This repo intends to release code for our work:
Zhaoyang Lyu*, Zhifeng Kong*, Xudong Xu, Liang Pan, Dahua Lin, "A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion".
* Equal contribution
We are still working on refactoring our code and it's expected to be released by Feb 2022.
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Dear ZhaoYang,
There is no such file exp_configs/mvp_configs/config_standard_attention_real_3072_partial_points_rot_90_scale_1.2_translation_0.1.json in the repo.
Is it possible for you to attach a configuration file?
Thanks!
tandard_attention_real_3072_partial_points_rot_90_scale_1.2_translation_0.1.json
Have set cuda visible devices to 0,1,2,3,4,5,6,7
The distributed url we use is tcp://0.0.0.0:44507
['train.py', '--config=exp_configs/mvp_configs/config_standard_attention_real_3072_partial_points_rot_90_scale_1.2_translation_0.1.json', '--group_name=group_2022_10_19-021536', '--dist_url=tcp://0.0.0.0:44507', '--rank=0']
['train.py', '--config=exp_configs/mvp_configs/config_standard_attention_real_3072_partial_points_rot_90_scale_1.2_translation_0.1.json', '--group_name=group_2022_10_19-021536', '--dist_url=tcp://0.0.0.0:44507', '--rank=1']
Traceback (most recent call last):
Traceback (most recent call last):
File "train.py", line 714, in
Hey! Thanks for your wonderful work!
I am interested in your work. I don't know if I understand correctly: it is possible to apply REFINEMENT NETWORK to refine any other corse point clouds by training on other point cloud datasets. But I can not know how to train REFINEMENT NETWORK from your given code. So could you please give me some guidance for training on other point cloud dataset？
Or are there any checkpoints from training on shapenet?
Thanks for your help! Looking forward to your reply.
Hi, thanks for your excellent work first. I am curious about how to make the pointnet++ trainable in DDPM by attaching the absolute positions of the neighbor points. After reading your code, this operation only happens in the FeatureMapModule with knn query, where the absolute positions are concatenated with their features for the neighbour points. Is that right?
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