DM-NeRF

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ValueError: Surface level must be within volume data range.

1

Hi， thanks for excellent work. when run Mesh Generation:CUDA_VISIBLE_DEVICES=0 python -u test_dmsr.py --config configs/dmsr/test/meshing.txt. “ValueError: Surface level must be within volume data range. ”will be reported

Nieschlafen

Why we need the scene center? I don't understand. In generate_poses_eval function, u list the mani_center: ` mani_centers = {'bathroom': [0.779178, 1.05247, 0.380208], 'bedroom': [-1.29552, 1.72703, 0.2946], 'dinning': [-0.633653, 0.295162,...

SYSUykLin

Hello, Thanks for your great work. Will you release the video of the training dataset? Thanks

haoz19

Hi, I have a self-capture data like kitti style. It has a rgb image, synced point cloud, and 3D bbox label. How to generate the training data in our data?

rockywind

Hi！ Thanks for your wonderful work. In your paper, it says:"Note that, the recent Semantic-NeRF (Zhi et al., 2021a) is also not comparable because it only learns 3D semantic categories,...

MobiusLqm

Hi, thanks for excellent work, how can i do decomposition and reconstruction, is there any avaiiable command

tensarflow

Preprocessing of ScanNet scenes

2

Hi, can you show how to preprocess scannet scenes for training? I tried to run preprocess.py first and then split.py. It gave me train and test split, but when running...

liqi0126