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Recent progress in visual generative models enables the generation of high-quality images.
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2024
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Jia, X., Chen, Y., Mao, X., Duan, R., Gu, J., Zhang, R., Xue, H., Liu, Y., Cao, X.: Revisiting and exploring efficient fast adversarial training via law: Lipschitz regularization and auto weight averaging. IEEE Transactions on Information Forensics and Security (2024)
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Li, H., Shen, C., Torr, P., Tresp, V., Gu, J.: Self-discovering interpretable diffusion latent directions for responsible text-to-image generation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 12006–12016 (2024)
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