lucidrains / lucidrains/vector-quantize-pytorch
How to generate image using this repository
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- Dominant language
- Python
- Stars
- 4k
- Forks
- 338
- PR merge metrics
- No merged PRs in 30d
Description
HI, I am a rookie in this area, and I'm learning the original VQ-VAE. According to the original paper, how can I generate images using PixelCNN after finishing training the codebook? Can you provide same samples?
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by comparing the repository's codebook-training flow with the original VQ-VAE paper's PixelCNN generation stage. Check whether the repository exposes an entry point or example for sampling, then document the missing steps and provide representative samples. Done means a newcomer can follow the documented process from codebook training to image generation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- ai, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100