{"total":35,"rows":[{"id":"2306.16940","title":"BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion","created":"2023-06-29","cited_by_count":236,"area":null},{"id":"2105.02465","title":"PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation","created":"2021-05-06","cited_by_count":89,"area":null},{"id":"2304.10417","title":"SINC: Spatial Composition of 3D Human Motions for Simultaneous Action Generation","created":"2023-04-20","cited_by_count":64,"area":null},{"id":"2203.03609","title":"Human-Aware Object Placement for Visual Environment Reconstruction","created":"2022-03-07","cited_by_count":56,"area":null},{"id":"2104.11536","title":"Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective","created":"2021-04-23","cited_by_count":50,"area":null},{"id":"2403.10075","title":"A survey of synthetic data augmentation methods in computer vision","created":"2024-03-15","cited_by_count":34,"area":null},{"id":"2112.11593","title":"AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation","created":"2021-12-22","cited_by_count":32,"area":null},{"id":"2104.14837","title":"RobustFusion: Robust Volumetric Performance Reconstruction under Human-object Interactions from Monocular RGBD Stream","created":"2021-04-30","cited_by_count":26,"area":null},{"id":"2105.13965","title":"Revitalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation","created":"2021-05-28","cited_by_count":19,"area":null},{"id":"2303.16456","title":"Global Adaptation meets Local Generalization: Unsupervised Domain Adaptation for 3D Human Pose Estimation","created":"2023-03-29","cited_by_count":19,"area":null},{"id":"2312.08291","title":"VQ-HPS: Human Pose and Shape Estimation in a Vector-Quantized Latent Space","created":"2023-12-13","cited_by_count":13,"area":null},{"id":"2110.09243","title":"Leveraging MoCap Data for Human Mesh Recovery","created":"2021-10-18","cited_by_count":12,"area":null},{"id":"2308.09678","title":"PoSynDA: Multi-Hypothesis Pose Synthesis Domain Adaptation for Robust 3D Human Pose Estimation","created":"2023-08-18","cited_by_count":12,"area":null},{"id":"2211.13357","title":"MPT: Mesh Pre-Training with Transformers for Human Pose and Mesh Reconstruction","created":"2022-11-24","cited_by_count":11,"area":null},{"id":"2212.08896","title":"Human Image Generation: A Comprehensive Survey","created":"2022-12-17","cited_by_count":11,"area":null},{"id":"2209.04596","title":"Self-supervised Human Mesh Recovery with Cross-Representation Alignment","created":"2022-09-10","cited_by_count":9,"area":null},{"id":"2212.05223","title":"Progressive Multi-view Human Mesh Recovery with Self-Supervision","created":"2022-12-10","cited_by_count":9,"area":null},{"id":"2207.09303","title":"DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimation","created":"2022-07-19","cited_by_count":8,"area":null},{"id":"2211.11983","title":"Weakly-supervised Pre-training for 3D Human Pose Estimation via Perspective Knowledge","created":"2022-11-22","cited_by_count":6,"area":null},{"id":"2301.02979","title":"CameraPose: Weakly-Supervised Monocular 3D Human Pose Estimation by Leveraging In-the-wild 2D Annotations","created":"2023-01-08","cited_by_count":6,"area":null},{"id":"2405.15939","title":"Diversifying Human Pose in Synthetic Data for Aerial-view Human Detection","created":"2024-05-24","cited_by_count":5,"area":null},{"id":"2207.03618","title":"PoseGU: 3D Human Pose Estimation with Novel Human Pose Generator and Unbiased Learning","created":"2022-07-07","cited_by_count":4,"area":null},{"id":"2210.00715","title":"WorldGen: A Large Scale Generative Simulator","created":"2022-10-03","cited_by_count":4,"area":null},{"id":"2109.10257","title":"Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs","created":"2021-09-21","cited_by_count":2,"area":null},{"id":"2312.14915","title":"PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF","created":"2023-12-22","cited_by_count":2,"area":null},{"id":"2403.08650","title":"Data Augmentation in Human-Centric Vision","created":"2024-03-13","cited_by_count":2,"area":null},{"id":"2110.07118","title":"Nuisance-Label Supervision: Robustness Improvement by Free Labels","created":"2021-10-14","cited_by_count":1,"area":null},{"id":"2302.14306","title":"CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping","created":"2023-02-28","cited_by_count":1,"area":null},{"id":"2307.08092","title":"Gait Data Augmentation using Physics-Based Biomechanical Simulation","created":"2023-07-16","cited_by_count":1,"area":null},{"id":"2503.13025","title":"PoseSyn: Synthesizing Diverse 3D Pose Data from In-the-Wild 2D Data","created":"2025-03-17","cited_by_count":1,"area":null},{"id":"2504.12699","title":"Unsupervised Cross-Domain 3D Human Pose Estimation via Pseudo-Label-Guided Global Transforms","created":"2025-04-17","cited_by_count":1,"area":null},{"id":"2104.00953","title":"Learning Transferable Kinematic Dictionary for 3D Human Pose and Shape Reconstruction","created":"2021-04-02","cited_by_count":0,"area":null},{"id":"2110.07283","title":"DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors","created":"2021-10-14","cited_by_count":0,"area":null},{"id":"2310.06068","title":"Augmenting Vision-Based Human Pose Estimation with Rotation Matrix","created":"2023-10-09","cited_by_count":0,"area":null},{"id":"2409.14101","title":"PoseAugment: Generative Human Pose Data Augmentation with Physical Plausibility for IMU-based Motion Capture","created":"2024-09-21","cited_by_count":0,"area":null}],"next_cursor":null}