{"total":72,"rows":[{"id":"2403.11641","title":"Arc2Face: A Foundation Model for ID-Consistent Human Faces","created":"2024-03-18","cited_by_count":101,"area":null},{"id":"2401.15859","title":"Diffusion Facial Forgery Detection","created":"2024-01-29","cited_by_count":41,"area":null},{"id":"2403.14852","title":"KeyPoint Relative Position Encoding for Face Recognition","created":"2024-03-21","cited_by_count":38,"area":null},{"id":"2404.04580","title":"SDFR: Synthetic Data for Face Recognition Competition","created":"2024-04-06","cited_by_count":28,"area":null},{"id":"2406.00783","title":"AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark","created":"2024-06-02","cited_by_count":28,"area":null},{"id":"2410.23831","title":"FRoundation: Are Foundation Models Ready for Face Recognition?","created":"2024-10-31","cited_by_count":23,"area":null},{"id":"2311.10476","title":"FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data","created":"2023-11-17","cited_by_count":21,"area":null},{"id":"2409.02979","title":"Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors","created":"2024-09-04","cited_by_count":15,"area":null},{"id":"2505.24247","title":"50 Years of Automated Face Recognition","created":"2025-05-30","cited_by_count":15,"area":null},{"id":"2504.04708","title":"SapiensID: Foundation for Human Recognition","created":"2025-04-07","cited_by_count":14,"area":null},{"id":"2412.01383","title":"Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data","created":"2024-12-02","cited_by_count":13,"area":null},{"id":"2405.00228","title":"Synthetic Face Datasets Generation via Latent Space Exploration from Brownian Identity Diffusion","created":"2024-04-30","cited_by_count":12,"area":null},{"id":"2411.08470","title":"HyperFace: Generating Synthetic Face Recognition Datasets by Exploring Face Embedding Hypersphere","created":"2024-11-13","cited_by_count":12,"area":null},{"id":"2311.03970","title":"Bias and Diversity in Synthetic-based Face Recognition","created":"2023-11-07","cited_by_count":11,"area":null},{"id":"2402.01472","title":"Synthetic Data for the Mitigation of Demographic Biases in Face Recognition","created":"2024-02-02","cited_by_count":10,"area":null},{"id":"2409.18876","title":"CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition","created":"2024-09-27","cited_by_count":10,"area":null},{"id":"2408.00296","title":"Head360: Learning a Parametric 3D Full-Head for Free-View Synthesis in 360{\\deg}","created":"2024-08-01","cited_by_count":9,"area":null},{"id":"2503.20771","title":"Disentangled Source-Free Personalization for Facial Expression Recognition with Neutral Target Data","created":"2025-03-26","cited_by_count":9,"area":null},{"id":"2407.14367","title":"Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations","created":"2024-07-19","cited_by_count":8,"area":null},{"id":"2412.06235","title":"VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition","created":"2024-12-09","cited_by_count":8,"area":null},{"id":"2510.17372","title":"Beyond Real Faces: Synthetic Datasets Can Achieve Reliable Recognition Performance without Privacy Compromise","created":"2025-10-20","cited_by_count":8,"area":null},{"id":"2404.17255","title":"SDFD: Building a Versatile Synthetic Face Image Dataset with Diverse Attributes","created":"2024-04-26","cited_by_count":6,"area":null},{"id":"2305.07710","title":"Zero-shot racially balanced dataset generation using an existing biased StyleGAN2","created":"2023-05-12","cited_by_count":5,"area":null},{"id":"2309.01582","title":"Improving Visual Quality and Transferability of Adversarial Attacks on Face Recognition Simultaneously with Adversarial Restoration","created":"2023-09-04","cited_by_count":5,"area":null},{"id":"2403.08277","title":"VIGFace: