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The emergence of diffusion models has greatly broadened the scope of high-fidelity image synthesis, resulting in notable advancements in both practical implementation and academic research.
Tensorflow lite: Machine learning for mobile and edge devices
Google · 2017
Earlier work this paper cites.
Denoising diffusion probabilistic models, 2020
Ho, J., Jain, A., and Abbeel, P · 2020
Earlier work this paper cites.
Brecq: Pushing the limit of post-training quantization by block reconstruction
Li, Y., Gong, R., Tan, X., Yang, Y., Hu, P., Zhang, Q., Yu, F., Wang, W., and Gu, S · 2021
Earlier work this paper cites.
Denoising diffusion implicit models
Song, J., Meng, C., and Ermon, S · 2021
Earlier work this paper cites.
Blended diffusion for text-driven editing of natural images
Avrahami, O., Lischinski, D., and Fried, O · 2022
Earlier work this paper cites.
Classifier-free diffusion guidance
Ho, J. and Salimans, T · 2022
Earlier work this paper cites.
Srdiff: Single image super-resolution with diffusion probabilistic models
Li, H., Yang, Y., Chang, M., Chen, S., Feng, H., Xu, Z., Li, Q., and Chen, Y · 2022
Earlier work this paper cites.
Repaint: Inpainting using denoising diffusion probabilistic models
Lugmayr, A., Danelljan, M., Romero, A., Yu, F., Timofte, R., and Van Gool, L · 2022
Earlier work this paper cites.
Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Nichol, A. Q., Dhariwal, P., Ramesh, A., Shyam, P., Mishkin, P., Mcgrew, B., Sutskever, I., and Chen, M · 2022
Cited alongside, same era.
Stable diffusion with core ml on apple silicon, 2022
Orhon, A., Siracusa, M., and Wadhwa, A · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Rombach, R., Blattmann, A., Lorenz, D., Esser, P., and Ommer, B · 2022
Cited alongside, same era.
Photorealistic text-to-image diffusion models with deep language understanding
Saharia, C., Chan, W., Saxena, S., Li, L., Whang, J., Denton, E. L., Ghasemipour, K., Gontijo Lopes, R., Karagol Ayan, B., Salimans, T., et al · 2022
Cited alongside, same era.
Progressive distillation for fast sampling of diffusion models
Salimans, T. and Ho, J · 2022
Cited alongside, same era.
Qdrop: Randomly dropping quantization for extremely low-bit post-training quantization
Implicit diffusion models for continuous super-resolution
Gao, S., Liu, X., Zeng, B., Xu, S., Li, Y., Luo, X., Liu, J., Zhen, X., and Zhang, B · 2023
Closest in time.
World’s first on-device demonstration of stable diffusion on an android phone
Hou, J. and Asghar, Z · 2023
Closest in time.
Audioldm: Text-to-audio generation with latent diffusion models
Liu, H., Chen, Z., Yuan, Y., Mei, X., Liu, X., Mandic, D., Wang, W., and Plumbley, M. D · 2023
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Videofusion: Decomposed diffusion models for high-quality video generation
Luo, Z., Chen, D., Zhang, Y., Huang, Y., Wang, L., Shen, Y., Zhao, D., Zhou, J., and Tan, T · 2023
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On distillation of guided diffusion models
Meng, C., Rombach, R., Gao, R., Kingma, D., Ermon, S., Ho, J., and Salimans, T · 2023
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Wei, X., Gong, R., Li, Y., Liu, X., and Yu, F · 2022
Cited alongside, same era.
Align your latents: High-resolution video synthesis with latent diffusion models
Blattmann, A., Rombach, R., Ling, H., Dockhorn, T., Kim, S. W., Fidler, S., and Kreis, K · 2023
Cited alongside, same era.
Speed is all you need: On-device acceleration of large diffusion models via gpu-aware optimizations
Chen, Y.-H., Sarokin, R., Lee, J., Tang, J., Chang, C.-L., Kulik, A., and Grundmann, M · 2023
Cited alongside, same era.
Sahak, H., Watson, D., Saharia, C., and Fleet, D · 2023
Closest in time.
Diffsound: Discrete diffusion model for text-to-sound generation
Yang, D., Yu, J., Wang, H., Wang, W., Weng, C., Zou, Y., and Yu, D · 2023
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