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High computational overhead is a troublesome problem for diffusion models.
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Choquette, J., Gandhi, W., Giroux, O., Stam, N., Krashinsky, R.: Nvidia a100 tensor core gpu: Performance and innovation. IEEE Micro 41
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Hessel, J., Holtzman, A., Forbes, M., Le Bras, R., Choi, Y.: Clipscore: A reference-free evaluation metric for image captioning. In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. pp. 7514–7528 (2021)
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2023
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Koryakovskiy, I., Yakovleva, A., Buchnev, V., Isaev, T., Odinokikh, G.: One-shot model for mixed-precision quantization. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 7939–7949 (2023)
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2022
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https://www.qualcomm.com/products/mobile/snapdragon/smartphones/snapdragon-8-series-mobile-platforms/snapdragon-8-gen-2-mobile-platform
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Ruiz, N., Li, Y., Jampani, V., Pritch, Y., Rubinstein, M., Aberman, K.: Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 22500–22510 (2023)
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