{"list":"other","total":61,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"id":"2006.11239","title":"Denoising Diffusion Probabilistic Models","created":"2020-06-19","cited_by_count":21076},{"id":"1911.05722","title":"Momentum Contrast for Unsupervised Visual Representation Learning","created":"2019-11-13","cited_by_count":7513},{"id":"1812.04948","title":"A Style-Based Generator Architecture for Generative Adversarial Networks","created":"2018-12-12","cited_by_count":6013},{"id":"1912.04958","title":"Analyzing and Improving the Image Quality of StyleGAN","created":"2019-12-03","cited_by_count":3588},{"id":"2208.12242","title":"DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation","created":"2022-08-25","cited_by_count":3300},{"id":"1503.03832","title":"FaceNet: A Unified Embedding for Face Recognition and Clustering","created":"2015-03-12","cited_by_count":2849},{"id":"1909.13719","title":"RandAugment: Practical automated data augmentation with a reduced search space","created":"2019-09-30","cited_by_count":2269},{"id":"2006.06676","title":"Training Generative Adversarial Networks with Limited Data","created":"2020-06-11","cited_by_count":1186},{"id":"2106.12423","title":"Alias-Free Generative Adversarial Networks","created":"2021-06-23","cited_by_count":1184},{"id":"1801.09414","title":"CosFace: Large Margin Cosine Loss for Deep Face Recognition","created":"2018-01-29","cited_by_count":971},{"id":"1710.08092","title":"VGGFace2: A dataset for recognising faces across pose and age","created":"2017-10-23","cited_by_count":914},{"id":"1607.08221","title":"MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition","created":"2016-07-27","cited_by_count":624},{"id":"2012.04012","title":"Learning an Animatable Detailed 3D Face Model from In-The-Wild Images","created":"2020-12-07","cited_by_count":477},{"id":"1411.7923","title":"Learning Face Representation from Scratch","created":"2014-11-28","cited_by_count":453},{"id":"2204.00964","title":"AdaFace: Quality Adaptive Margin for Face Recognition","created":"2022-04-03","cited_by_count":391},{"id":"2109.15102","title":"Fake It Till You Make It: Face analysis in the wild using synthetic data alone","created":"2021-09-30","cited_by_count":200},{"id":"2010.05222","title":"Partial FC: Training 10 Million Identities on a Single Machine","created":"2020-10-11","cited_by_count":163},{"id":"2304.07060","title":"DCFace: Synthetic Face Generation with Dual Condition Diffusion Model","created":"2023-04-14","cited_by_count":116},{"id":"2108.07960","title":"SynFace: Face Recognition with Synthetic Data","created":"2021-08-18","cited_by_count":106},{"id":"2403.11641","title":"Arc2Face: A Foundation Model for ID-Consistent Human Faces","created":"2024-03-18","cited_by_count":101},{"id":"2210.02579","title":"DigiFace-1M: 1 Million Digital Face Images for Face Recognition","created":"2022-10-05","cited_by_count":92},{"id":"2112.06592","title":"CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability","created":"2021-12-13","cited_by_count":69},{"id":"1807.11649","title":"The Devil of Face Recognition is in the Noise","created":"2018-07-31","cited_by_count":65},{"id":"1811.08965","title":"Low-Resolution Face Recognition","created":"2018-11-21","cited_by_count":64},{"id":"2401.02524","title":"Comprehensive Exploration of Synthetic Data Generation: A Survey","created":"2024-01-04","cited_by_count":60},{"id":"2201.13433","title":"Third Time's the Charm? Image and Video Editing with StyleGAN3","created":"2022-01-31","cited_by_count":54},{"id":"2108.02922","title":"Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers","created":"2021-08-06","cited_by_count":49},{"id":"2305.19962","title":"GANDiffFace: Controllable Generation of Synthetic Datasets for Face Recognition with Realistic Variations","created":"2023-05-31","cited_by_count":49},{"id":"2305.06402","title":"Analyzing Bias in Diffusion-based Face Generation Models","created":"2023-05-10","cited_by_count":46},{"id":"1705.00393","title":"Level Playing Field for Million Scale Face