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Diffusion models have achieved significant visual generation quality.
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Dong, Z., Yao, Z., Gholami, A., Mahoney, M.W., Keutzer, K.: Hawq: Hessian aware quantization of neural networks with mixed-precision. 2019 IEEE/CVF International Conference on Computer Vision (ICCV) pp. 293–302 (2019), https://api.semanticscholar.org/CorpusID:148571720
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Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. Advances in Neural Information Processing Systems 33
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2021
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Meng, C., He, Y., Song, Y., Song, J., Wu, J., Zhu, J.Y., Ermon, S.: Sdedit: Guided image synthesis and editing with stochastic differential equations. In: International Conference on Learning Representations (2021), https://api.semanticscholar.org/CorpusID:245704504
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Radford, A., Kim, J.W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.: Learning transferable visual models from natural language supervision. In: International conference on machine learning. pp. 8748–8763. PMLR (2021)
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Ramesh, A., Pavlov, M., Goh, G., Gray, S., Voss, C., Radford, A., Chen, M., Sutskever, I.: Zero-shot text-to-image generation. In: ICML. pp. 8821–8831. PMLR (2021)
2021
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2022
Cited alongside, same era.
2022
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Rombach, R., Blattmann, A., Lorenz, D., Esser, P., Ommer, B.: High-resolution image synthesis with latent diffusion models. In: CVPR. pp. 10684–10695 (2022)
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2023
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2023
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Song, Y., Dhariwal, P., Chen, M., Sutskever, I.: Consistency models. In: International Conference on Machine Learning (2023), https://api.semanticscholar.org/CorpusID:257280191
2023
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2022
Cited alongside, same era.
2023
Cited alongside, same era.
Chen, Y.H., Sarokin, R., Lee, J., Tang, J., Chang, C.L., Kulik, A., Grundmann, M.: Speed is all you need: On-device acceleration of large diffusion models via gpu-aware optimizations. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) pp. 4651–4655 (2023), https://api.semanticscholar.org/CorpusID:258298971
2023
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2023
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2023
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2023
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Li, S., Ning, X., Hong, K., Liu, T., Wang, L., Li, X., Zhong, K., Dai, G., Yang, H., Wang, Y.: LLM-MQ: Mixed-precision Quantization for Efficient LLM Deployment. In: NeurIPS 2023 Efficient Natural Language and Speech Processing Workshop (2023)
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Li, X., Lian, L., Liu, Y., Yang, H., Dong, Z., Kang, D., Zhang, S., Keutzer, K.: Q-diffusion: Quantizing diffusion models. ICCV (2023)
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2023
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2023
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2024
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