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Diffusion Transformers (DiT) have revolutionized high-fidelity image and video synthesis, yet their computational demands remain prohibitive for real-time applications.
Image quality assessment: From error visibility to structural similarity
Zhou Wang, A.C. Bovik, H.R. Sheikh, and E.P. Simoncelli · 2004
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Denoising Diffusion Probabilistic Models, 2020a
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2006
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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ImageNet Large Scale Visual Recognition Challenge, 2015
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei · 2015
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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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GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium, 2018
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2018
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The Unreasonable Effectiveness of Deep Features as a Perceptual Metric, 2018
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, and Oliver Wang · 2018
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2021
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Flashattention: Fast and memory-efficient exact attention with io-awareness
Tri Dao, Daniel Y. Fu, Stefano Ermon, Atri Rudra, and Christopher R’e · 2022
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CLIPScore: A Reference-free Evaluation Metric for Image Captioning, 2022
Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, and Yejin Choi · 2022
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On distillation of guided diffusion models
Chenlin Meng, Ruiqi Gao, Diederik P Kingma, Stefano Ermon, Jonathan Ho, and Tim Salimans · 2022
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High-Resolution Image Synthesis with Latent Diffusion Models, 2022
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 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
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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Structural pruning for diffusion models
Gongfan Fang, Xinyin Ma, and Xinchao Wang · 2023
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VBench: Comprehensive Benchmark Suite for Video Generative Models, 2023
Ziqi Huang, Yinan He, Jiashuo Yu, Fan Zhang, Chenyang Si, Yuming Jiang, Yuanhan Zhang, Tianxing Wu, Qingyang Jin, Nattapol Chanpaisit, Yaohui Wang, Xinyuan Chen, Limin Wang, Dahua Lin, Yu Qiao, and Ziwei Liu · 2023
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Q-diffusion: Quantizing diffusion models
Xiuyu Li, Yijiang Liu, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, and Kurt Keutzer · 2023
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Flow straight and fast: Learning to generate and transfer data with rectified flow
Xingchao Liu, Chengyue Gong, et al · 2023
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Post-training quantization on diffusion models
Yuzhang Shang, Zhihang Yuan, Bin Xie, Bingzhe Wu, and Yan Yan · 2023
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Consistency models
Yang Song, Prafulla Dhariwal, Mark Chen, and Ilya Sutskever · 2023
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Real-time video generation with pyramid attention broadcast
Xuanlei Zhao, Xiaolong Jin, Kai Wang, and Yang You · 2024
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Open-sora: Democratizing efficient video production for all, 2024
Zangwei Zheng, Xiangyu Peng, Tianji Yang, Chenhui Shen, Shenggui Li, Hongxin Liu, Yukun Zhou, Tianyi Li, and Yang You · 2024
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Dip-go: A diffusion pruner via few-step gradient optimization, 2024
Haowei Zhu, Dehua Tang, Ji Liu, Mingjie Lu, Jintu Zheng, Jinzhang Peng, Dong Li, Yu Wang, Fan Jiang, Lu Tian, Spandan Tiwari, Ashish Sirasao, Jun-Hai Yong, Bin Wang, and Emad Barsoum · 2024
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Accelerating diffusion transformers with dual feature caching, 2024
Chang Zou, Evelyn Zhang, Runlin Guo, Haohang Xu, Conghui He, Xuming Hu, and Linfeng Zhang · 2024
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Cat pruning: Cluster-aware token pruning for text-to-image diffusion models, 2025
Xinle Cheng, Zhuoming Chen, and Zhihao Jia · 2025
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Jiazheng Xu, Xiao Liu, Yuchen Wu, Yuxuan Tong, Qinkai Li, Ming Ding, Jie Tang, and Yuxiao Dong · 2023
Cited alongside, same era.
DPM-solver-v3: Improved diffusion ODE solver with empirical model statistics
Kaiwen Zheng, Cheng Lu, Jianfei Chen, and Jun Zhu · 2023
Cited alongside, same era.
Adaptive Caching for Faster Video Generation with Diffusion Transformers, 2024
Kumara Kahatapitiya, Haozhe Liu, Sen He, Ding Liu, Menglin Jia, Chenyang Zhang, Michael S. Ryoo, and Tian Xie · 2024
Cited alongside, same era.
Token fusion: Bridging the gap between token pruning and token merging
Minchul Kim, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, and Hongxia Jin · 2024
Cited alongside, same era.
Snapfusion: Text-to-image diffusion model on mobile devices within two seconds
Yanyu Li, Huan Wang, Qing Jin, Ju Hu, Pavlo Chemerys, Yun Fu, Yanzhi Wang, Sergey Tulyakov, and Jian Ren · 2024
Cited alongside, same era.
Timestep embedding tells: It’s time to cache for video diffusion model, 2024
Feng Liu, Shiwei Zhang, Xiaofeng Wang, Yujie Wei, Haonan Qiu, Yuzhong Zhao, Yingya Zhang, Qixiang Ye, and Fang Wan · 2024
Cited alongside, same era.
Deepcache: Accelerating diffusion models for free
Xinyin Ma, Gongfan Fang, and Xinchao Wang · 2024
Cited alongside, same era.
Ditto: Accelerating diffusion model via temporal value similarity
Sungbin Kim, Hyunwuk Lee, Wonho Cho, Mincheol Park, and Won Woo Ro · 2025
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FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality, 2025
Zhengyao Lv, Chenyang Si, Junhao Song, Zhenyu Yang, Yu Qiao, Ziwei Liu, and Kwan-Yee K. Wong · 2025
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Accelerating diffusion transformer via error-optimized cache, 2025
Junxiang Qiu, Shuo Wang, Jinda Lu, Lin Liu, Houcheng Jiang, and Yanbin Hao · 2025
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Cached adaptive token merging: Dynamic token reduction and redundant computation elimination in diffusion model, 2025
Omid Saghatchian, Atiyeh Gh. Moghadam, and Ahmad Nickabadi · 2025
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Unicp: A unified caching and pruning framework for efficient video generation, 2025
Wenzhang Sun, Qirui Hou, Donglin Di, Jiahui Yang, Yongjia Ma, and Jianxun Cui · 2025
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EEdit : Rethinking the Spatial and Temporal Redundancy for Efficient Image Editing, 2025
Zexuan Yan, Yue Ma, Chang Zou, Wenteng Chen, Qifeng Chen, and Linfeng Zhang · 2025
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Cogvideox: Text-to-video diffusion models with an expert transformer
Zhuoyi Yang, Jiayan Teng, Wendi Zheng, Ming Ding, Shiyu Huang, Jiazheng Xu, Yuanming Yang, Wenyi Hong, Xiaohan Zhang, Guanyu Feng, Da Yin, Xiaotao Gu, Yuxuan.Zhang, Weihan Wang, Yean Cheng, Bin Xu, Yuxiao Dong, and Jie Tang · 2025
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Training-free and hardware-friendly acceleration for diffusion models via similarity-based token pruning
Evelyn Zhang, Jiayi Tang, Xuefei Ning, and Linfeng Zhang · 2025
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Compute only 16 tokens in one timestep: Accelerating Diffusion Transformers with Cluster-Driven Feature Caching
Zhixin Zheng, Xinyu Wang, Chang Zou, Shaobo Wang, and Linfeng Zhang · 2025
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Accelerating diffusion transformers with token-wise feature caching
Chang Zou, Xuyang Liu, Ting Liu, Siteng Huang, and Linfeng Zhang · 2025
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