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3D Face Reconstruction
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3D Face Reconstruction is a computer vision task that involves creating a 3D model of a human face from a 2D image or a set of images. The goal of 3D face reconstruction is to reconstruct a digital 3D representation of a person's face, which can be used for various applications such as animation, virtual reality, and biometric identification.
<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.
Test-Time Augmentation for Pose-invariant Face Recognition
FaceShield: Explainable Face Anti-Spoofing with Multimodal Large Language Models
Denoising and Alignment: Rethinking Domain Generalization for Multimodal Face Anti-Spoofing
Visual Watermarking in the Era of Diffusion Models: Advances and Challenges
Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted
FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units
DArFace: Deformation Aware Robustness for Low Quality Face Recognition
TT-DF: A Large-Scale Diffusion-Based Dataset and Benchmark for Human Body Forgery Detection
DFA-CON: A Contrastive Learning Approach for Detecting Copyright Infringement in DeepFake Art
WaveGuard: Robust Deepfake Detection and Source Tracing via Dual-Tree Complex Wavelet and Graph Neural Networks
FLUXSynID: A Framework for Identity-Controlled Synthetic Face Generation with Document and Live Images
Automated Visual Attention Detection using Mobile Eye Tracking in Behavioral Classroom Studies
LAMM-ViT: AI Face Detection via Layer-Aware Modulation of Region-Guided Attention
Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning
MELLM: Exploring LLM-Powered Micro-Expression Understanding Enhanced by Subtle Motion Perception
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection
Achieving 3D Attention via Triplet Squeeze and Excitation Block
Cross-Branch Orthogonality for Improved Generalization in Face Deepfake Detection
OcularAge: A Comparative Study of Iris and Periocular Images for Pediatric Age Estimation
Semantic Style Transfer for Enhancing Animal Facial Landmark Detection
Multimodal Emotion Coupling via Speech-to-Facial and Bodily Gestures in Dyadic Interaction
MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition
DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution
Learning Real Facial Concepts for Independent Deepfake Detection
Leveraging Simultaneous Usage of Edge GPU Hardware Engines for Video Face Detection and Recognition
Edge-GPU Based Face Tracking for Face Detection and Recognition Acceleration
Person Recognition at Altitude and Range: Fusion of Face, Body Shape and Gait
Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples
Robustness in AI-Generated Detection: Enhancing Resistance to Adversarial Attacks
Learning Knowledge-based Prompts for Robust 3D Mask Presentation Attack Detection
Learning Unknown Spoof Prompts for Generalized Face Anti-Spoofing Using Only Real Face Images
Deepfakes on Demand: the rise of accessible non-consensual deepfake image generators
GIF: Generative Inspiration for Face Recognition at Scale
MLLM-Enhanced Face Forgery Detection: A Vision-Language Fusion Solution
Transforming faces into video stories -- VideoFace2.0
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