Papers with Code 아카이브
3D Face Alignment
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
CSANet: Channel Spatial Attention Network for Robust 3D Face Alignment and Reconstruction
3D Face Alignment Through Fusion of Head Pose Information and Features
Instant Multi-View Head Capture through Learnable Registration
Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities?
0/1 Deep Neural Networks via Block Coordinate Descent
3D Dense Face Alignment with Fused Features by Aggregating CNNs and GCNs
Geometrically Adaptive Dictionary Attack on Face Recognition
Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction
img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation
Learning an Animatable Detailed 3D Face Model from In-The-Wild Images
Unsupervised Performance Analysis of 3D Face Alignment with a Statistically Robust Confidence Test
Dual Attention MobDenseNet(DAMDNet) for Robust 3D Face Alignment
Hierarchical binary CNNs for landmark localization with limited resources
Convolutional Point-set Representation: A Convolutional Bridge Between a Densely Annotated Image and 3D Face Alignment
Latent RANSAC
Multi-Attribute Robust Component Analysis for Facial UV Maps
UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition
FacePoseNet: Making a Case for Landmark-Free Face Alignment
Effect of Super Resolution on High Dimensional Features for Unsupervised Face Recognition in the Wild
How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)
Two-stage Convolutional Part Heatmap Regression for the 1st 3D Face Alignment in the Wild (3DFAW) Challenge
A Simple, Fast and Highly-Accurate Algorithm to Recover 3D Shape from 2D Landmarks on a Single Image
Pose-Invariant 3D Face Alignment
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.