Details of TSDF Loss
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 13.7k
- Forks
- 1.3k
- PR merge metrics
- No merged PRs in 30d
Description
Hi, Thanks for your great work! It seems there's no implementation of TSDF Loss in the codebase which is mentioned in the paper. Could you outline how to compute such loss more specifically? Thanks!
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
Start by reading the paper's description of TSDF Loss and searching the Python codebase for any related implementation or references. Document how the loss is computed and clarify whether the repository omits an implementation; done means the computation and its relationship to the codebase are explained.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-graphics, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100