https://github.com/vladhondru25/exddv
공식 코드ExDDV: A New Dataset for Explainable Deepfake Detection in Video
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Facial tasks in machine learning operate based on images or video frames (or other datasets) focussed on human faces.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
ExDDV: A New Dataset for Explainable Deepfake Detection in Video
iExam: A Novel Online Exam Monitoring and Analysis System Based on Face Detection and Recognition
Deep Unlearning via Randomized Conditionally Independent Hessians
Achieving Better Kinship Recognition Through Better Baseline
FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model
3D Face Reconstruction with the Geometric Guidance of Facial Part Segmentation
S2TD-Face: Reconstruct a Detailed 3D Face with Controllable Texture from a Single Sketch
M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection
Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion
Deep Convolutional Pooling Transformer for Deepfake Detection
LampMark: Proactive Deepfake Detection via Training-Free Landmark Perceptual Watermarks
A Survey on Facial Expression Recognition of Static and Dynamic Emotions
Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing
FAME: A Lightweight Spatio-Temporal Network for Model Attribution of Face-Swap Deepfakes
From 2D Images to 3D Model:Weakly Supervised Multi-View Face Reconstruction with Deep Fusion
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
MagicPortrait: Temporally Consistent Face Reenactment with 3D Geometric Guidance
FRT-PAD: Effective Presentation Attack Detection Driven by Face Related Task
Real-time Multi-person Eyeblink Detection in the Wild for Untrimmed Video
Fairness Properties of Face Recognition and Obfuscation Systems
MiVOLO: Multi-input Transformer for Age and Gender Estimation
VToonify: Controllable High-Resolution Portrait Video Style Transfer
Robust Sclera Segmentation for Skin-tone Agnostic Face Image Quality Assessment
FFR_FD: Effective and Fast Detection of DeepFakes Based on Feature Point Defects
Kernel Principal Component Analysis and its Applications in Face Recognition and Active Shape Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.