lucidrains / lucidrains/bit-diffusion
Performance of this code in image generation task
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- Dominant language
- Python
- Stars
- 356
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- 20
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Description
Dear @lucidrains, thank you very much for providing the code. It's really helpful for my own research on diffusion model.
I am wondering if you have reached the reported performance in Analog Bits paper for the image generation task?
I am trying to reproduce the image captioning task in the paper, but unfortunately I couldn't reach the reported performance. So I am checking the code of the image generation task in this repo, to see if I did anything wrong in my own code.
Also, if you've tried reproducing the image captioning task, I would love to hear your suggestions.
Thank you very much!
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Research direction
The issue does not name a file, test, or entry point. Start by locating the Python/PyTorch image-generation implementation and comparing its setup with the Analog Bits paper and the reported image-captioning results. Done would mean reproducing the reported performance or documenting a concrete discrepancy and its cause.
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Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100