google-research / google-research/sparf
LLFF checkpoint
- Dominant language
- Python
- Stars
- 300
- Forks
- 16
- PR merge metrics
- No merged PRs in 30d
Description
Thank you for sharing your work!
Excuse me for my question. I found there is no checkpoint file for 'joint_pose_nerf_training/llff' in the google drive link. May I ask if you can share LLFF pre-trained models? I'm realy looking forward to it.
Additionally, compared to other sparf train_setting files, there are no settings about 'corres_weight' and 'settings_model.nerf' in 'train_settings/joint_pose_nerf_training/llff/sparf.py'. Should I modify the LLFF train_setting file to match DTU or REPLICA?
Thank you for your time!
Contributor guide
Research direction
Review the Google Drive link for the missing joint_pose_nerf_training/llff checkpoint, then compare train_settings/joint_pose_nerf_training/llff/sparf.py with the DTU and REPLICA settings mentioned in the issue. Done means the LLFF pretrained-model availability and the intended handling of corres_weight and settings_model.nerf are documented or the relevant settings are updated.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100