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chaneyddtt / Generating-Multiple-Hypotheses-for-3D-Human-Pose-Estimation-with-Mixture-Density-Network

Code for our CVPR2019 paper: Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network
MIT License
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The results on Human3.6M #5

Closed luzzou closed 4 years ago

luzzou commented 4 years ago

Hi, I ran the code by its default setting which is training on Human3.6M, the learning rate and other parameters are remained as the default value. However, I can only achieve 57.75mm MPJPE (with prior loss) after 200 epochs of training, which is different from the reported 52.7mm in the paper. Could you give any suggestions to fix this?

luzzou commented 4 years ago

@chaneyddtt Sorry, I have used the wrong dataset, the problem has be solved!

cuge1995 commented 4 years ago

@chaneyddtt Sorry, I have used the wrong dataset, the problem has be solved!

hi, I can't find this dataset, can you give me a web address ？