CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition
Fuente:
arXiv
Guardado en:
| Autores principales: | Sun, Zhonglin, Song, Siyang, Patras, Ioannis, Tzimiropoulos, Georgios |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition
por: Sun, Zhonglin, et al.
Publicado: (2024)
por: Sun, Zhonglin, et al.
Publicado: (2024)
One-shot Neural Face Reenactment via Finding Directions in GAN's Latent Space
por: Bounareli, Stella, et al.
Publicado: (2024)
por: Bounareli, Stella, et al.
Publicado: (2024)
DiffusionAct: Controllable Diffusion Autoencoder for One-shot Face Reenactment
por: Bounareli, Stella, et al.
Publicado: (2024)
por: Bounareli, Stella, et al.
Publicado: (2024)
RepFace: Refining Closed-Set Noise with Progressive Label Correction for Face Recognition
por: Zhang, Jie, et al.
Publicado: (2024)
por: Zhang, Jie, et al.
Publicado: (2024)
CLIPCleaner: Cleaning Noisy Labels with CLIP
por: Feng, Chen, et al.
Publicado: (2024)
por: Feng, Chen, et al.
Publicado: (2024)
Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing
por: Metaxas, Ioannis Maniadis, et al.
Publicado: (2024)
por: Metaxas, Ioannis Maniadis, et al.
Publicado: (2024)
HyperFace: Generating Synthetic Face Recognition Datasets by Exploring Face Embedding Hypersphere
por: Shahreza, Hatef Otroshi, et al.
Publicado: (2024)
por: Shahreza, Hatef Otroshi, et al.
Publicado: (2024)
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise
por: Feng, Chen, et al.
Publicado: (2021)
por: Feng, Chen, et al.
Publicado: (2021)
MM2Latent: Text-to-facial image generation and editing in GANs with multimodal assistance
por: Meng, Debin, et al.
Publicado: (2024)
por: Meng, Debin, et al.
Publicado: (2024)
VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition
por: Yeung, Michael, et al.
Publicado: (2024)
por: Yeung, Michael, et al.
Publicado: (2024)
Aligned Unsupervised Pretraining of Object Detectors with Self-training
por: Metaxas, Ioannis Maniadis, et al.
Publicado: (2023)
por: Metaxas, Ioannis Maniadis, et al.
Publicado: (2023)
Synthetic to Authentic: Transferring Realism to 3D Face Renderings for Boosting Face Recognition
por: Rahimi, Parsa, et al.
Publicado: (2024)
por: Rahimi, Parsa, et al.
Publicado: (2024)
SDFR: Synthetic Data for Face Recognition Competition
por: Shahreza, Hatef Otroshi, et al.
Publicado: (2024)
por: Shahreza, Hatef Otroshi, et al.
Publicado: (2024)
If It's Not Enough, Make It So: Reducing Authentic Data Demand in Face Recognition through Synthetic Faces
por: Atzori, Andrea, et al.
Publicado: (2024)
por: Atzori, Andrea, et al.
Publicado: (2024)
Synthetic Data for the Mitigation of Demographic Biases in Face Recognition
por: Melzi, Pietro, et al.
Publicado: (2024)
por: Melzi, Pietro, et al.
Publicado: (2024)
FunFace: Feature Utility and Norm Estimation for Face Recognition
por: Babnik, Žiga, et al.
Publicado: (2026)
por: Babnik, Žiga, et al.
Publicado: (2026)
NegFaceDiff: The Power of Negative Context in Identity-Conditioned Diffusion for Synthetic Face Generation
por: Caldeira, Eduarda, et al.
Publicado: (2025)
por: Caldeira, Eduarda, et al.
Publicado: (2025)
Designing and Generating Diverse, Equitable Face Image Datasets for Face Verification Tasks
por: Baltsou, Georgia, et al.
Publicado: (2025)
por: Baltsou, Georgia, et al.
Publicado: (2025)
FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations
por: Sarridis, Ioannis, et al.
Publicado: (2024)
por: Sarridis, Ioannis, et al.
Publicado: (2024)
FaceLiVTv2: An Improved Hybrid Architecture for Efficient Mobile Face Recognition
por: Setyawan, Novendra, et al.
Publicado: (2026)
por: Setyawan, Novendra, et al.
Publicado: (2026)
Vec2Face+ for Face Dataset Generation
por: Wu, Haiyu, et al.
Publicado: (2025)
por: Wu, Haiyu, et al.
Publicado: (2025)
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models
por: Zhou, Fengfan, et al.
