How does causal-AnyFlow compare to causal-rCM?

Open
#8 1 comment 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
25/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Quiet
Tech stack
python
Domain
machine-learning

Research direction

No files, tests, or entry points are named. Start by defining a reproducible 1-step comparison between causal-AnyFlow and causal-rCM using the reported VBench claims; done means documenting whether AnyFlow matches rCM and whether arbitrary-step inference makes it preferable.

Written by the indexing model from the issue text.

Description

I noticed that rCM has released a causal version and claims that its 1-step frame-wise model achieves a higher VBench score than 4-step chunk-wise AnyFlow.

I am curious whether AnyFlow can also achieve performance comparable to rCM in 1-step generation. If so, should we simply use AnyFlow instead of rCM in the future, since AnyFlow supports arbitrary-step inference?

Image
Dominant language
Python
Stars
428
Forks
11
No merged PRs in 30d

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

More from NVlabs/AnyFlow

All issues in NVlabs/AnyFlow

Similar issues

More Python issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.