Haoxuan Li

In addition, using [Remove Monster Kill-Cam Plus Stylish SlowMo Finishers](https://www.nexusmods.com/monsterhunterrise/mods/93) (ver 2.6) togther with [skip intro logos](https://www.nexusmods.com/monsterhunterrise/mods/1209) (ver 1.2) disables the functionality of the former.

The lego sequence from the tutorial is generated by NeRF, so it's not surprising to get a blurry result:  If you train with the original nerf-synthetic data, it would...

> > DerKleineL > > What was your training time for each model? And what machine did you use (1 GPU?) Both trained for 400K iterations locally, which takes 1...

> > > > DerKleineL > > > > > > > > > What was your training time for each model? And what machine did you use (1 GPU?)...

Hi @mli0603 I don't think the fix works, as `bounding_box` only affects the `aabb_range` in `transforms.json`, which is not used during training. With the latest commit I tried to train...

It seems that the bounding sphere has a wrong size in my case:  Will try to fix that and update with the result. Thanks for the hint in the...

Thanks for the comment @mli0603! For Meetingroom I manually downloaded the images and colmap reconstruction from the official release of TNT, placed the file as described in `DATA_PROCESSING.md`, and ran...

@hugoycj Amazing result! Could you share more details about your pipeline? Did you use the official colmap reconstruction of TNT? How large is the bounding box? Have you modified other...

@mli0603 @hugoycj Thank you for your help. I think I found the issue: The generated `transforms.json` by the `convert_tnt_to_json.py` points the file path to the uncalibrated images. Instead of `"file_path":...

Hi all, I still need some help with the TNT dataset. Here's the result I get using the latest commit:  It's much blurrier than the paper's result. If anyone...