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mped's Introduction

MPED

HVS tasks: Implemented by MATLAB

CV tasks: Implemented by Python and Pytorch

Please install pytorch3d first: https://github.com/facebookresearch/pytorch3d

The database used in Demo.py comes from LatentNet(https://github.com/optas/latent_3d_points)

If you use our code, please cite our paper:

Q. Yang, Y. Zhang, S. Chen, Y. Xu, J. Sun and Z. Ma, "MPED: Quantifying Point Cloud Distortion Based on Multiscale Potential Energy Discrepancy," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 5, pp. 6037-6054, 1 May 2023, doi: 10.1109/TPAMI.2022.3213831.

mped's People

Contributors

qi-yangsjtu avatar

Stargazers

Aleksandra Zaforemska avatar Wenxi Ma avatar LongChen avatar Jianqiang Wang avatar

Watchers

Jianqiang Wang avatar avatar

Forkers

linsanityyong zhangyujie-1998 rain2050

mped's Issues

杨博士您好，我对MPED.py代码里有一处代码有疑问，想求证下

在求SPED时，您直接将每个center point在两个点云中K近邻的能量对应相减取绝对值，再求和得到每个center point的能量差，原文里不应该是将每个center point在两个点云中K近邻的能量内部求和后，再相减取绝对值嘛？
dis_energy = (energy_x - energy_y).abs() # 50,2048,3
dis_energy = dis_energy.sum(dim=2) #
dis_energy = dis_energy.sum(dim=1)
我认为正确的做法：
energy_x = torch.sum(energy_x, dim=2)#先将每个点的能量计算出来
energy_y = torch.sum(energy_y, dim=2)
dis_energy = (energy_x - energy_y).abs()#计算每个点在两个点云中的能量差
dis_energy = dis_energy.sum(dim=1)#计算所有点的能量差和#torch.size(N)

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