Home Projects ReCamMaster
ReCamMaster
Python

ReCamMaster

[ICCV'25 Best Paper Finalist] ReCamMaster: Camera-Controlled Generative Rendering from A Single Video

by KlingAIResearch · GitHub
Stars
Forks
License
Created
Last commit
Category
Language
4daigccamera-controlMITPython
View on GitHub
In plain words

Use a tool to generate videos from a single video input, with customizable camera controls.

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 →
ReCamMaster — GitHub preview card
📈 Star history
1 8321 831
2026-07-202026-08-31
📈 Track ReCamMaster

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

[ICCV'25 Best Paper Finalist] ReCamMaster: Camera-Controlled Generative Rendering from A Single Video

ReCamMaster has 1.8k stars on GitHub. It has been forked 94 times. ReCamMaster is written mainly in Python. It has been in active development since 2025. ReCamMaster is available under the MIT license. Its main topics are 4d, aigc, camera-control, computer-vision.

Frequently asked questions

What is ReCamMaster?

[ICCV'25 Best Paper Finalist] ReCamMaster: Camera-Controlled Generative Rendering from A Single Video

Is ReCamMaster open source?

ReCamMaster is an open-source project. It is released under the MIT license.

Is ReCamMaster free?

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

What license does ReCamMaster use?

ReCamMaster is available under the MIT license.

What language is ReCamMaster written in?

ReCamMaster is written mainly in Python.

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

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

[![olud.ai](https://olud.ai/badge.php?tool=klingairesearch-recammaster)](https://olud.ai/project/klingairesearch-recammaster.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.