
The core message of this article is to present FreeMan, a large-scale multi-view dataset for 3D human pose estimation in real-world conditions, which addresses the limitations of existing datasets collected in controlled laboratory settings.


coremsg

towards-benchmarking-3d-human-pose-estimation-in-real-world-conditions


Towards Benchmarking 3D Human Pose Estimation in Real-World Conditions


title_rewrite


LiDARを使用した3Dヒューマンポーズ推定のためのLPFormerフレームワークの紹介と性能評価。


lpformer-lidar-pose-estimation-transformer-with-multi-task-network


LPFormer: LiDAR Pose Estimation Transformer with Multi-Task Network
