Comments (7)
Hi, I am sharing the obj mesh model of the NeRF synthetic dataset that we used in the provided link.
https://drive.google.com/drive/folders/1hgbsUmtkjKbw8exLXF-DtcRWoVp6GQ_Y?usp=share_link
Thanks
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Hi, we provide the link of the dataset in the run.sh
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Sorry to further interupt.
There is only DTU dataset available in the provided link.
Can you provide training and testing data for NeRF_synthetic scenes?
from hfs.
Hi, thanks for your reminder.
I have updated the datasets in the link.
from hfs.
Thank you for sharing the code and the dataset! May I ask if you can also share the GT geometry used to compute chamfer distance on NeRF synthetic dataset? I'm also wondering how did you manage to obtain the GT, as the mesh from blender file contains a lot of invisible surfaces. Did you obtain the GT by rendering depth and extracting point clouds from there? Many thanks!
from hfs.
Hi Yiqun,
Thanks for your link to the obj file. However, I still had trouble evaluating the derived mesh and the GT mesh you provide. Could you show me more detailed steps to evaluate the metrics?
Thanks again!
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Hi yiqun,
Thank you for this great job. I spent nearly 40 hours training run.sh using RTX 4090. Is this normal?
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Related Issues (17)
- Question about the paper: 𝛼-composition and the case of multiple surfaces HOT 1
- Code released HOT 8
- Training time and TQDM HOT 1
- Blendedmvs evaluation
- What's the difference between s and inv_s in function render_core? HOT 1
- Rendering is fine but mesh is empty HOT 1
- How to get water-tight mesh for evaluation? HOT 2
- Request for DTU training config with mask HOT 1
- no HOT 1
- Intensive Memory Usage
- blender dataset HOT 2
- Mesh without Displacement Function HOT 2
- Change to multi card training HOT 1
- Using pre trained models!!
- evaluating the mesh on NeRF synthetic dataset
- error
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