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Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models

Computer Science

Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models

J. Xu, S. Liu, et al.

Discover ODISE, an innovative open-vocabulary panoptic segmentation model that outperforms previous benchmarks in both panoptic and semantic segmentation tasks. This exciting research, conducted by Jiarui Xu, Sifei Liu, Arash Vahdat, Wonmin Byeon, Xiaolong Wang, and Shalini De Mello, showcases the potential of text-to-image diffusion models in enhancing semantic representations for diverse categories.

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