ATISS
Code for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021
Create indoor scene layouts and synthesize realistic environments with AI.
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 anytimeCode for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021
ATISS has 339 stars on GitHub. It has been forked 64 times. ATISS is written mainly in Python. It has been in active development since 2021. Its main topics are autoregressive-models, generative-ai, layout-generation, scene-synthesis.
What is ATISS?
Code for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021
Is ATISS open source?
ATISS is an open-source project.
Is ATISS free?
Yes. ATISS is free and open source — you can use, modify and self-host it.
What language is ATISS written in?
ATISS is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/nv-tlabs-atiss.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.