nv-tlabs/ChronoEdit
[ICLR 2026] ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation
ChronoEdit helps digital artists and visual content creators edit images by understanding the implied steps between the original and desired image. You provide an initial image and a text prompt describing the desired change, and it generates a video showing a plausible transition, ensuring the edits appear natural and physically consistent. This is ideal for anyone looking to make sophisticated, realistic alterations to images that would typically require many manual steps.
679 stars.
Use this if you need to perform complex image edits, such as adding objects or changing attributes, and want the transformation to appear natural and physically consistent, rather than a jarring, instant change.
Not ideal if you need simple, static image edits that don't require showing a transition or if you lack the high-end computing resources (e.g., 34GB+ GPU memory) needed for inference.
Stars
679
Forks
41
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 20, 2025
Commits (30d)
0
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