ID-V2V

The official implementation of SIGGRAPH Asia 2026 paper "ID-V2V: Identity-preserving Video Restylization"

Not yet testedsource: GitHubhomepagePythonApache-2.0commit b9df1e501b25

Python, Apache-2.0 licensed. The project labels itself: controllable generation, relighting, video editing, video generation, video to video, videoediting and videogeneration.

ID-V2V has not been verified yet.

Measured by Argusic on a fresh machine every time. Every number links to its evidence.

At a glance

verdict
Not yet tested
Argusic Score
not scored yet
recorded runs
0
last tested
-
stars
281
forks
29
open issues
1
watchers
2
size
197 MB
created
last push

Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.

Run history

No recorded runs.

Topics (from GitHub)

controllable-generationrelightingvideo-editingvideo-generationvideo-to-videovideoeditingvideogeneration

Embed the badge

Markdown for the project README. It links back here; terms on the terms page.

[![Tested by Argusic](https://argusic.com/badge/ID-V2V.svg)](https://argusic.com/subject/id-v2v)

Questions

Does ID-V2V run?
ID-V2V has not been fully verified yet. No recorded run has produced a verdict yet.
How did Argusic test ID-V2V?
On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
Where is the evidence for ID-V2V?
All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.

Discussion