MonoScene
[CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image
Predict 3D scene layouts from a single image using the MonoScene tool for computer vision projects.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytime[CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image
MonoScene has 815 stars on GitHub. It has been forked 78 times. MonoScene is written mainly in Python. It has been in active development since 2021. MonoScene is available under the Apache-2.0 license. Its main topics are 2d-to-3d, computer-vision, cvpr2022, cvpr22.
What is MonoScene?
[CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image
Is MonoScene open source?
MonoScene is an open-source project. It is released under the Apache-2.0 license.
Is MonoScene free?
Yes. MonoScene is free and open source — you can use, modify and self-host it.
What license does MonoScene use?
MonoScene is available under the Apache-2.0 license.
What language is MonoScene written in?
MonoScene is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/astra-vision-monoscene.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.