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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.
Inverting Black-Box Face Recognition Systems via Zero-Order Optimization in Eigenface Space
A Manually Annotated Image-Caption Dataset for Detecting Children in the Wild
ScoreMix: Improving Face Recognition via Score Composition in Diffusion Generators
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization
Lightweight Joint Audio-Visual Deepfake Detection via Single-Stream Multi-Modal Learning Framework
Towards Generalized Source Tracing for Codec-Based Deepfake Speech
TADA: Training-free Attribution and Out-of-Domain Detection of Audio Deepfakes
DeepFake Doctor: Diagnosing and Treating Audio-Video Fake Detection
FG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA)
Practical Manipulation Model for Robust Deepfake Detection
SocialDF: Benchmark Dataset and Detection Model for Mitigating Harmful Deepfake Content on Social Media Platforms
Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization
AuthGuard: Generalizable Deepfake Detection via Language Guidance
PartialEdit: Identifying Partial Deepfakes in the Era of Neural Speech Editing
Towards Source Attribution of Singing Voice Deepfake with Multimodal Foundation Models
A Data-Driven Diffusion-based Approach for Audio Deepfake Explanations
Balancing Beyond Discrete Categories: Continuous Demographic Labels for Fair Face Recognition
Silence is Golden: Leveraging Adversarial Examples to Nullify Audio Control in LDM-based Talking-Head Generation
Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion
EfficientFER: EfficientNetv2 Based Deep Learning Approach for Facial Expression Recognition
Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations
XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark
Benchmarking Foundation Models for Zero-Shot Biometric Tasks
50 Years of Automated Face Recognition
Leveraging Intermediate Features of Vision Transformer for Face Anti-Spoofing
Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake Detection
Efficient Estimation of Regularized Tyler's M-Estimator Using Approximate LOOCV
TalkingHeadBench: A Multi-Modal Benchmark & Analysis of Talking-Head DeepFake Detection
LAFR: Efficient Diffusion-based Blind Face Restoration via Latent Codebook Alignment Adapter
Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes
Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes
STOPA: A Database of Systematic VariaTion Of DeePfake Audio for Open-Set Source Tracing and Attribution
A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks
ArVoice: A Multi-Speaker Dataset for Arabic Speech Synthesis
Towards Generalized Proactive Defense against Face Swapping with Contour-Hybrid Watermark
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