarchical binary CNNs for landmark localization with limited resources

2018-08-14 · Adrian Bulat, Georgios Tzimiropoulos

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 Estimation

Convolutional Point-set Representation: A Convolutional Bridge Between a Densely Annotated Image and 3D Face Alignment

2018-03-17 · Yuhang Wu, Le Anh Vu Ha, Xiang Xu, Ioannis A. Kakadiaris

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 Values

Latent RANSAC

2018-02-20 · CVPR 2018 6 · Simon Korman, Roee Litman

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
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