What's next for Rife
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 1k
- Forks
- 131
- PR merge metrics
- No merged PRs in 30d
Description
Hello everyone
Like the rest of the community who follow your work, we can't wait to see the new version of Rife.
As for many I use SVP 4 Pro to see anime more fluid through your technology which is a real revolution even if many do not understand it.
Congratulations on your work with StepFun, it must have changed your mind about doing other things, I hope they give you the means to develop.
As far as I'm concerned, you've got gold in your hands with Rife, and the competition is starting to realize it.
And the proof of the pudding is that others are using your algorithm to improve it, like GMFSS or MultiPassDedup, and others are taking other paths, like MAMBA-VFI or GIMM.
I hope this isn't too difficult for you.
I can't wait to see a new version released, every day I check the repo for the slightest update.
Waiting for an update that will revolutionize everything once again, with a model that doesn't need scene change detection and all in real time maybe.
You should set up a Discord to discuss this with your community, because lots of people admire your work and are trying to push forward the future of image interpolation, which is possible today
Keep up the good work
Sach_Tv
@routineLife1
@TNTwise
@david4958606
@AkarinVS
@98mxr
@GSeanCDAT
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 issue contains no file, test, entry point, or concrete implementation target. Start by reviewing the issue discussion and the repository context to determine whether a roadmap item is intended; it is done only once a specific change and acceptance criteria are defined.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 10/100