Home Projects ChronoEdit
ChronoEdit
Python

ChronoEdit

[ICLR 2026] ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation

by nv-tlabs · GitHub
Stars
Forks
License
Created
Last commit
Category
Language
aigcimage-editingimage-generationApache-2.0Python
View on GitHub
In plain words

Edit images by generating video sequences that show changes over time.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
ChronoEdit — GitHub preview card
📈 Star history
698697
2026-07-202026-08-31
📈 Track ChronoEdit

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

[ICLR 2026] ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation

ChronoEdit has 697 stars on GitHub. It has been forked 42 times. ChronoEdit is written mainly in Python. It has been in active development since 2025. ChronoEdit is available under the Apache-2.0 license. Its main topics are aigc, image-editing, image-generation, video-generation.

Frequently asked questions

What is ChronoEdit?

[ICLR 2026] ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation

Is ChronoEdit open source?

ChronoEdit is an open-source project. It is released under the Apache-2.0 license.

Is ChronoEdit free?

Yes. ChronoEdit is free and open source — you can use, modify and self-host it.

What license does ChronoEdit use?

ChronoEdit is available under the Apache-2.0 license.

What language is ChronoEdit written in?

ChronoEdit is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — ChronoEdit

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=nv-tlabs-chronoedit)](https://olud.ai/project/nv-tlabs-chronoedit.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.