How Much is Enough? A Study on Diffusion Times in Score-based Generative
Models

How Much is Enough? A Study on Diffusion Times in Score-based Generative Models

10 June 2022

Giulio Franzese

Maurizio Filippone

Pietro Michiardi

Papers citing "How Much is Enough? A Study on Diffusion Times in Score-based Generative Models"

15 / 15 papers shown

Title
Diffusion Model Quantization: A Review Qian Zeng Chenggong Hu Mingli Song Jie Song MQ 48 0 0 08 May 2025
An analysis of the noise schedule for score-based generative models SU StanislasStrasman Antonio Ocello Claire Boyer Lpsm Sylvain Le Corff Lpsm Vincent Lemaire DiffM 103 5 0 28 Jan 2025
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 49 0 0 28 Jul 2024
TwinDiffusion: Enhancing Coherence and Efficiency in Panoramic Image Generation with Diffusion Models Teng Zhou Yongchuan Tang DiffM 48 2 0 30 Apr 2024
S $Ω$ I: Score-based O-INFORMATION Estimation Mustapha Bounoua Giulio Franzese Pietro Michiardi 29 1 0 08 Feb 2024
Offloading and Quality Control for AI Generated Content Services in 6G Mobile Edge Computing Networks Yi-Ting Wang Chang Liu Jun Zhao 19 1 0 11 Dec 2023
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models Yushi Huang Ruihao Gong Jing Liu Tianlong Chen Xianglong Liu DiffM MQ 30 38 0 27 Nov 2023
PTQD: Accurate Post-Training Quantization for Diffusion Models Yefei He Luping Liu Jing Liu Weijia Wu Hong Zhou Bohan Zhuang DiffM MQ 30 103 0 18 May 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Yihan Cao Siyu Li Yixin Liu Zhiling Yan Yutong Dai Philip S. Yu Lichao Sun 38 509 0 07 Mar 2023
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models Louis Sharrock J. Simons Song Liu Mark Beaumont DiffM 64 34 0 10 Oct 2022
Efficient Diffusion Models for Vision: A Survey Anwaar Ulhaq Naveed Akhtar MedIm 34 60 0 07 Oct 2022
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen Sinho Chewi Jungshian Li Yuanzhi Li Adil Salim Anru R. Zhang DiffM 135 249 0 22 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 63 859 0 07 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 226 1,314 0 02 Sep 2022
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory T. Chen Guan-Horng Liu Evangelos A. Theodorou DiffM OT 174 165 0 21 Oct 2021