Poor result different with official demo
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 13.7k
- Forks
- 1.3k
- PR merge metrics
- No merged PRs in 30d
Description
Thanks for great open-source work!
I tried the 'text to model' model, using prompt "Metallic dog-like robot with articulated legs and futuristic design elements." given by page 6 in paper, but the output result is not good, and different with demo presented in paper.
demo:
output:
I run many times and ensure it is not my PC's error
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.
Research direction
The report provides only the paper's prompt and image comparisons; no source file, entry point, or test is named. Start by reproducing the text-to-model run with that prompt and compare it with the paper demo, then identify a confirmed cause and define a reproducible regression check before proposing a fix.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-graphics, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100