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Generative foundation models have advanced large-scale text-driven natural image generation, becoming a prominent research trend across various vertical domains.
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2021
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2022
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2023
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Cited alongside, same era.
R. Rombach, A. Blattmann, D. Lorenz, P. Esser, and B. Ommer, “High-resolution image synthesis with latent diffusion models,” in Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , 2022, pp. 10 684–10 695
2022
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Q. Cheng, H. Huang, Y. Xu, Y. Zhou, H. Li, and Z. Wang, “Nwpu-captions dataset and mlca-net for remote sensing image captioning,” IEEE Transactions on Geoscience and Remote Sensing , vol. 60, pp. 1–19, 2022
2022
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C. Liu, R. Zhao, H. Chen, Z. Zou, and Z. Shi, “Remote sensing image change captioning with dual-branch transformers: A new method and a large scale dataset,” IEEE Transactions on Geoscience and Remote Sensing , vol. 60, pp. 1–20, 2022
2022
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M. Tao, H. Tang, F. Wu, X.-Y. Jing, B.-K. Bao, and C. Xu, “Df-gan: A simple and effective baseline for text-to-image synthesis,” in Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , 2022, pp. 16 515–16 525
2022
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Y. Zhou, R. Zhang, C. Chen, C. Li, C. Tensmeyer, T. Yu, J. Gu, J. Xu, and T. Sun, “Towards language-free training for text-to-image generation,” in Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , 2022, pp. 17 907–17 917
2022
Cited alongside, same era.
2022
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2022
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2022
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Later among the works it cites.
Y. Wang, N. A. A. Braham, Z. Xiong, C. Liu, C. M. Albrecht, and X. X. Zhu, “Ssl4eo-s12: A large-scale multimodal, multitemporal dataset for self-supervised learning in earth observation [software and data sets],” IEEE Geoscience and Remote Sensing Magazine , vol. 11, no. 3, pp. 98–106, 2023
2023
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2023
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X. Li, C. Wen, Y. Hu, Z. Yuan, and X. X. Zhu, “Vision-language models in remote sensing: Current progress and future trends,” IEEE Geoscience and Remote Sensing Magazine , 2024
2024
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2024
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2024
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2024
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2024
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2024
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D. Tuia, K. Schindler, B. Demir, X. X. Zhu, M. Kochupillai, S. Džeroski, J. N. van Rijn, H. H. Hoos, F. Del Frate, M. Datcu, V. Markl, B. Le Saux, R. Schneider, and G. Camps-Valls, “Artificial intelligence to advance earth observation: A review of models, recent trends, and pathways forward,” IEEE Geoscience and Remote Sensing Magazine , pp. 2–25, 2024
2024
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K. Chen, C. Liu, H. Chen, H. Zhang, W. Li, Z. Zou, and Z. Shi, “Rsprompter: Learning to prompt for remote sensing instance segmentation based on visual foundation model,” IEEE Transactions on Geoscience and Remote Sensing , 2024
2024
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C. Liu, K. Chen, H. Zhang, Z. Qi, Z. Zou, and Z. Shi, “Change-agent: Toward interactive comprehensive remote sensing change interpretation and analysis,” IEEE Transactions on Geoscience and Remote Sensing , vol. 62, pp. 1–16, 2024
2024
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Z. Zhang, T. Zhao, Y. Guo, and J. Yin, “Rs5m and georsclip: A large scale vision-language dataset and a large vision-language model for remote sensing,” IEEE Transactions on Geoscience and Remote Sensing , 2024
2024
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Y. Xu, Y. Zhao, Z. Xiao, and T. Hou, “Ufogen: You forward once large scale text-to-image generation via diffusion gans,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2024, pp. 8196–8206
2024
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2024
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C. Liu, K. Chen, B. Chen, H. Zhang, Z. Zou, and Z. Shi, “Rscama: Remote sensing image change captioning with state space model,” IEEE Geoscience and Remote Sensing Letters , 2024
2024
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2024
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2024
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B. Chen, L. Liu, C. Liu, Z. Zou, and Z. Shi, “Spectral-cascaded diffusion model for remote sensing image spectral super-resolution,” IEEE Transactions on Geoscience and Remote Sensing , vol. 62, pp. 1–14, 2024
2024
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X. Pan, P. Qin, Y. Li, H. Xue, and W. Chen, “Synthesizing coherent story with auto-regressive latent diffusion models,” in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , 2024, pp. 2920–2930
2024
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Y. Shi, C. Xue, J. H. Liew, J. Pan, H. Yan, W. Zhang, V. Y. Tan, and S. Bai, “Dragdiffusion: Harnessing diffusion models for interactive point-based image editing,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2024, pp. 8839–8849
2024
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D. Tang, X. Cao, X. Hou, Z. Jiang, J. Liu, and D. Meng, “Crs-diff: Controllable remote sensing image generation with diffusion model,” IEEE Transactions on Geoscience and Remote Sensing , vol. 62, pp. 1–14, 2024
2024
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A. Sebaq and M. ElHelw, “Rsdiff: Remote sensing image generation from text using diffusion model,” Neural Computing and Applications , pp. 1–9, 2024
2024
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Z. Wang, R. Prabha, T. Huang, J. Wu, and R. Rajagopal, “Skyscript: A large and semantically diverse vision-language dataset for remote sensing,” in Proceedings of the AAAI Conference on Artificial Intelligence , vol. 38, no. 6, 2024, pp. 5805–5813
2024
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F. Liu, D. Chen, Z. Guan, X. Zhou, J. Zhu, Q. Ye, L. Fu, and J. Zhou, “Remoteclip: A vision language foundation model for remote sensing,” IEEE Transactions on Geoscience and Remote Sensing , 2024
2024
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Z. Yu, C. Liu, L. Liu, Z. Shi, and Z. Zou, “Metaearth: A generative foundation model for global-scale remote sensing image generation,” IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 47, no. 3, pp. 1764–1781, 2025
2025
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