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lizhe00 / AnimatableGaussians

Code of [CVPR 2024] "Animatable Gaussians: Learning Pose-dependent Gaussian Maps for High-fidelity Human Avatar Modeling"
https://animatable-gaussians.github.io/
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AvatarRex数据集中的cano_smpl_pos_map.exr和init_pts_lbs.npy我该如何获得？在network.avatar.py中的第27行和31行中有引用 #11

Closed zhangdanq closed 3 months ago

zhangdanq commented 3 months ago

https://github.com/lizhe00/AnimatableGaussians/blob/4441d7b383a7e7d38624660fc65713c92e9c800e/network/avatar.py#L27 https://github.com/lizhe00/AnimatableGaussians/blob/4441d7b383a7e7d38624660fc65713c92e9c800e/network/avatar.py#L31

lizhe00 commented 3 months ago

https://github.com/lizhe00/AnimatableGaussians/blob/master/README.md#data-preparation

zhangdanq commented 3 months ago

感谢回复，我解决了这个问题

liwenssss commented 3 months ago

Just to confirm, do we need to generate the cano_smpl_pos_map for the AvatarRex dataset following the steps mentioned in GEN_DATA.md? I thought the provided link in PREPROCESSED_DATASET.md already includes it.....

liwenssss commented 3 months ago

Just to confirm, do we need to generate the cano_smpl_pos_map for the AvatarRex dataset following the steps mentioned in GEN_DATA.md? I thought the provided link in PREPROCESSED_DATASET.md already includes it.....

Sry, I solve the problem.. I confused the link between the raw data and the processed data..