Closed gaobodaxinwen closed 2 years ago
Thanks for your interest in our work! Related data can be downloaded from iccv21_assets.zip
chamfer.py - evaluation code for chamfer distance, there is brief instruction for the usage *.ply - processed ground truth (fountain|herzjesu)_(main|full) - manually labeled masks
For PSNR evaluation, we also take the intersection of the rendering masks across all the methods.
Thanks for your quick and detailed reply!
Thanks for sharing this great work. I am curious about the evaluation on EPFL fountain and Herzjesu dataset. It seems that you use this script to evaluate on the DTU dataset. Do you use the same script to evaluate on EPFL dataset ? What's more, could you please provide the masks of images and gt point clouds of EPFL dataset?