Ditto: Accelerating Diffusion Model via Temporal Value Similarity

20 January 2025

Papers citing "Ditto: Accelerating Diffusion Model via Temporal Value Similarity"

50 / 56 papers shown

Title
From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers Jiacheng Liu Chang Zou Yuanhuiyi Lyu Junjie Chen Linfeng Zhang DiffM 112 3 0 10 Mar 2025
Open-Sora: Democratizing Efficient Video Production for All Zangwei Zheng Xiangyu Peng Tianji Yang Chenhui Shen Shenggui Li Hongxin Liu Yukun Zhou Tianyi Li Yang You VGen 110 236 0 31 Dec 2024
Latte: Latent Diffusion Transformer for Video Generation Xin Ma Yaohui Wang Gengyun Jia Xinyuan Chen Ziqiang Liu Yuan-Fang Li Cunjian Chen Yu Qiao DiffM VGen 185 266 0 05 Jan 2024
Generative AI Beyond LLMs: System Implications of Multi-Modal Generation Alicia Golden Samuel Hsia Fei Sun Bilge Acun Basil Hosmer ... Zachary DeVito Jeff Johnson Gu-Yeon Wei David Brooks Carole-Jean Wu VLM DiffM 59 8 0 22 Dec 2023
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models Yushi Huang Ruihao Gong Jing Liu Tianlong Chen Xianglong Liu DiffM MQ 55 40 0 27 Nov 2023
Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads Hongxiang Fan Stylianos I. Venieris Alexandros Kouris Nicholas D. Lane 46 8 0 17 Oct 2023
Temporal Dynamic Quantization for Diffusion Models Junhyuk So Jungwon Lee Daehyun Ahn Hyungjun Kim Eunhyeok Park DiffM MQ 46 64 0 04 Jun 2023
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 Jian Ren VLM 55 161 0 01 Jun 2023
PTQD: Accurate Post-Training Quantization for Diffusion Models Yefei He Luping Liu Jing Liu Weijia Wu Hong Zhou Bohan Zhuang DiffM MQ 57 109 0 18 May 2023
TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings N. Jouppi George Kurian Sheng Li Peter C. Ma R. Nagarajan ... Brian Towles C. Young Xiaoping Zhou Zongwei Zhou David A. Patterson BDL VLM 106 355 0 04 Apr 2023
Adding Conditional Control to Text-to-Image Diffusion Models Lvmin Zhang Anyi Rao Maneesh Agrawala AI4CE 97 4,074 1 10 Feb 2023
Q-Diffusion: Quantizing Diffusion Models Xiuyu Li Yijia Liu Long Lian Hua Yang Zhen Dong Daniel Kang Shanghang Zhang Kurt Keutzer DiffM MQ 70 170 0 08 Feb 2023
Scalable Diffusion Models with Transformers William S. Peebles Saining Xie GNN 75 2,275 0 19 Dec 2022
Post-training Quantization on Diffusion Models Yuzhang Shang Zhihang Yuan Bin Xie Bingzhe Wu Yan Yan DiffM MQ 89 175 0 28 Nov 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 235 1,205 0 10 Sep 2022
A Survey on Generative Diffusion Model Hanqun Cao Cheng Tan Zhangyang Gao Yilun Xu Guangyong Chen Pheng-Ann Heng Stan Z. Li MedIm 78 217 0 06 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 307 1,374 0 02 Sep 2022
MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model Mingyuan Zhang Zhongang Cai Liang Pan Fangzhou Hong Xinying Guo Lei Yang Ziwei Liu DiffM VGen 84 564 0 31 Aug 2022
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization Cong Guo Chen Zhang Jingwen Leng Zihan Liu Fan Yang Yun-Bo Liu Minyi Guo Yuhao Zhu MQ 39 59 0 30 Aug 2022
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation Nataniel Ruiz Yuanzhen Li Varun Jampani Yael Pritch Michael Rubinstein Kfir Aberman 229 2,832 0 25 Aug 2022
Flexible Diffusion Modeling of Long Videos William Harvey Saeid Naderiparizi Vaden Masrani Christian D. Weilbach Frank Wood DiffM BDL VGen 211 295 0 23 May 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Chitwan Saharia William Chan Saurabh Saxena Lala Li Jay Whang ... Raphael Gontijo-Lopes Tim Salimans Jonathan Ho David J Fleet Mohammad Norouzi VLM 321 5,978 0 23 May 2022
