Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models-Reference-Cited by-同舟云学术

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

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Xu Jiarui¹,Liu Sifei²,Vahdat Arash²,Byeon Wonmin²,Wang Xiaolong¹,De Mello Shalini²

Affiliation:

1. UC San Diego

2. NVIDIA

Funder

NSF

Publisher

IEEE

Link

Reference91 articles.

1. Diffusion models beat gans on image synthesis;dhariwal;Advances in neural information processing systems,2021

2. Learning transferable visual models from natural language supervision;radford;International Conference on Machine Learning,0

4. Beit v2: Masked image modeling with vector-quantized visual tokenizers;peng;ArXiv Preprint,2022

5. Open-vocabulary panoptic segmentation with maskclip;ding;ArXiv Preprint,2022

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2. Review on Panoptic Segmentation of Images with Text-to-Image and Image-to-Image Diffusion Models;International Journal of Advanced Research in Science, Communication and Technology;2024-02-06