Doesn't seem to generalize well
See original GitHub issueI tried to test the performance of DDRM by adding a photo of myself to the ood_celeba
directory and running
python main.py --ni --config celeba_hq.yml --doc celeba --timesteps 20 --eta 0.85 --etaB 1 --deg sr4 --sigma_0 0.05 -i celeba_hq_sr4_sigma_0.05
While the examples from the original CelebA set are reconstructed very accurately, results on this additional photo are less than optimal, let’s say 😃 Now I’m not a celebrity, but I was wondering whether you have an idea of what is happening here .
Issue Analytics
- State:
- Created a year ago
- Reactions:1
- Comments:5 (1 by maintainers)
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There is a FFHQ checkpoint from https://github.com/jychoi118/ilvr_adm/ that you might be interested in checking out as well. It is not too hard to add this into our code, as their model is also based on the OpenAI’s ADM model. Afaik, the CelebA model provided by the DDPM authors has some color shift issues if you try to use it for unconditional generation.
Same issue with Scarlett Johansson