Comments (2)
yangwill81
commented on May 25, 2024
Great job~~ I'm also interested in this issue. Can this loss be used in other tasks such as segmentation?
from s3im-neural-fields.
Madaoer
commented on May 25, 2024
Sorry for the late reply.
- Yes, that is how virtual patch works.
- We believe that S3IM could extract the global structural information which is different from local structural information.
- Thanks for your suggestion, the default shape of src_vec is [B, 3]. BTW, in S3IM, both src_vec and tar_vec are the input of S3IM.
@yangwill81
I think it might work as well, you can try it.
from s3im-neural-fields.
Related Issues (12)
- How do batch size come into play in the S3IM formulation HOT 4
- How to make sure s3im input matching the patch size HOT 2
- How can I obtain data?if I use my images how can I configure them? HOT 1
- Unable to converge HOT 1
- Issue when trying to run DVGO train_replica HOT 4
- About the use of S3IM. HOT 1
- Understanding of the upper s3im HOT 1
- how to use the s3im function on other training processes HOT 3
- How should I set the weights？？ HOT 3
- Reproducing results HOT 3
- Scenarios for the use of s3im loss HOT 3
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