Mokey: Enabling Narrow Fixed-Point Inference for Out-of-the-Box Floating-Point Transformer Models Ali Hadi Zadeh Mostafa Mahmoud Ameer Abdelhadi Andreas Moshovos MQ 38 33 0 23 Mar 2022
Pseudo Numerical Methods for Diffusion Models on Manifolds Luping Liu Yi Ren Zhijie Lin Zhou Zhao DiffM 90 643 0 20 Feb 2022
Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders Huangjie Zheng Pengcheng He Weizhu Chen Mingyuan Zhou DiffM 51 46 0 19 Feb 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero Feng Yu Radu Timofte Luc Van Gool DiffM 322 1,396 0 24 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 331 15,373 0 20 Dec 2021
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Alex Nichol Prafulla Dhariwal Aditya A. Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever Mark Chen 280 3,571 0 20 Dec 2021
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 463 1,627 0 10 Nov 2021
MERCURY: Accelerating DNN Training By Exploiting Input Similarity Vahid Janfaza Kevin Weston Moein Razavi Shantanu Mandal Farabi Mahmud Alex Hilty A. Muzahid 44 5 0 28 Oct 2021
S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN Acceleration Zhi-Gang Liu P. Whatmough Yuhao Zhu Matthew Mattina MQ 51 77 0 16 Jul 2021
On Fast Sampling of Diffusion Probabilistic Models Zhifeng Kong Ming-Yu Liu DiffM 75 197 0 31 May 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 134 1,213 0 30 May 2021
Dual-side Sparse Tensor Core Yang-Feng Wang Chen Zhang Zhiqiang Xie Cong Guo Yunxin Liu Jingwen Leng 60 75 0 20 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 171 7,763 0 11 May 2021
CLIPScore: A Reference-free Evaluation Metric for Image Captioning Jack Hessel Ari Holtzman Maxwell Forbes Ronan Le Bras Yejin Choi CLIP 117 1,544 0 18 Apr 2021
Noise Estimation for Generative Diffusion Models Robin San-Roman Eliya Nachmani Lior Wolf DiffM 71 106 0 06 Apr 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 274 3,648 0 18 Feb 2021
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning Hanrui Wang Zhekai Zhang Song Han 99 388 0 17 Dec 2020
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework Sung-En Chang Yanyu Li Mengshu Sun Runbin Shi Hayden Kwok-Hay So Xuehai Qian Yanzhi Wang Xue Lin MQ 42 85 0 08 Dec 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 204 7,294 0 06 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 452 17,888 0 19 Jun 2020
Convolutional Tensor-Train LSTM for Spatio-temporal Learning Jiahao Su Wonmin Byeon Jean Kossaifi Furong Huang Jan Kautz Anima Anandkumar AI4TS 46 120 0 21 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 291 10,591 0 17 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 337 42,299 0 03 Dec 2019
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs Zhe Li Caiwen Ding Siyue Wang Wujie Wen Youwei Zhuo ... Qinru Qiu Wenyao Xu Xinyu Lin Xuehai Qian Yanzhi Wang MQ 40 65 0 12 Dec 2018
Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking Zhe Jia Marco Maggioni Benjamin Staiger D. Scarpazza 48 309 0 18 Apr 2018
Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN Shuai Li W. Li Chris Cook Ce Zhu Yanbo Gao 52 727 0 13 Mar 2018
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks Hardik Sharma Jongse Park Naveen Suda Liangzhen Lai Benson Chau Joo-Young Kim Vikas Chandra H. Esmaeilzadeh MQ 53 490 0 05 Dec 2017
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks A. Parashar Minsoo Rhu Anurag Mukkara A. Puglielli Rangharajan Venkatesan Brucek Khailany J. Emer S. Keckler W. Dally 70 1,125 0 23 May 2017