Cross View Fusion for 3D Human Pose Estimation

ICCV 2019 Haibo QiuChunyu WangJingdong WangNaiyan WangWenjun Zeng

We present an approach to recover absolute 3D human poses from multi-view images by incorporating multi-view geometric priors in our model. It consists of two separate steps: (1) estimating the 2D poses in multi-view images and (2) recovering the 3D poses from the multi-view 2D poses... (read more)

PDF Abstract

Evaluation Results from the Paper


#2 best model for 3D Human Pose Estimation on Human3.6M (using extra training data)

     Get a GitHub badge
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
COMPARE
3D Human Pose Estimation Total Capture Fusion-RPSM Average MPJPE (mm) 29 # 2
3D Human Pose Estimation Total Capture Single-RPSM Average MPJPE (mm) 41 # 5