{"total":47,"rows":[{"id":"2102.02754","title":"Only a Matter of Style: Age Transformation Using a Style-Based Regression Model","created":"2021-02-04","cited_by_count":92,"area":null},{"id":"2205.03257","title":"Synthetic Data -- what, why and how?","created":"2022-05-06","cited_by_count":67,"area":null},{"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,"area":null},{"id":"2106.09369","title":"Wavelet-Packets for Deepfake Image Analysis and Detection","created":"2021-06-17","cited_by_count":25,"area":null},{"id":"2207.11025","title":"Custom Structure Preservation in Face Aging","created":"2022-07-22","cited_by_count":19,"area":null},{"id":"2303.11086","title":"Pluralistic Aging Diffusion Autoencoder","created":"2023-03-20","cited_by_count":17,"area":null},{"id":"2111.04230","title":"A Study of the Human Perception of Synthetic Faces","created":"2021-11-08","cited_by_count":14,"area":null},{"id":"2308.16316","title":"Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art","created":"2023-08-30","cited_by_count":14,"area":null},{"id":"2105.14678","title":"Image-to-Video Generation via 3D Facial Dynamics","created":"2021-05-31","cited_by_count":13,"area":null},{"id":"2105.07789","title":"Temporal Prediction and Evaluation of Brassica Growth in the Field using Conditional Generative Adversarial Networks","created":"2021-05-17","cited_by_count":12,"area":null},{"id":"2108.02874","title":"Disentangled Lifespan Face Synthesis","created":"2021-08-05","cited_by_count":11,"area":null},{"id":"2105.00020","title":"Continuous Face Aging via Self-estimated Residual Age Embedding","created":"2021-04-30","cited_by_count":8,"area":null},{"id":"2203.04453","title":"Machine Learning in NextG Networks via Generative Adversarial Networks","created":"2022-03-09","cited_by_count":8,"area":null},{"id":"2308.00773","title":"High-Fidelity Eye Animatable Neural Radiance Fields for Human Face","created":"2023-08-01","cited_by_count":6,"area":null},{"id":"2103.10492","title":"Recent Advances in Deep Learning Techniques for Face Recognition","created":"2021-03-18","cited_by_count":5,"area":null},{"id":"2104.09457","title":"Few-Shot Model Adaptation for Customized Facial Landmark Detection, Segmentation, Stylization and Shadow Removal","created":"2021-04-19","cited_by_count":5,"area":null},{"id":"2308.10145","title":"Wasserstein Geodesic Generator for Conditional Distributions","created":"2023-08-20","cited_by_count":5,"area":null},{"id":"2101.07524","title":"DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training","created":"2021-01-19","cited_by_count":4,"area":null},{"id":"2102.12139","title":"Interpreting the Latent Space of Generative Adversarial Networks using Supervised Learning","created":"2021-02-24","cited_by_count":4,"area":null},{"id":"2103.02211","title":"K-FACE: A Large-Scale KIST Face Database in Consideration with Unconstrained Environments","created":"2021-03-03","cited_by_count":3,"area":null},{"id":"2307.11980","title":"Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model","created":"2023-07-22","cited_by_count":3,"area":null},{"id":"2311.11642","title":"Video Face Re-Aging: Toward Temporally Consistent Face Re-Aging","created":"2023-11-20","cited_by_count":3,"area":null},{"id":"2401.14036","title":"Diverse and Lifespan Facial Age Transformation Synthesis with Identity Variation Rationality Metric","created":"2024-01-25","cited_by_count":3,"area":null},{"id":"2408.15640","title":"GANs Conditioning Methods: A Survey","created":"2024-08-28","cited_by_count":3,"area":null},{"id":"2201.10423","title":"Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features","created":"2022-01-25","cited_by_count":2,"area":null},{"id":"2208.13146","title":"Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data","created":"2022-08-28","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":"2108.01659","title":"Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRI","created":"2021-08-03","cited_by_count":1,"area":null},{"id":"2111.14096","title":"Gated SwitchGAN for multi-domain facial image translation","created":"2021-11-28","cited_by_count":1,"area":null},{"id":"2205.06204","title":"F3A-GAN: Facial Flow for Face Animation with Generative Adversarial Networks","created":"2022-05-12","cited_by_count":1,"area":null},{"id":"2206.07431","title":"Physically-admissible polarimetric data augmentation for road-scene analysis","created":"2022-06-15","cited_by_count":1,"area":null},{"id":"2211.04996","title":"ParGAN: Learning Real Parametrizable Transformations","created":"2022-11-09","cited_by_count":1,"area":null},{"id":"2602.22819","title":"Face Time Traveller : Travel Through Ages Without Losing Identity","created":"2026-02-26","cited_by_count":1,"area":null},{"id":"2102.13318","title":"Continuous Face Aging Generative Adversarial Networks","created":"2021-02-26","cited_by_count":0,"area":null},{"id":"2103.02121","title":"Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks","created":"2021-03-03","cited_by_count":0,"area":null},{"id":"2110.02411","title":"Voice Aging with Audio-Visual Style Transfer","created":"2021-10-05","cited_by_count":0,"area":null},{"id":"2112.02270","title":"Feature-based Recognition Framework for Super-resolution Images","created":"2021-12-04","cited_by_count":0,"area":null},{"id":"2207.08813","title":"Audio Input Generates Continuous Frames to Synthesize Facial Video Using Generative Adiversarial Networks","created":"2022-07-18","cited_by_count":0,"area":null},{"id":"2210.00637","title":"Benign Autoencoders","created":"2022-10-02","cited_by_count":0,"area":null},{"id":"2210.07594","title":"See Blue Sky: Deep Image Dehaze Using Paired and Unpaired Training Images","created":"2022-10-14","cited_by_count":0,"area":null},{"id":"2211.10532","title":"Semantic Encoder Guided Generative Adversarial Face Ultra-Resolution Network","created":"2022-11-18","cited_by_count":0,"area":null},{"id":"2305.00925","title":"IoTFlowGenerator: Crafting Synthetic IoT Device Traffic Flows for Cyber Deception","created":"2023-05-01","cited_by_count":0,"area":null},{"id":"2309.14715","title":"Explaining Deep Face Algorithms through Visualization: A Survey","created":"2023-09-26","cited_by_count":0,"area":null},{"id":"2503.19478","title":"TeLL Me what you cant see","created":"2025-03-25","cited_by_count":0,"area":null},{"id":"2508.08808","title":"Identity-Preserving Aging and De-Aging of Faces in the StyleGAN Latent Space","created":"2025-08-12","cited_by_count":0,"area":null},{"id":"2509.15177","title":"A Race Bias Free Face Aging Model for Reliable Kinship Verification","created":"2025-09-18","cited_by_count":0,"area":null},{"id":"2606.18156","title":"ReAge3D: Re-Aging 3D Faces with View Consistency","created":"2026-06-16","cited_by_count":0,"area":null}],"next_cursor":null}