The latent channel (4,16,16) in paper is not same with that in the code (64,16,16)
Open
question
- Dominant language
- Python
- Stars
- 159
- Forks
- 10
- PR merge metrics
- No merged PRs in 30d
Description
the latent_channels in `scripts/vae/sevirlr/cfg.yaml` is 64 but the latent_channels in the paper's Implementation Details is 4.
Will it reduce the training time during the denoise when the latent_channels is set as 64? Because the original data is 128 * 128 = 64 * 16 * 16.
Contributor guide
No contributing guide indexed for this repository
Assessment
This issue has not been assessed yet.