ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2404.03537
  4. Cited By
If It's Not Enough, Make It So: Reducing Authentic Data Demand in Face
  Recognition through Synthetic Faces

If It's Not Enough, Make It So: Reducing Authentic Data Demand in Face Recognition through Synthetic Faces

4 April 2024
Andrea Atzori
Fadi Boutros
Naser Damer
Gianni Fenu
Mirko Marras
ArXivPDFHTML

Papers citing "If It's Not Enough, Make It So: Reducing Authentic Data Demand in Face Recognition through Synthetic Faces"

4 / 4 papers shown
Title
Synthetic Data for Face Recognition: Current State and Future Prospects
Synthetic Data for Face Recognition: Current State and Future Prospects
Fadi Boutros
Vitomir Štruc
Julian Fierrez
Naser Damer
19
73
0
01 May 2023
Identity-driven Three-Player Generative Adversarial Network for
  Synthetic-based Face Recognition
Identity-driven Three-Player Generative Adversarial Network for Synthetic-based Face Recognition
J. Kolf
Tim Rieber
Jurek Elliesen
Fadi Boutros
Arjan Kuijper
Naser Damer
19
23
0
30 Apr 2023
GAN-Control: Explicitly Controllable GANs
GAN-Control: Explicitly Controllable GANs
Alon Shoshan
Nadav Bhonker
Igor Kviatkovsky
Gérard Medioni
CVBM
140
134
0
07 Jan 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,183
0
12 Dec 2018
1