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OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic
  Models

OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models

International Conference on Machine Learning (ICML), 2023
15 June 2023
En-hao Liu
Xuefei Ning
Zinan Lin
Huazhong Yang
Yu Wang
ArXiv (abs)PDFHTML

Papers citing "OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models"

32 / 32 papers shown
LeMiCa: Lexicographic Minimax Path Caching for Efficient Diffusion-Based Video Generation
LeMiCa: Lexicographic Minimax Path Caching for Efficient Diffusion-Based Video Generation
Huanlin Gao
Ping Chen
Fuyuan Shi
C. Tan
Zhaoxiang Liu
Fang Zhao
Kai Wang
Shiguo Lian
DiffMVGen
340
0
0
30 Oct 2025
BADiff: Bandwidth Adaptive Diffusion Model
BADiff: Bandwidth Adaptive Diffusion Model
Xi Zhang
Hanwei Zhu
Yan Zhong
Jiamang Wang
Weisi Lin
117
0
0
24 Oct 2025
Taming Flow-based I2V Models for Creative Video Editing
Taming Flow-based I2V Models for Creative Video Editing
Xianghao Kong
Hansheng Chen
Yuwei Guo
Lvmin Zhang
Gordon Wetzstein
Maneesh Agrawala
Anyi Rao
DiffMVGen
145
2
0
26 Sep 2025
Compact Attention: Exploiting Structured Spatio-Temporal Sparsity for Fast Video Generation
Compact Attention: Exploiting Structured Spatio-Temporal Sparsity for Fast Video Generation
Qirui Li
Guangcong Zheng
Qi Zhao
Jie Li
Bin Dong
Jing Lin
Xi Li
VGen
149
2
0
18 Aug 2025
Flexiffusion: Training-Free Segment-Wise Neural Architecture Search for Efficient Diffusion Models
Flexiffusion: Training-Free Segment-Wise Neural Architecture Search for Efficient Diffusion Models
Hongtao Huang
Xiaojun Chang
Weitong Chen
MedIm
307
0
0
03 Jun 2025
IGSM: Improved Geometric and Sensitivity Matching for Finetuning Pruned Diffusion Models
IGSM: Improved Geometric and Sensitivity Matching for Finetuning Pruned Diffusion Models
Caleb Zheng
Eli Shlizerman
DiffM
234
0
0
03 Jun 2025
MARché: Fast Masked Autoregressive Image Generation with Cache-Aware Attention
MARché: Fast Masked Autoregressive Image Generation with Cache-Aware Attention
Chaoyi Jiang
Sungwoo Kim
Lei Gao
Hossein Entezari Zarch
Won Woo Ro
Murali Annavaram
222
0
0
22 May 2025
Efficient Personalization of Quantized Diffusion Model without Backpropagation
Efficient Personalization of Quantized Diffusion Model without BackpropagationComputer Vision and Pattern Recognition (CVPR), 2025
H. Seo
Wongi Jeong
Kyungryeol Lee
Se Young Chun
DiffMMQ
365
1
0
19 Mar 2025
FEB-Cache: Frequency-Guided Exposure Bias Reduction for Enhancing Diffusion Transformer Caching
FEB-Cache: Frequency-Guided Exposure Bias Reduction for Enhancing Diffusion Transformer Caching
Zhen Zou
Hu Yu
310
0
0
10 Mar 2025
CacheQuant: Comprehensively Accelerated Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2025
Xuewen Liu
Zhikai Li
Qingyi Gu
DiffM
200
6
0
03 Mar 2025
Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising
Remix-DiT: Mixing Diffusion Transformers for Multi-Expert DenoisingNeural Information Processing Systems (NeurIPS), 2024
Gongfan Fang
Xinyin Ma
Xinchao Wang
DiffMMoE
342
3
0
07 Dec 2024
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image
  Synthesis
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image SynthesisNeural Information Processing Systems (NeurIPS), 2024
Zanlin Ni
Yulin Wang
Renping Zhou
Yizeng Han
Jiayi Guo
Zhiyuan Liu
Xingtai Lv
Gao Huang
269
10
0
11 Nov 2024
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task LearningComputer Vision and Pattern Recognition (CVPR), 2024
Qianli Ma
Xuefei Ning
Dongrui Liu
Li Niu
Linfeng Zhang
MoMe
299
2
0
09 Oct 2024
Flexiffusion: Segment-wise Neural Architecture Search for Flexible Denoising Schedule
Flexiffusion: Segment-wise Neural Architecture Search for Flexible Denoising Schedule
Hongtao Huang
Xiaojun Chang
Weitong Chen
317
0
0
26 Sep 2024
Mixture of Efficient Diffusion Experts Through Automatic Interval and
  Sub-Network Selection
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network SelectionEuropean Conference on Computer Vision (ECCV), 2024
Alireza Ganjdanesh
Yan Kang
Yuchen Liu
