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Synthetic Face Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
HyperFace: Generating Synthetic Face Recognition Datasets by Exploring Face Embedding Hypersphere
Unveiling Synthetic Faces: How Synthetic Datasets Can Expose Real Identities
ID$^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition
Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data
SDFR: Synthetic Data for Face Recognition Competition
Bias and Diversity in Synthetic-based Face Recognition
SynthDistill: Face Recognition with Knowledge Distillation from Synthetic Data
IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Models
Identity-driven Three-Player Generative Adversarial Network for Synthetic-based Face Recognition
DCFace: Synthetic Face Generation with Dual Condition Diffusion Model
DigiFace-1M: 1 Million Digital Face Images for Face Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.