Fetching the paper…
Reading the bibliography…
The practical deployment of diffusion models is still hindered by the high memory and computational overhead.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
Microsoft coco: Common objects in context, 2015
Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, C. Lawrence Zitnick, and Piotr Dollár · 2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation, 2015
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop
Fisher Yu, Yinda Zhang, Shuran Song, Ari Seff, and Jianxiong Xiao · 2015
Earlier work this paper cites.
Quantization and training of neural networks for efficient integer-arithmetic-only inference, 2017
Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew Howard, Hartwig Adam, and Dmitry Kalenichenko · 2017
Earlier work this paper cites.
Adam: A method for stochastic optimization, 2017
Diederik P. Kingma and Jimmy Ba · 2017
Earlier work this paper cites.
A note on the inception score, 2018
Shane Barratt and Rishi Sharma · 2018
Earlier work this paper cites.
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
Earlier work this paper cites.
Denoising diffusion probabilistic models, 2020
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Earlier work this paper cites.
Up or down? adaptive rounding for post-training quantization
Markus Nagel, Rana Ali Amjad, Mart Van Baalen, Christos Louizos, and Tijmen Blankevoort · 2020
Earlier work this paper cites.
Diffusion models beat gans on image synthesis, 2021
Prafulla Dhariwal and Alex Nichol · 2021
Earlier work this paper cites.
Lora: Low-rank adaptation of large language models, 2021
Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2021
Earlier work this paper cites.
Brecq: Pushing the limit of post-training quantization by block reconstruction
Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, Fengwei Yu, Wei Wang, and Shi Gu · 2021
Earlier work this paper cites.
Pruning and quantization for deep neural network acceleration: A survey
Tailin Liang, John Glossner, Lei Wang, Shaobo Shi, and Xiaotong Zhang · 2021
Cited alongside, same era.
Generating images with sparse representations, 2021
Charlie Nash, Jacob Menick, Sander Dieleman, and Peter W. Battaglia · 2021
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models, 2021
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2021
Cited alongside, same era.
Perception prioritized training of diffusion models, 2022
Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, and Sungroh Yoon · 2022
Cited alongside, same era.
A survey of quantization methods for efficient neural network inference
Amir Gholami, Sehoon Kim, Zhen Dong, Zhewei Yao, Michael W Mahoney, and Kurt Keutzer · 2022
Cited alongside, same era.
Clipscore: A reference-free evaluation metric for image captioning, 2022
Q-dm: An efficient low-bit quantized diffusion model
Yanjing Li, Sheng Xu, Xianbin Cao, Baochang Zhang, and Xiao Sun · 2023
Later among the works it cites.
Pd-quant: Post-training quantization based on prediction difference metric, 2023
Jiawei Liu, Lin Niu, Zhihang Yuan, Dawei Yang, Xinggang Wang, and Wenyu Liu · 2023
Later among the works it cites.
Post-training quantization on diffusion models
Yuzhang Shang, Zhihang Yuan, Bin Xie, Bingzhe Wu, and Yan Yan · 2023
Later among the works it cites.
Temporal dynamic quantization for diffusion models, 2023
Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, and Eunhyeok Park · 2023
Later among the works it cites.
Towards accurate data-free quantization for diffusion models, 2023
Changyuan Wang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, and Jiwen Lu · 2023
Later among the works it cites.
Qdrop: Randomly dropping quantization for extremely low-bit post-training quantization, 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, and Yejin Choi · 2022
Cited alongside, same era.
Q-vit: Accurate and fully quantized low-bit vision transformer, 2022
Yanjing Li, Sheng Xu, Baochang Zhang, Xianbin Cao, Peng Gao, and Guodong Guo · 2022
Cited alongside, same era.
Pseudo numerical methods for diffusion models on manifolds, 2022
Luping Liu, Yi Ren, Zhijie Lin, and Zhou Zhao · 2022
Cited alongside, same era.
Ptq4vit: Post-training quantization framework for vision transformers with twin uniform quantization, 2022
Zhihang Yuan, Chenhao Xue, Yiqi Chen, Qiang Wu, and Guangyu Sun · 2022
Cited alongside, same era.
Diffusion models in vision: A survey
Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, and Mubarak Shah · 2023
Cited alongside, same era.
Qlora: Efficient finetuning of quantized llms, 2023
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, and Luke Zettlemoyer · 2023
Cited alongside, same era.
Ernie-vilg 2.0: Improving text-to-image diffusion model with knowledge-enhanced mixture-of-denoising-experts
Zhida Feng, Zhenyu Zhang, Xintong Yu, Yewei Fang, Lanxin Li, Xuyi Chen, Yuxiang Lu, Jiaxiang Liu, Weichong Yin, Shikun Feng, Yu Sun, Li Chen, Hao Tian, Hua Wu, and Haifeng Wang · 2023
Cited alongside, same era.
Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, and Fengwei Yu · 2023
Later among the works it cites.
Efficient quantization strategies for latent diffusion models, 2023
Yuewei Yang, Xiaoliang Dai, Jialiang Wang, Peizhao Zhang, and Hongbo Zhang · 2023
Later among the works it cites.
Tfmq-dm: Temporal feature maintenance quantization for diffusion models, 2024
Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, and Xianglong Liu · 2024
Closest in time.
Taming diffusion model for exemplar-based image translation
Hao Ma, Jingyuan Yang, and Hui Huang · 2024
Closest in time.
Bitsfusion: 1.99 bits weight quantization of diffusion model, 2024
Yang Sui, Yanyu Li, Anil Kag, Yerlan Idelbayev, Junli Cao, Ju Hu, Dhritiman Sagar, Bo Yuan, Sergey Tulyakov, and Jian Ren · 2024
Closest in time.
Ptq4dit: Post-training quantization for diffusion transformers, 2024
Junyi Wu, Haoxuan Wang, Yuzhang Shang, Mubarak Shah, and Yan Yan · 2024
Closest in time.
Diffusion models for 3d generation: A survey
Chen Wang, Hao-Yang Peng, Ying-Tian Liu, Jiatao Gu, and Shi-Min Hu · 2025
Closest in time.