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As a fundamental backbone for video generation, diffusion models are challenged by low inference speed due to the sequential nature of denoising.
Cache memories
Alan Jay Smith · 1982
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Using cache memory to reduce processor-memory traffic
James R Goodman · 1983
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Selective cache ways: On-demand cache resource allocation
David H Albonesi · 1999
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Attention is all you need
A Vaswani · 2017
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Deepcache: Principled cache for mobile deep vision
Mengwei Xu, Mengze Zhu, Yunxin Liu, Felix Xiaozhu Lin, and Xuanzhe Liu · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Generative modeling by estimating gradients of the data distribution
Yang Song and Stefano Ermon · 2019
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
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Gotta go fast when generating data with score-based models
Alexia Jolicoeur-Martineau, Ke Li, Rémi Piché-Taillefer, Tal Kachman, and Ioannis Mitliagkas · 2021
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Flashattention: Fast and memory-efficient exact attention with io-awareness
Tri Dao, Dan Fu, Stefano Ermon, Atri Rudra, and Christopher Ré · 2022
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Video diffusion models
Jonathan Ho, Tim Salimans, Alexey Gritsenko, William Chan, Mohammad Norouzi, and David J Fleet · 2022
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Elucidating the design space of diffusion-based generative models
Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine · 2022
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Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, et al · 2022
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Progressive distillation for fast sampling of diffusion models
Tim Salimans and Jonathan Ho · 2022
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Stable video diffusion: Scaling latent video diffusion models to large datasets
Vbench: Comprehensive benchmark suite for video generative models
Ziqi Huang, Yinan He, Jiashuo Yu, Fan Zhang, Chenyang Si, Yuming Jiang, Yuanhan Zhang, Tianxing Wu, Qingyang Jin, Nattapol Chanpaisit, et al · 2024
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Adaptive caching for faster video generation with diffusion transformers
Kumara Kahatapitiya, Haozhe Liu, Sen He, Ding Liu, Menglin Jia, Chenyang Zhang, Michael S Ryoo, and Tian Xie · 2024
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PKU-Yuan Lab and Tuzhan AI etc · 2024
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Fastercache: Training-free video diffusion model acceleration with high quality
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OpenAI · 2024
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Andreas Blattmann, Tim Dockhorn, Sumith Kulal, Daniel Mendelevitch, Maciej Kilian, Dominik Lorenz, Yam Levi, Zion English, Vikram Voleti, Adam Letts, et al · 2023
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Token merging for fast stable diffusion
Daniel Bolya and Judy Hoffman · 2023
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Faster diffusion: Rethinking the role of unet encoder in diffusion models
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On distillation of guided diffusion models
Chenlin Meng, Robin Rombach, Ruiqi Gao, Diederik Kingma, Stefano Ermon, Jonathan Ho, and Tim Salimans · 2023
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Scalable diffusion models with transformers
William Peebles and Saining Xie · 2023
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Adversarial diffusion distillation
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Post-training quantization on diffusion models
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Frdiff: Feature reuse for universal training-free acceleration of diffusion models
Junhyuk So, Jungwon Lee, and Eunhyeok Park · 2023
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Parallel sampling of diffusion models
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Temporal dynamic quantization for diffusion models
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Attention-driven training-free efficiency enhancement of diffusion models
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Cache me if you can: Accelerating diffusion models through block caching
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Cogvideox: Text-to-video diffusion models with an expert transformer
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Cross-attention makes inference cumbersome in text-to-image diffusion models
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Real-time video generation with pyramid attention broadcast
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Open-sora: Democratizing efficient video production for all, 2024
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