An Analysis on Quantizing Diffusion Transformers

An Analysis on Quantizing Diffusion Transformers

16 June 2024

Xiaoliang Dai

Papers citing "An Analysis on Quantizing Diffusion Transformers"

7 / 7 papers shown

Title
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation Tong Wu Zhihao Fan Xiao Liu Yeyun Gong Yelong Shen ... Juntao Li Zhongyu Wei Jian Guo Nan Duan Weizhu Chen VLM 77 51 0 16 May 2023
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 186 1,098 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 Bin Cui Ming-Hsuan Yang DiffM MedIm 213 1,277 0 02 Sep 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 163 768 0 27 May 2022
Towards Efficient Post-training Quantization of Pre-trained Language Models Haoli Bai Lu Hou Lifeng Shang Xin Jiang Irwin King M. Lyu MQ 44 47 0 30 Sep 2021
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT Sheng Shen Zhen Dong Jiayu Ye Linjian Ma Z. Yao A. Gholami Michael W. Mahoney Kurt Keutzer MQ 214 571 0 12 Sep 2019
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015