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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.
Explainable Face Recognition via Improved Localization
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning
Detecting Musical Deepfakes
AWARE-NET: Adaptive Weighted Averaging for Robust Ensemble Network in Deepfake Detection
KeySync: A Robust Approach for Leakage-free Lip Synchronization in High Resolution
Pixel3DMM: Versatile Screen-Space Priors for Single-Image 3D Face Reconstruction
MagicPortrait: Temporally Consistent Face Reenactment with 3D Geometric Guidance
Diffusion-based Adversarial Identity Manipulation for Facial Privacy Protection
LMME3DHF: Benchmarking and Evaluating Multimodal 3D Human Face Generation with LMMs
End-to-end Audio Deepfake Detection from RAW Waveforms: a RawNet-Based Approach with Cross-Dataset Evaluation
Balancing Creativity and Automation: The Influence of AI on Modern Film Production and Dissemination
DiffUMI: Training-Free Universal Model Inversion via Unconditional Diffusion for Face Recognition
Tracking Articulatory Dynamics in Speech with a Fixed-Weight BiLSTM-CNN Architecture
Towards Generalizable Deepfake Detection with Spatial-Frequency Collaborative Learning and Hierarchical Cross-Modal Fusion
The Malicious Technical Ecosystem: Exposing Limitations in Technical Governance of AI-Generated Non-Consensual Intimate Images of Adults
DreamID: High-Fidelity and Fast diffusion-based Face Swapping via Triplet ID Group Learning
BMRL: Bi-Modal Guided Multi-Perspective Representation Learning for Zero-Shot Deepfake Attribution
SLAM-Based Navigation and Fault Resilience in a Surveillance Quadcopter with Embedded Vision Systems
Benchmarking Audio Deepfake Detection Robustness in Real-world Communication Scenarios
Big Brother is Watching: Proactive Deepfake Detection via Learnable Hidden Face
SafeSpeech: Robust and Universal Voice Protection Against Malicious Speech Synthesis
SocioVerse: A World Model for Social Simulation Powered by LLM Agents and A Pool of 10 Million Real-World Users
FractalForensics: Proactive Deepfake Detection and Localization via Fractal Watermarks
Model Discrepancy Learning: Synthetic Faces Detection Based on Multi-Reconstruction
ID-Booth: Identity-consistent Face Generation with Diffusion Models
LoRAX: LoRA eXpandable Networks for Continual Synthetic Image Attribution
Detect All-Type Deepfake Audio: Wavelet Prompt Tuning for Enhanced Auditory Perception
Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning
Nes2Net: A Lightweight Nested Architecture for Foundation Model Driven Speech Anti-spoofing
From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face Deepfakes
SDAFE: A Dual-filter Stable Diffusion Data Augmentation Method for Facial Expression Recognition
Generative Classifier for Domain Generalization
OmniTalker: Real-Time Text-Driven Talking Head Generation with In-Context Audio-Visual Style Replication
Audio-visual Controlled Video Diffusion with Masked Selective State Spaces Modeling for Natural Talking Head Generation
Comparative Analysis of Deepfake Detection Models: New Approaches and Perspectives
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.