ZENGYIMING-EAMON / CorrNet3D

CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds

ZENGYIMING-EAMON/CorrNet3D Issues

TypeError: __init__() missing 2 required positional arguments: 'input_pts' and 'k_nn'
Updated a year ago
early stop？
Updated 5 months ago3
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)
Closed a year ago4
请问怎么构造我自己数据集的h5文件
Updated a year ago
Can we use cross source point clouds?
Updated 2 years ago
lit_corrnet3d_clean.py: error: unrecognized arguments: --ckpt_user=lightning_logs/version_114/checkpoints/epoch=43-step=202399.ckpt
Updated 2 years ago10
About the license for this model
Closed 2 years ago2
Regarding the pre-trained model performance
Closed 2 years ago1
About the non-rigid dataset (Fig.5 in your paper)
Closed 3 years ago2
关于使用自己的数据
Closed 3 years ago1
How to see the result
Closed 2 years ago1
How can I train the supervised version
Closed 3 years ago3
How to feed a pair of raw point clouds and get the learned correspondence matrix?
Closed 3 years ago6
About Dataset of Test
Closed 3 years ago4