bbab

gym == 0.10.5 tensorflow==1.7.1 That is my env.

-m argument will treat .py file as a script. u don't need to add py. python -m table.experiment is ok. And u should train first and get trained model. Then...

You can draw an analogy with nerf. pixel_colors_nr is the coarse model rendering, pixel_colors_nr_fine is the fine model rendering.

yes, I find the path: "C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.34.31933\bin\Hostx64\x64" And add this to the torch_utils.custom_ops.py._find_compiler_bindir `def _find_compiler_bindir(): patterns = [ 'C:/Program Files*/Microsoft Visual Studio/*/Professional/VC/Tools/MSVC/*/bin/Hostx64/x64', 'C:/Program Files*/Microsoft Visual Studio/*/BuildTools/VC/Tools/MSVC/*/bin/Hostx64/x64', 'C:/Program Files*/Microsoft...

Thanks for your reply. I see. Another question, How many GS points are there during the Refine stage? 6 points per triangle, that is a huge number.

Thanks for yout reply. But I use your tankandtemple dataset class and it told me lacks of bbox.txt. Did I use the worse config? Or can u provide the tnt...

when encode the rgb image, they set render_image.clamp(-1, 1)，if value large than 1, it will oversaturated. I try sigmoid and random initialized network, it will more stable.

Have you tried it on the SD3.5 Large model? I used cfg_scale=0.15 and encountered distortion issues. My prompt: "Captain America stands by the lake."

> Have you tried it on the SD3.5 Large model? I used cfg_scale=0.15 and encountered distortion issues. My prompt: "Captain America stands by the lake." I found I did not...

> Hi everyone [@zaptrem](https://github.com/zaptrem) [@LeeDoYup](https://github.com/LeeDoYup) [@SCUTykLin](https://github.com/SCUTykLin), > > Apologies for late response. We find that correct implementation is as shown below. With this, the proper scales match those reported in...