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ZENGYIMING-EAMON
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CorrNet3D
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds
GNU General Public License v3.0
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TypeError: __init__() missing 2 required positional arguments: 'input_pts' and 'k_nn'
#14
ly16637857359
opened
1 year ago
0
early stop?
#13
balabalaboy
opened
1 year ago
3
from omegaconf.errors import UnsupportedValueType, ValidationError ImportError: cannot import name 'UnsupportedValueType' from 'omegaconf.errors' (/home/zzu/anaconda3/envs/corrnet3d/lib/python3.8/site-packages/omegaconf/errors.py)
#12
ly16637857359
closed
1 year ago
4
请问怎么构造我自己数据集的h5文件
#11
ly16637857359
opened
1 year ago
0
Can we use cross source point clouds?
#10
vatsmartyradha
opened
1 year ago
0
lit_corrnet3d_clean.py: error: unrecognized arguments: --ckpt_user=lightning_logs/version_114/checkpoints/epoch=43-step=202399.ckpt
#9
lllllialois
opened
2 years ago
10
About the license for this model
#8
AtsushiHashimoto
closed
2 years ago
2
Regarding the pre-trained model performance
#7
yanagi-lmd
closed
2 years ago
1
About the non-rigid dataset (Fig.5 in your paper)
#6
yanagi-lmd
closed
3 years ago
2
关于使用自己的数据
#5
cathylacus
closed
3 years ago
1
How to see the result
#4
caijinana
closed
2 years ago
1
How can I train the supervised version
#3
MrZ19
closed
3 years ago
3
How to feed a pair of raw point clouds and get the learned correspondence matrix?
#2
sun6s
closed
3 years ago
6
About Dataset of Test
#1
cainiaoshidai
closed
3 years ago
4