Post-training Quantization on Diffusion Models

28 November 2022

Yan Yan

Papers citing "Post-training Quantization on Diffusion Models"

50 / 55 papers shown

Title
Sparse-to-Sparse Training of Diffusion Models Inês Cardoso Oliveira Decebal Constantin Mocanu Luis A. Leiva DiffM 109 0 0 30 Apr 2025
DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation Wangbo Zhao Yizeng Han Jiasheng Tang Kai Wang Hao Luo Yibing Song Gao Huang Fan Wang Yang You 98 0 0 09 Apr 2025
FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality Zhengyao Lv Chenyang Si Junhao Song Zhenyu Yang Ping Luo Ziwei Liu Kwan-Yee K. Wong VGen DiffM 100 12 0 13 Mar 2025
From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers Jiacheng Liu Chang Zou Yuanhuiyi Lyu Junjie Chen Linfeng Zhang DiffM 85 2 0 10 Mar 2025
Post-Training Quantization for Diffusion Transformer via Hierarchical Timestep Grouping Ning Ding Jing Han Yuchuan Tian Chao Xu Kai Han Yehui Tang MQ 100 0 0 10 Mar 2025
Accelerating Diffusion Transformers with Token-wise Feature Caching Chang Zou Xuyang Liu Ting Liu Siteng Huang Linfeng Zhang 100 15 0 20 Feb 2025
Ditto: Accelerating Diffusion Model via Temporal Value Similarity Sungbin Kim Hyunwuk Lee Wonho Cho Mincheol Park Won Woo Ro 81 1 0 20 Jan 2025
Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Omid Saghatchian Atiyeh Gh. Moghadam Ahmad Nickabadi MoMe 74 1 0 03 Jan 2025
FADA: Fast Diffusion Avatar Synthesis with Mixed-Supervised Multi-CFG Distillation Tianyun Zhong Chao Liang Jianwen Jiang Gaojie Lin Jiaqi Yang Zhou Zhao DiffM 130 1 0 22 Dec 2024
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models Hang Guo Yawei Li Tao Dai Shu-Tao Xia Luca Benini MQ 51 2 0 29 Oct 2024
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture Qianlong Xiang Miao Zhang Yuzhang Shang Jianlong Wu Yan Yan Liqiang Nie DiffM 87 10 0 05 Sep 2024
Temporal Feature Matters: A Framework for Diffusion Model Quantization Yushi Huang Ruihao Gong Xianglong Liu Jing Liu Yuhang Li Jiwen Lu Dacheng Tao DiffM MQ 59 0 0 28 Jul 2024
Active Diffusion Subsampling Oisin Nolan Tristan S. W. Stevens Wessel L. van Nierop Ruud J. G. van Sloun DiffM MedIm 57 3 0 20 Jun 2024
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation Tianchen Zhao Tongcheng Fang Haofeng Huang Enshu Liu Widyadewi Soedarmadji ... Shengen Yan Huazhong Yang Xuefei Ning Xuefei Ning Yu Wang MQ VGen 128 29 0 04 Jun 2024
TerDiT: Ternary Diffusion Models with Transformers Xudong Lu Aojun Zhou Ziyi Lin Qi Liu Yuhui Xu Renrui Zhang Yafei Wen Shuai Ren Peng Gao Junchi Yan MQ 74 3 0 23 May 2024
LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models Dingkun Zhang Sijia Li Chen Chen Qingsong Xie H. Lu 56 25 0 17 Apr 2024
Make-A-Video: Text-to-Video Generation without Text-Video Data Uriel Singer Adam Polyak Thomas Hayes Xiaoyue Yin Jie An ... Oron Ashual Oran Gafni Devi Parikh Sonal Gupta Yaniv Taigman DiffM VGen 64 1,373 0 29 Sep 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 217 1,180 0 10 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 295 1,347 0 02 Sep 2022
Lipschitz Continuity Retained Binary Neural Network Yuzhang Shang Dan Xu Bin Duan Ziliang Zong Liqiang Nie Yan Yan 36 19 0 13 Jul 2022
