Shypd.aiThe largest open index of AI toolsODISE is an open-source PyTorch implementation for open-vocabulary panoptic segmentation, leveraging text-to-image diffusion models. It performs segmentation of any category using pre-trained text-image diffusion and discriminative models.
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ODISE (Open-vocabulary Diffusion-based panoptic Segmentation) is an official PyTorch implementation that enables open-vocabulary panoptic segmentation. This tool utilizes pre-trained text-image diffusion and discriminative models to perform segmentation of virtually any category in diverse images. It is particularly noted for its ability to leverage frozen representations from these models, making it a powerful research tool in computer vision. Featured as a CVPR 2023 Highlight, ODISE provides pre-trained models and detailed instructions for environment setup, training, and inference. It also offers a HuggingFace demo and Google Colab integration for easy experimentation.
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