Publicado: (2024)
por: Zhou, Fengfan, et al.
Publicado: (2024)
ARoFace: Alignment Robustness to Improve Low-Quality Face Recognition
por: Saadabadi, Mohammad Saeed Ebrahimi, et al.
Publicado: (2024)
por: Saadabadi, Mohammad Saeed Ebrahimi, et al.
Publicado: (2024)
DArFace: Deformation Aware Robustness for Low Quality Face Recognition
por: Gulshad, Sadaf, et al.
Publicado: (2025)
por: Gulshad, Sadaf, et al.
Publicado: (2025)
Bridging the Gaps: Utilizing Unlabeled Face Recognition Datasets to Boost Semi-Supervised Facial Expression Recognition
por: Song, Jie, et al.
Publicado: (2024)
por: Song, Jie, et al.
Publicado: (2024)
VLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning
por: Xenos, Alexandros, et al.
Publicado: (2024)
por: Xenos, Alexandros, et al.
Publicado: (2024)
Template-based Multi-Domain Face Recognition
por: Nanduri, Anirudh, et al.
Publicado: (2024)
por: Nanduri, Anirudh, et al.
Publicado: (2024)
GIF: Generative Inspiration for Face Recognition at Scale
por: Ebrahimi, Saeed, et al.
Publicado: (2025)
por: Ebrahimi, Saeed, et al.
Publicado: (2025)
CryptoFace: End-to-End Encrypted Face Recognition
por: Ao, Wei, et al.
Publicado: (2025)
por: Ao, Wei, et al.
Publicado: (2025)
Training-Free Generation of Diverse and High-Fidelity Images via Prompt Semantic Space Optimization
por: Meng, Debin, et al.
Publicado: (2025)
por: Meng, Debin, et al.
Publicado: (2025)
Massively Annotated Datasets for Assessment of Synthetic and Real Data in Face Recognition
por: Neto, Pedro C., et al.
Publicado: (2024)
por: Neto, Pedro C., et al.
Publicado: (2024)
The Impact of Balancing Real and Synthetic Data on Accuracy and Fairness in Face Recognition
por: Atzori, Andrea, et al.
Publicado: (2024)
por: Atzori, Andrea, et al.
Publicado: (2024)
How Knowledge Distillation Mitigates the Synthetic Gap in Fair Face Recognition
por: Neto, Pedro C., et al.
Publicado: (2024)
por: Neto, Pedro C., et al.
Publicado: (2024)
Enhancing Domain Diversity in Synthetic Data Face Recognition with Dataset Fusion
por: George, Anjith, et al.
Publicado: (2025)
por: George, Anjith, et al.
Publicado: (2025)
SDFD: Building a Versatile Synthetic Face Image Dataset with Diverse Attributes
por: Baltsou, Georgia, et al.
Publicado: (2024)
por: Baltsou, Georgia, et al.
Publicado: (2024)
From Obstacles to Resources: Semi-supervised Learning Faces Synthetic Data Contamination
por: Wang, Zerun, et al.
Publicado: (2024)
por: Wang, Zerun, et al.
Publicado: (2024)
FaceCat: Enhancing Face Recognition Security with a Unified Diffusion Model
por: Chen, Jiawei, et al.
Publicado: (2024)
por: Chen, Jiawei, et al.
Publicado: (2024)
FaceMixup: Enhancing Facial Expression Recognition through Mixed Face Regularization
por: Faria, Fabio A., et al.
Publicado: (2024)
por: Faria, Fabio A., et al.
Publicado: (2024)
Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization
por: Mesec, Patrik, et al.
Publicado: (2025)
por: Mesec, Patrik, et al.
Publicado: (2025)
xEdgeFace: Efficient Cross-Spectral Face Recognition for Edge Devices
por: George, Anjith, et al.
Publicado: (2025)
por: George, Anjith, et al.
Publicado: (2025)
Ejemplares similares
-
LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition
por: Sun, Zhonglin, et al.
Publicado: (2024) -
One-shot Neural Face Reenactment via Finding Directions in GAN's Latent Space
por: Bounareli, Stella, et al.
Publicado: (2024) -
DiffusionAct: Controllable Diffusion Autoencoder for One-shot Face Reenactment
por: Bounareli, Stella, et al.
Publicado: (2024) -
RepFace: Refining Closed-Set Noise with Progressive Label Correction for Face Recognition
por: Zhang, Jie, et al.
Publicado: (2024) -
CLIPCleaner: Cleaning Noisy Labels with CLIP
por: Feng, Chen, et al.
Publicado: (2024)