GLIGEN: Open-Set Grounded Text-to-Image Generation-Reference-Cited by-同舟云学术

GLIGEN: Open-Set Grounded Text-to-Image Generation

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

Li Yuheng¹,Liu Haotian¹,Wu Qingyang²,Mu Fangzhou¹,Yang Jianwei³,Gao Jianfeng³,Li Chunyuan³,Lee Yong Jae¹

Affiliation:

1. University of Wisconsin-Madison

2. Columbia University

3. Microsoft

Funder

NSF CAREER

NASA

Institute of Information & communications Technology Planning & Evaluation(IITP)

Publisher

IEEE

Link

Reference76 articles.

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3. Masked autoencoders are scalable vision learners;he;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,2022

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3. GazeFusion: Saliency-guided Image Generation;ACM Transactions on Applied Perception;2024-09-06

4. GRPIC: an end-to-end image captioning model using three visual features;International Journal of Machine Learning and Cybernetics;2024-09-04