ODISE
Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
Perform segmentation of images based on text descriptions using a model that understands various categories.
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Free · no card · unsubscribe anytimeOfficial PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
ODISE has 945 stars on GitHub. It has been forked 59 times. ODISE is written mainly in Python. It has been in active development since 2023. Its main topics are deep-learning, diffusion-models, instance-segmentation, open-vocabulary.
What is ODISE?
Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
Is ODISE open source?
ODISE is an open-source project.
Is ODISE free?
Yes. ODISE is free and open source — you can use, modify and self-host it.
What language is ODISE written in?
ODISE is written mainly in Python.
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