Richard Y. Zhang
Zhe Lin
Heng Huang
DiffM
346
13
0
23 Sep 2024
Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models:
  Enhancing Performance and Reducing Inference Costs
Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs
Enshu Liu
Junyi Zhu
Zinan Lin
Xuefei Ning
Matthew B. Blaschko
Shengen Yan
Guohao Dai
Huazhong Yang
Yu Wang
MoE
220
21
0
01 Jul 2024
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models
Alireza Ganjdanesh
Reza Shirkavand
Shangqian Gao
Heng Huang
DiffMVLM
437
10
0
17 Jun 2024
DiTFastAttn: Attention Compression for Diffusion Transformer Models
DiTFastAttn: Attention Compression for Diffusion Transformer Models
Zhihang Yuan
Pu Lu
Hanling Zhang
Xuefei Ning
Linfeng Zhang
Tianchen Zhao
Shengen Yan
Guohao Dai
Yu Wang
240
72
0
12 Jun 2024
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
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
MQVGen
494
60
0
04 Jun 2024
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
Xinyin Ma
Gongfan Fang
Michael Bi Mi
Xinchao Wang
291
85
0
03 Jun 2024
$Δ$-DiT: A Training-Free Acceleration Method Tailored for Diffusion
  Transformers
ΔΔΔ-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers
Pengtao Chen
Mingzhu Shen
Peng Ye
Jianjian Cao
Chongjun Tu
C. Bouganis
Yiren Zhao
Tao Chen
397
90
0
03 Jun 2024
FRRffusion: Unveiling Authenticity with Diffusion-Based Face Retouching
  Reversal
FRRffusion: Unveiling Authenticity with Diffusion-Based Face Retouching Reversal
Fengchuang Xing
Xiao-Wen Shi
Yuan-Gen Wang
Chunsheng Yang
DiffM
217
0
0
13 May 2024
Attention-Driven Training-Free Efficiency Enhancement of Diffusion
  Models
Attention-Driven Training-Free Efficiency Enhancement of Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2024
Hongjie Wang
Difan Liu
Yan Kang
Yijun Li
Zhe Lin
N. Jha
Yuchen Liu
223
27
0
08 May 2024
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models BetterInternational Conference on Learning Representations (ICLR), 2024
En-hao Liu
Junyi Zhu
Zinan Lin
Xuefei Ning
Shuaiqi Wang
...
Sergey Yekhanin
Guohao Dai
Huazhong Yang
Yu Wang
Yu Wang
MoMe
422
5
0
02 Apr 2024
FlashEval: Towards Fast and Accurate Evaluation of Text-to-image
  Diffusion Generative Models
FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models
Lin Zhao
Tianchen Zhao
Zinan Lin
Xuefei Ning
Guohao Dai
Huazhong Yang
Yu Wang
EGVM
214
13
0
25 Mar 2024
Denoising Task Difficulty-based Curriculum for Training Diffusion Models
Denoising Task Difficulty-based Curriculum for Training Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2024
Jin-Young Kim
Hyojun Go
Soonwoo Kwon
Hyun-Gyoon Kim
DiffM
683
12
0
15 Mar 2024
Accelerating Diffusion Sampling with Optimized Time Steps
Accelerating Diffusion Sampling with Optimized Time Steps
Shuchen Xue
Zhaoqiang Liu
Fei Chen
Shifeng Zhang
Tianyang Hu
Enze Xie
Zhenguo Li
DiffM
435
50
0
27 Feb 2024
Your Student is Better Than Expected: Adaptive Teacher-Student
  Collaboration for Text-Conditional Diffusion Models
Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models
Nikita Starodubcev
Artem Fedorov
Artem Babenko
Dmitry Baranchuk
DiffM
272
5
0
17 Dec 2023
A Unified Sampling Framework for Solver Searching of Diffusion
  Probabilistic Models
A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic ModelsInternational Conference on Learning Representations (ICLR), 2023
En-hao Liu
Xuefei Ning
Huazhong Yang
Yu Wang
DiffM
185
13
0
12 Dec 2023
DeepCache: Accelerating Diffusion Models for Free
DeepCache: Accelerating Diffusion Models for FreeComputer Vision and Pattern Recognition (CVPR), 2023
Xinyin Ma
Gongfan Fang
Xinchao Wang
426
261
0
01 Dec 2023
Denoising Diffusion Step-aware Models
Denoising Diffusion Step-aware ModelsInternational Conference on Learning Representations (ICLR), 2023
Shuai Yang
Yukang Chen
Luozhou Wang
Shu Liu
Ying-Cong Chen
DiffM
368
23
0
05 Oct 2023
Structural Pruning for Diffusion Models
Structural Pruning for Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023
Gongfan Fang
Xinyin Ma
Xinchao Wang
378
192
0
18 May 2023
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