Thanks to visit codestin.com
Credit goes to github.com

Skip to content

GPU memory usage and incorrect rendering? #1

@Kai-46

Description

@Kai-46

Hi, @derksend , nice work and presentation. However, I've got some questions. Hope you don't mind.

  1. It seems to me that shadow neural radiance fields somehow are GPU memory hungry. I have to set the image downsampling factor to 8 to feed the Data Fusion Contest images into a single GPU with 12G memory. The training image resolution seems to be only 128x128, shown below in the ’train.png'. Any idea of training shadow neural radiance fields on high-res (2048x2048) images on limited-memory GPU?

  2. The 16th row in the attached ’train.png’ seems to have strange patterns; only the diagonal of the images are correctly rendered. Any idea why this is the case? I’ve observed such phenomena on all the four sites I tried: JAX_165, JAX_166, JAX_167, JAX_168.

Looking forward to your reply!

Thank you,
Kai

train

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions