Structural Pruning for Diffusion Models

18 May 2023

Papers citing "Structural Pruning for Diffusion Models"

21 / 21 papers shown

Title
Accelerating Diffusion Transformer via Increment-Calibrated Caching with Channel-Aware Singular Value Decomposition Zhiyuan Chen Keyi Li Yifan Jia Le Ye Yufei Ma DiffM 35 0 0 09 May 2025
Diffusion Model Quantization: A Review Qian Zeng Chenggong Hu Mingli Song Jie Song MQ 45 0 0 08 May 2025
Quantizing Diffusion Models from a Sampling-Aware Perspective Qian Zeng Jie Song Yuanyu Wan Huiqiong Wang Mingli Song DiffM MQ 88 1 0 04 May 2025
Sparse-to-Sparse Training of Diffusion Models Inês Cardoso Oliveira Decebal Constantin Mocanu Luis A. Leiva DiffM 86 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 74 0 0 09 Apr 2025
FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning Hang Guo Yawei Li Taolin Zhang Jiadong Wang Tao Dai Shu-Tao Xia Luca Benini 72 2 0 30 Mar 2025
Accelerating Diffusion Transformers with Token-wise Feature Caching Chang Zou Xuyang Liu Ting Liu Siteng Huang Linfeng Zhang 54 14 0 20 Feb 2025
Skrr: Skip and Re-use Text Encoder Layers for Memory Efficient Text-to-Image Generation H. Seo Wongi Jeong Jae-sun Seo Se Young Chun 62 0 0 12 Feb 2025
Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement H. Kim Jaejun Yoo 52 0 0 23 Dec 2024
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection Alireza Ganjdanesh Yan Kang Yuchen Liu Richard Y. Zhang Zhe Lin Heng Huang DiffM 37 2 0 23 Sep 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 66 10 0 05 Sep 2024
Not All Noises Are Created Equally:Diffusion Noise Selection and Optimization Zipeng Qi Lichen Bai Haoyi Xiong Zeke Xie DiffM 39 18 0 19 Jul 2024
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models Alireza Ganjdanesh Reza Shirkavand Shangqian Gao Heng Huang DiffM VLM 56 4 0 17 Jun 2024
SparseDM: Toward Sparse Efficient Diffusion Models Kafeng Wang Jianfei Chen He Li Zhenpeng Mi Jun-Jie Zhu DiffM 68 8 0 16 Apr 2024
Hash3D: Training-free Acceleration for 3D Generation Xingyi Yang Xinchao Wang 3DGS 38 10 0 09 Apr 2024
DeepCache: Accelerating Diffusion Models for Free Xinyin Ma Gongfan Fang Xinchao Wang 24 124 0 01 Dec 2023
OTOV2: Automatic, Generic, User-Friendly Tianyi Chen Luming Liang Tian Ding Zhihui Zhu Ilya Zharkov VLM MQ 45 31 0 13 Mar 2023
DepGraph: Towards Any Structural Pruning Gongfan Fang Xinyin Ma Mingli Song Michael Bi Mi Xinchao Wang GNN 91 258 0 30 Jan 2023
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 132 141 0 30 Oct 2022
Accelerating Diffusion Models via Early Stop of the Diffusion Process Zhaoyang Lyu Xu Xudong Ceyuan Yang Dahua Lin Bo Dai DiffM 195 92 0 25 May 2022
Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation Lewei Yao Renjie Pi Hang Xu Wei Zhang Zhenguo Li Tong Zhang 89 38 0 27 May 2021