How many samples for fine-tuning?
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- Python
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Description
Hi everyone,
I am trying to use TRELLIS on a specific type of object and want to generate accurate 3D models from multiple input images. For some objects, I don't get proper outcomes with different configs and seeds. I wonder how many samples I can use to improve output quality with fine-tuning. I can generate around 1k samples using SolidWorks. Is it enough? My objects are kinds of pipes with different curvatures that make it hard for the model to reconstruct an accurate 3D output.
Also, it would be great if you have a good configuration (seed, steps, etc.) to share here.
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Research direction
No files, tests, or entry points are mentioned. Start by reviewing the repository's fine-tuning guidance and the reported SolidWorks dataset and pipe-shape problem; the issue is complete when it has an evidence-based recommendation for sample count and configuration settings such as seed and steps.
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Assessment
- Tech stack
- machine-learning, python
- Domain
- computer-graphics, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100