Recognition","created":"2017-05-01","cited_by_count":43},{"id":"1611.01484","title":"UMDFaces: An Annotated Face Dataset for Training Deep Networks","created":"2016-11-04","cited_by_count":42},{"id":"2308.11509","title":"SwinFace: A Multi-task Transformer for Face Recognition, Expression Recognition, Age Estimation and Attribute Estimation","created":"2023-08-22","cited_by_count":39},{"id":"2002.02934","title":"How Does Gender Balance In Training Data Affect Face Recognition Accuracy?","created":"2020-02-07","cited_by_count":37},{"id":"2101.05084","title":"This Face Does Not Exist ... But It Might Be Yours! Identity Leakage in Generative Models","created":"2020-12-10","cited_by_count":33},{"id":"2404.04580","title":"SDFR: Synthetic Data for Face Recognition Competition","created":"2024-04-06","cited_by_count":28},{"id":"2211.07371","title":"Unsupervised Face Recognition using Unlabeled Synthetic Data","created":"2022-11-14","cited_by_count":27},{"id":"2106.04215","title":"On the use of automatically generated synthetic image datasets for benchmarking face recognition","created":"2021-06-08","cited_by_count":26},{"id":"1802.05891","title":"Training Deep Face Recognition Systems with Synthetic Data","created":"2018-02-16","cited_by_count":22},{"id":"2307.05151","title":"ExFaceGAN: Exploring Identity Directions in GAN's Learned Latent Space for Synthetic Identity Generation","created":"2023-07-11","cited_by_count":22},{"id":"2405.01820","title":"Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention","created":"2024-05-03","cited_by_count":21},{"id":"1406.5266","title":"Web-Scale Training for Face Identification","created":"2014-06-20","cited_by_count":20},{"id":"2409.17576","title":"ID$^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition","created":"2024-09-26","cited_by_count":18},{"id":"1603.07057","title":"Do We Really Need to Collect Millions of Faces for Effective Face Recognition?","created":"2016-03-23","cited_by_count":17},{"id":"2505.24247","title":"50 Years of Automated Face Recognition","created":"2025-05-30","cited_by_count":15},{"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},{"id":"2405.00228","title":"Synthetic Face Datasets Generation via Latent Space Exploration from Brownian Identity Diffusion","created":"2024-04-30","cited_by_count":12},{"id":"2411.08470","title":"HyperFace: Generating Synthetic Face Recognition Datasets by Exploring Face Embedding Hypersphere","created":"2024-11-13","cited_by_count":12},{"id":"2504.00430","title":"Data Synthesis with Diverse Styles for Face Recognition via 3DMM-Guided Diffusion","created":"2025-04-01","cited_by_count":12},{"id":"2308.14256","title":"FaceChain: A Playground for Human-centric Artificial Intelligence Generated Content","created":"2023-08-28","cited_by_count":10},{"id":"2404.11236","title":"ONOT: a High-Quality ICAO-compliant Synthetic Mugshot Dataset","created":"2024-04-17","cited_by_count":10},{"id":"2409.18876","title":"CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition","created":"2024-09-27","cited_by_count":10},{"id":"2411.02188","title":"Digi2Real: Bridging the Realism Gap in Synthetic Data Face Recognition via Foundation Models","created":"2024-11-04","cited_by_count":9},{"id":"2412.06235","title":"VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition","created":"2024-12-09","cited_by_count":8},{"id":"2304.11685","title":"Child Face Recognition at Scale: Synthetic Data Generation and Performance Benchmark","created":"2023-04-23","cited_by_count":6},{"id":"2404.17255","title":"SDFD: Building a Versatile Synthetic Face Image Dataset with Diverse Attributes","created":"2024-04-26","cited_by_count":6},{"id":"2403.08277","title":"VIGFace: Virtual Identity Generation for Privacy-Free Face Recognition","created":"2024-03-13","cited_by_count":5},{"id":"2503.14402","title":"Diffusion-based Facial Aesthetics Enhancement with 3D Structure Guidance","created":"2025-03-18","cited_by_count":4},{"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},{"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}],"next_cursor":null}