About URNet

[Sand-Glass]

Great work, I'd like to reproduce, just ran into some confusion.

1. Regarding the SUN3D dataset, I don’t know how to download it. I found many folders on the official website https://sun3d.cs.princeton.edu/, which one should I download?
   

2.Which dataset is the Pix2Vox++ used in URNet trained on (SUN3D and the final actual demonstration)?

Besides, I don’t know if you have any plans to open source it. If you can, it would be greatly appreciated.

[hzxie]

What is URNet?

[hzxie]

SUNCG is no longer available due to the law case between Planner 5D and Princeton.
See also:

• https://gritdaily.com/facebook-princeton-ai-computer-vision-lawsuit-dismissed-for-now/
• The SUNCG dataset is not available now facebookresearch/House3D#57

[Sand-Glass]

What is URNet?

URNet is the scene reconstruction network mentioned in Chapter 5 of your paper (3D Scene and Object Reconstruction from Multiple Sources and Viewpoints).
I'm trying to reproduce it, but I don't know which data set the Pix2Vox++ you used was trained on.
I'm thinking it's in Thing3D-Chairs-RFC? Or just go directly to ShapeNet-Chairs.

[Sand-Glass]

SUN3D, not SUNCG or Things3D. Because your paper mentioned that this data can facilitate the comparison of multi-view 3D reconstruction of scenes. So I tried to download it, but there were too many folders in it, and I didn’t know how to choose.

[hzxie]

In which paper did I mention SUN3D?
Sorry, the work was done more than a half-decade ago, I cannot remember the details.

[Sand-Glass]

Hahaha, it is mentioned on page 85 of this paper(3D Scene and Object Reconstruction from Multiple Sources and Viewpoints).Click the link to jump.
​

What should I do to reproduce them?

[hzxie]

Please refer to https://sun3d.cs.princeton.edu/