Inpainting model
Nobody has claimed this yet.
Assessment
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Newbie friendliness
- 25/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
The issue refers to the repository's inpainting model and the original arXiv paper, but names no file or test. Start by locating the inpainting implementation and comparing it with the paper; done means providing a supplemental explanation or resource describing what the repository model does.
Written by the indexing model from the issue text.
Description
HI!
Reading through the original arxiv paper, I noticed there's no mention of the new inpainting model described in the repo. Is there a supplemental resource or some where else I can look to learn more about what was done for this inpainting model?
- Dominant language
- Python
- Stars
- 71
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
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.
More from Sharpiless/L2M
-
Difficulty 5/5 Over a week Newbie friendliness 15/100
Sharpiless/L2M#2 ·
Similar issues
-
sponsored
Difficulty 2/5 1-3 hours Newbie friendliness 65/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 86/100
Diaoul/subliminal#1382 ·
-
Difficulty 1/5 Under an hour Newbie friendliness 92/100
-
triage/confirmed
Difficulty 2/5 1-3 hours Newbie friendliness 88/100
agentscope-ai/agentscope#2775 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 84/100