Comments (4)
jkla139
commented on May 20, 2024
1
@jkla139 how different is it from gigagan? did they just extend it from 2d to 3d?
It's not clear. Many technological details are not mentioned, including discriminator.
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lucidrains
commented on May 20, 2024
@jkla139 how different is it from gigagan? did they just extend it from 2d to 3d?
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lucidrains
commented on May 20, 2024
https://github.com/lucidrains/videogigagan-pytorch
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lucidrains
commented on May 20, 2024
i see, they have ~3 new tricks, yea i can embark on it this month
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Related Issues (20)
- [Question] About the upscaler HOT 2
- Multi GPU training HOT 4
- Multi GPU with gradient accumulation
- [Request] Please provide a replicate.com version
- Confused about this project?
- NaN losses after hours of training (UPSAMPLER) HOT 16
- How to implement this model to enhance my input images? Do I have to train the model to use? HOT 2
- Weights of Gigagan Upscaler HOT 1
- Turn on/off gradients computation between generator/discriminator HOT 2
- Wrong order of resolutions list HOT 1
- to_rgb branch has only 1 learnable kernel HOT 7
- Gradient Penalty is very high in the start HOT 10
- How to use this model for SR ?
- Has Anyone Trained This Model Yet? HOT 2
- The text-to-image tasks
- Config to reproduce paper
- question about code in unet_upsampler.py HOT 1
- the loss became nan after a few train steps HOT 2
- Standard Attention vs ViTGAN Attention HOT 1
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