Virtual Identity Generation for Privacy-Free Face Recognition","created":"2024-03-13","cited_by_count":5,"area":null},{"id":"2407.07627","title":"Synthetic to Authentic: Transferring Realism to 3D Face Renderings for Boosting Face Recognition","created":"2024-07-10","cited_by_count":5,"area":null},{"id":"2410.01226","title":"Towards Native Generative Model for 3D Head Avatar","created":"2024-10-02","cited_by_count":5,"area":null},{"id":"2308.02065","title":"On the Biometric Capacity of Generative Face Models","created":"2023-08-03","cited_by_count":4,"area":null},{"id":"2404.03537","title":"If It's Not Enough, Make It So: Reducing Authentic Data Demand in Face Recognition through Synthetic Faces","created":"2024-04-04","cited_by_count":4,"area":null},{"id":"2312.12028","title":"EyePreserve: Identity-Preserving Iris Synthesis","created":"2023-12-19","cited_by_count":3,"area":null},{"id":"2405.15965","title":"Goldilocks Test Sets for Face Verification","created":"2024-05-24","cited_by_count":3,"area":null},{"id":"2409.02867","title":"The Impact of Balancing Real and Synthetic Data on Accuracy and Fairness in Face Recognition","created":"2024-09-04","cited_by_count":3,"area":null},{"id":"2409.08345","title":"SIG: A Synthetic Identity Generation Pipeline for Generating Evaluation Datasets for Face Recognition","created":"2024-09-12","cited_by_count":3,"area":null},{"id":"2410.24015","title":"Unveiling Synthetic Faces: How Synthetic Datasets Can Expose Real Identities","created":"2024-10-31","cited_by_count":3,"area":null},{"id":"2502.19803","title":"UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition","created":"2025-02-27","cited_by_count":3,"area":null},{"id":"2310.15848","title":"On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms","created":"2023-10-24","cited_by_count":2,"area":null},{"id":"2404.15234","title":"Massively Annotated Datasets for Assessment of Synthetic and Real Data in Face Recognition","created":"2024-04-23","cited_by_count":2,"area":null},{"id":"2404.18890","title":"Hide and Seek: How Does Watermarking Impact Face Recognition?","created":"2024-04-29","cited_by_count":2,"area":null},{"id":"2407.13922","title":"CounterFace: A Synthetic Face Dataset for Fine-Grained Counterfactual Evaluation of Face Recognition Systems","created":"2024-07-18","cited_by_count":2,"area":null},{"id":"2410.01392","title":"Causal Inference Tools for a Better Evaluation of Machine Learning","created":"2024-10-02","cited_by_count":2,"area":null},{"id":"2412.03349","title":"Fairer Analysis and Demographically Balanced Face Generation for Fairer Face Verification","created":"2024-12-04","cited_by_count":2,"area":null},{"id":"2505.07530","title":"FLUXSynID: A Framework for Identity-Controlled Synthetic Face Generation with Document and Live Images","created":"2025-05-12","cited_by_count":2,"area":null},{"id":"2507.20782","title":"Investigation of Accuracy and Bias in Face Recognition Trained with Synthetic Data","created":"2025-07-28","cited_by_count":2,"area":null},{"id":"2309.05180","title":"What's color got to do with it? Face recognition in grayscale","created":"2023-09-11","cited_by_count":1,"area":null},{"id":"2404.12611","title":"Rethinking Clothes Changing Person ReID: Conflicts, Synthesis, and Optimization","created":"2024-04-19","cited_by_count":1,"area":null},{"id":"2407.17229","title":"Artistic Intelligence: A Diffusion-Based Framework for High-Fidelity Landscape Painting Synthesis","created":"2024-07-24","cited_by_count":1,"area":null},{"id":"2408.15693","title":"Synthetic Forehead-creases Biometric Generation for Reliable User Verification","created":"2024-08-28","cited_by_count":1,"area":null},{"id":"2505.09256","title":"Test-Time Augmentation for