preservation of details of input image
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- Dominant language
- Python
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Description
Hi, I have tried some generation-based methods to get 3d model but found that many of them including trellis could not preserve the details of condition image, for example, sharp edge was losing. With my own understanding, input image having strong condition, should guide model to generate similiar result with input.
Is one of module of the pipeline that drops the infomation? Is any advice to improve preserve the details when finetuning model?
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Research direction
The issue names no files, tests, or entry points. Start by examining the TRELLIS image-to-3D pipeline and the conditioning path, then investigate where sharp input-image details are lost during generation or fine-tuning; done would require identifying the responsible stage and demonstrating improved detail preservation.
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Assessment
- Tech stack
- python
- Domain
- computer-graphics, machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100