Forward pass of rectified flow model
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- Python
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Description
I'm reimplementing the forward process of your rectified flow model but I am not able to find details in the paper and the implementation.
Could you elaborate more regarding converting a mesh into the active voxel representation and how you generate the noise for the rectified flow model during sparse structure generation and later during structured latents generation? Also, could you provide hyper-parameters that you use during the process?
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Research direction
No files, tests, or entry points are named. Read the paper and implementation sections covering mesh-to-active-voxel conversion and rectified-flow noise for sparse structure and structured latent generation. The documentation should explain both forward processes and list the hyperparameters used.
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Assessment
- Tech stack
- python
- Domain
- computer-graphics, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100