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Face Alignment
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Face alignment is the task of identifying the geometric structure of faces in digital images, and attempting to obtain a canonical alignment of the face based on translation, scale, and rotation.
<span style="color:grey; opacity: 0.6">( Image credit: 3DDFA_V2 )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
HonestFace: Towards Honest Face Restoration with One-Step Diffusion Model
Multimodal Emotion Coupling via Speech-to-Facial and Bodily Gestures in Dyadic Interaction
SocioVerse: A World Model for Social Simulation Powered by LLM Agents and A Pool of 10 Million Real-World Users
Mitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment
Impact of Face Alignment on Face Image Quality
Precise Facial Landmark Detection by Dynamic Semantic Aggregation Transformer
RestorerID: Towards Tuning-Free Face Restoration with ID Preservation
ARoFace: Alignment Robustness to Improve Low-Quality Face Recognition
On the power of data augmentation for head pose estimation
Robust 3D Face Alignment with Multi-Path Neural Architecture Search
FaceLift: Semi-supervised 3D Facial Landmark Localization
CSANet: Channel Spatial Attention Network for Robust 3D Face Alignment and Reconstruction
AI-KD: Towards Alignment Invariant Face Image Quality Assessment Using Knowledge Distillation
Faceptor: A Generalist Model for Face Perception
Face Swap via Diffusion Model
Fiducial Focus Augmentation for Facial Landmark Detection
A survey and classification of face alignment methods based on face models
Toward High Quality Facial Representation Learning
3D Face Alignment Through Fusion of Head Pose Information and Features
Facial Landmark Detection Evaluation on MOBIO Database
STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection
Mask Attack Detection Using Vascular-weighted Motion-robust rPPG Signals
DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment
ASM: Adaptive Skinning Model for High-Quality 3D Face Modeling
Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models
Multi-modal Facial Action Unit Detection with Large Pre-trained Models for the 5th Competition on Affective Behavior Analysis in-the-wild
SimFLE: Simple Facial Landmark Encoding for Self-Supervised Facial Expression Recognition in the Wild
FreeEnricher: Enriching Face Landmarks without Additional Cost
Improving Depression estimation from facial videos with face alignment, training optimization and scheduling
Learning Motion-Robust Remote Photoplethysmography through Arbitrary Resolution Videos
FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection
A Comparative Analysis of the Face Recognition Methods in Video Surveillance Scenarios
Shape Preserving Facial Landmarks with Graph Attention Networks
VToonify: Controllable High-Resolution Portrait Video Style Transfer
Face Shape-Guided Deep Feature Alignment for Face Recognition Robust to Face Misalignment
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