Network Binarization via Contrastive Learning Yuzhang Shang Dan Xu Ziliang Zong Liqiang Nie Yan Yan AAML MQ 53 21 0 06 Jul 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 129 1,377 0 02 Jun 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 263 5,904 0 23 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 276 6,768 0 13 Apr 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 113 30,021 0 01 Mar 2022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models Fan Bao Chongxuan Li Jun Zhu Bo Zhang DiffM 70 341 0 17 Jan 2022
PTQ4ViT: Post-training quantization for vision transformers with twin uniform quantization Zhihang Yuan Chenhao Xue Yiqi Chen Qiang Wu Guangyu Sun ViT MQ 39 136 0 24 Nov 2021
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization Mingliang Xu Mingbao Lin Gongrui Nan Jianzhuang Liu Baochang Zhang Yonghong Tian Rongrong Ji MQ 64 73 0 17 Nov 2021
Lipschitz Continuity Guided Knowledge Distillation Yuzhang Shang Bin Duan Ziliang Zong Liqiang Nie Yan Yan 29 29 0 29 Aug 2021
A White Paper on Neural Network Quantization Markus Nagel Marios Fournarakis Rana Ali Amjad Yelysei Bondarenko M. V. Baalen Tijmen Blankevoort MQ 51 518 0 15 Jun 2021
Learning to Efficiently Sample from Diffusion Probabilistic Models Daniel Watson Jonathan Ho Mohammad Norouzi William Chan DiffM 62 135 0 07 Jun 2021
Gotta Go Fast When Generating Data with Score-Based Models Alexia Jolicoeur-Martineau Ke Li Remi Piche-Taillefer Tal Kachman Ioannis Mitliagkas DiffM 55 218 0 28 May 2021
UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models Hiroshi Sasaki Chris G. Willcocks T. Breckon DiffM 41 163 0 12 Apr 2021
Noise Estimation for Generative Diffusion Models Robin San-Roman Eliya Nachmani Lior Wolf DiffM 55 105 0 06 Apr 2021
Symbolic Music Generation with Diffusion Models Gautam Mittal Jesse Engel Curtis Hawthorne Ian Simon MGen DiffM 73 193 0 30 Mar 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 162 3,599 0 18 Feb 2021
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction Yuhang Li Ruihao Gong Xu Tan Yang Yang Peng Hu Qi Zhang F. Yu Wei Wang Shi Gu MQ 93 426 0 10 Feb 2021
Generative Zero-shot Network Quantization Xiangyu He Qinghao Hu Peisong Wang Jian Cheng GAN MQ 43 23 0 21 Jan 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 206 263 0 07 Jan 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 260 6,293 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 125 7,166 0 06 Oct 2020
WaveGrad: Estimating Gradients for Waveform Generation Nanxin Chen Yu Zhang Heiga Zen Ron J. Weiss Mohammad Norouzi William Chan DiffM BDL 47 787 0 02 Sep 2020
Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser Zahra Kadkhodaie Eero P. Simoncelli 50 82 0 27 Jul 2020
EasyQuant: Post-training Quantization via Scale Optimization Di Wu Qingming Tang Yongle Zhao Ming Zhang Ying Fu Debing Zhang MQ 53 76 0 30 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 271 17,550 0 19 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 127 1,135 0 16 Jun 2020
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming Itay Hubara Yury Nahshan Y. Hanani Ron Banner Daniel Soudry MQ 70 124 0 14 Jun 2020
Permutation Invariant Graph Generation via Score-Based Generative Modeling Chenhao Niu Yang Song Jiaming Song Shengjia Zhao Aditya Grover Stefano Ermon DiffM 44 266 0 02 Mar 2020
ZeroQ: A Novel Zero Shot Quantization Framework Yaohui Cai Z. Yao Zhen Dong A. Gholami Michael W. Mahoney Kurt Keutzer MQ 53 393 0 01 Jan 2020
Loss Aware Post-training Quantization Yury Nahshan Brian Chmiel Chaim Baskin Evgenii Zheltonozhskii Ron Banner A. Bronstein A. Mendelson MQ 54 165 0 17 Nov 2019