Semantic Communications for Artificial Intelligence Generated Content (AIGC) Toward Effective Content Creation

A. Horé and D. Ziou, “Image quality metrics: Psnr vs. ssim,” in 2010 20th International Conference on Pattern Recognition , 2010, pp. 2366–2369

2010

Earlier work this paper cites.

S. Xie and Z. Tu, “Holistically-nested edge detection,” CoRR , vol. abs/1504.06375, 2015. [Online]. Available: http://arxiv.org/abs/1504.06375

Original

2015

Earlier work this paper cites.

S. Verma, Y. Kawamoto, and N. Kato, “Energy-efficient group paging mechanism for qos constrained mobile iot devices over lte-a pro networks under 5g,” IEEE Internet of Things Journal , vol. 6, no. 5, pp. 9187–9199, 2019

2019

Earlier work this paper cites.

A. Ramesh, M. Pavlov, G. Goh, S. Gray, C. Voss, A. Radford, M. Chen, and I. Sutskever, “Zero-shot text-to-image generation,” in Proceedings of the 38th International Conference on Machine Learning , ser. Proceedings of Machine Learning Research, M. Meila and T. Zhang, Eds., vol. 139. PMLR, 18–24 Jul 2021, pp. 8821–8831. [Online]. Available: https://proceedings.mlr.press/v139/ramesh21a.html

2021

Earlier work this paper cites.

S. Fuster, T. Eftestøl, and K. Engan, “Nested multiple instance learning with attention mechanisms,” CoRR , vol. abs/2111.00947, 2021. [Online]. Available: https://arxiv.org/abs/2111.00947

Original

2021

Earlier work this paper cites.

Y. Benny, T. Galanti, S. Benaim, and L. Wolf, “Evaluation metrics for conditional image generation,” International Journal of Computer Vision , vol. 129, pp. 1712–1731, 2021

2021

Cited alongside, same era.

E. J. Hu, Y. Shen, P. Wallis, Z. Allen-Zhu, Y. Li, S. Wang, L. Wang, and W. Chen, “Lora: Low-rank adaptation of large language models,” arXiv preprint arXiv:2106.09685 , 2021

Original

2021

Cited alongside, same era.

W. Yang, Z. Q. Liew, W. Y. B. Lim, Z. Xiong, D. Niyato, X. Chi, X. Cao, and K. B. Letaief, “Semantic communication meets edge intelligence,” IEEE Wireless Communications , vol. 29, no. 5, pp. 28–35, 2022

2022

Cited alongside, same era.

L. Yan, Z. Qin, R. Zhang, Y. Li, and G. Ye Li, “Qoe-aware resource allocation for semantic communication networks,” in GLOBECOM 2022 - 2022 IEEE Global Communications Conference , 2022, pp. 3272–3277

2022

Cited alongside, same era.

H. Du, Z. Li, D. Niyato, J. Kang, Z. Xiong, D. I. Kim et al. , “Enabling ai-generated content (aigc) services in wireless edge networks,” arXiv preprint arXiv:2301.03220 , 2023

Original

2023

Closest in time.

Y. Lin, Z. Gao, H. Du, D. Niyato, J. Kang, A. Jamalipour, and X. Shen, “A unified framework for integrating semantic communication and ai-generated content in metaverse,” arXiv preprint arXiv:2305.11911 , 2023

Original

2023

Closest in time.

C. Zhou, Q. Li, C. Li, J. Yu, Y. Liu, G. Wang, K. Zhang, C. Ji, Q. Yan, L. He et al. , “A comprehensive survey on pretrained foundation models: A history from bert to chatgpt,” arXiv preprint arXiv:2302.09419 , 2023

Original

2023

Closest in time.

L. Zhang, A. Rao, and M. Agrawala, “Adding conditional control to text-to-image diffusion models,” in Proceedings of the IEEE/CVF International Conference on Computer Vision , 2023, pp. 3836–3847

2023

Closest in time.