Open MaroonAmor opened 2 years ago
@ashawkey thanks for this implementation. I have a question: would you add a colorized mesh generation step?
@ashawkey Thanks a lot for your reply. I have some follow-up questions.
For the 2nd point: The floaters will be reduced for sure. But is the 3D model quality of the central object also improved by using bg_radius
?
For the 3rd point: From the NeuS paper, it is still not obvious to make a conclusion if using masks would improve the 3D model quality for NeRF-based approaches. We can see from the quantitative evaluation of the NeuS paper (figure below) that the Chamfer distances w/ mask are not always smaller than w/o mask, and the average distance w/o mask for NeRF is slightly smaller than the case w/ mask. Could you share more insights about it? Please correct me if I misunderstood something. Thanks again.
Hi @ashawkey, thanks for the great work!
I'm reaching out to explore the 3D mesh quality from torch-ngp. I'd like to understand from your perspective if you ever conducted any experiments in this direction.
bg_radius
can help deal with background data and help reduce noise. Does addingbg_radius
also improve the output 3D mesh quality for the real-world data compared to the case without usingbg_radius
?bg_radius
, have you conducted experiments using 2D foreground masks to segment the object from images and then ran torch-ngp? Could you share some thoughts about if segmentation would help achieve better results vs. non-segmented data (in terms of extracted 3D model quality)?Looking forward to hearing from you. Thanks again.