Pose-invariant Face Recognition","created":"2025-05-14","cited_by_count":1,"area":null},{"id":"2506.02626","title":"Synthetic Iris Image Databases and Identity Leakage: Risks and Mitigation Strategies","created":"2025-06-03","cited_by_count":1,"area":null},{"id":"2506.23555","title":"LH2Face: Loss function for Hard High-quality Face","created":"2025-06-30","cited_by_count":1,"area":null},{"id":"2507.17192","title":"Vec2Face+ for Face Dataset Generation","created":"2025-07-23","cited_by_count":1,"area":null},{"id":"2601.08179","title":"Instruction-Driven 3D Facial Expression Generation and Transition","created":"2026-01-13","cited_by_count":1,"area":null},{"id":"2609.29064","title":"EIB-Net: Entropy-Guided Information Bottleneck for Generalizable AI-Generated Image Detection","created":"2026-09-24","cited_by_count":1,"area":null},{"id":"2308.08638","title":"Fair GANs through model rebalancing for extremely imbalanced class distributions","created":"2023-08-16","cited_by_count":0,"area":null},{"id":"2308.10968","title":"Regularization by Neural Style Transfer for MRI Field-Transfer Reconstruction with Limited Data","created":"2023-08-21","cited_by_count":0,"area":null},{"id":"2406.16592","title":"Toward Fairer Face Recognition Datasets","created":"2024-06-24","cited_by_count":0,"area":null},{"id":"2409.03200","title":"Active Fake: DeepFake Camouflage","created":"2024-09-05","cited_by_count":0,"area":null},{"id":"2504.21368","title":"Revisiting Diffusion Autoencoder Training for Image Reconstruction Quality","created":"2025-04-30","cited_by_count":0,"area":null},{"id":"2507.21530","title":"Suppressing Gradient Conflict for Generalizable Deepfake Detection","created":"2025-07-29","cited_by_count":0,"area":null},{"id":"2510.20482","title":"Reliable and Reproducible Demographic Inference for Fairness in Face Analysis","created":"2025-10-23","cited_by_count":0,"area":null},{"id":"2511.17393","title":"Designing and Generating Diverse, Equitable Face Image Datasets for Face Verification Tasks","created":"2025-11-21","cited_by_count":0,"area":null},{"id":"2512.05928","title":"A Comparative Study on Synthetic Facial Data Generation Techniques for Face Recognition","created":"2025-12-05","cited_by_count":0,"area":null},{"id":"2512.11683","title":"Depth-Copy-Paste: Multimodal and Depth-Aware Compositing for Robust Face Detection","created":"2025-12-12","cited_by_count":0,"area":null},{"id":"2603.09484","title":"Component-Aware Sketch-to-Image Generation Using Self-Attention Encoding and Coordinate-Preserving Fusion","created":"2026-03-10","cited_by_count":0,"area":null},{"id":"2605.17483","title":"On Applicability of Synthetic Datasets for Facial Expression Recognition","created":"2026-05-17","cited_by_count":0,"area":null},{"id":"2605.18238","title":"Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2605.30894","title":"SteerFace: Debiasing Synthetic Face Generation via Adaptive Residue Perturbation","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2607.02637","title":"Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting","created":"2026-07-02","cited_by_count":0,"area":null},{"id":"2607.02799","title":"Conversational Human Audio-visual Talking Dialogue Generation","created":"2026-07-02","cited_by_count":0,"area":null},{"id":"2607.14932","title":"Benchmarking Face Recognition without Real Faces","created":"2026-07-16","cited_by_count":0,"area":null},{"id":"2607.24422","title":"IJCB-AFMFR 2026: Competition on Adapting Foundation Models for Face Recognition Using Synthetic Training Data","created":"2026-07-27","cited_by_count":0,"area":null},{"id":"2608.27527","title":"FVeinSyn: Synthetic Finger Vein Image Generator","created":"2026-08-27","cited_by_count":0,"area":null}],"next_cursor":null}