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On Fast Sampling of Diffusion Probabilistic Models

On Fast Sampling of Diffusion Probabilistic Models

31 May 2021
Zhifeng Kong
Ming-Yu Liu
    DiffM
ArXivPDFHTML

Papers citing "On Fast Sampling of Diffusion Probabilistic Models"

50 / 67 papers shown
Title
Diffusion Model Quantization: A Review
Diffusion Model Quantization: A Review
Qian Zeng
Chenggong Hu
Mingli Song
Jie Song
MQ
50
0
0
08 May 2025
Quantizing Diffusion Models from a Sampling-Aware Perspective
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
From Missing Pieces to Masterpieces: Image Completion with Context-Adaptive Diffusion
From Missing Pieces to Masterpieces: Image Completion with Context-Adaptive Diffusion
Pourya Shamsolmoali
Masoumeh Zareapoor
Huiyu Zhou
Michael Felsberg
Dacheng Tao
Xuelong Li
DiffM
39
0
0
19 Apr 2025
Ditto: Accelerating Diffusion Model via Temporal Value Similarity
Ditto: Accelerating Diffusion Model via Temporal Value Similarity
Sungbin Kim
Hyunwuk Lee
Wonho Cho
Mincheol Park
Won Woo Ro
58
1
0
20 Jan 2025
Generative diffusion model with inverse renormalization group flows
Generative diffusion model with inverse renormalization group flows
Kanta Masuki
Yuto Ashida
DiffM
78
0
0
17 Jan 2025
Generative Modelling with High-Order Langevin Dynamics
Generative Modelling with High-Order Langevin Dynamics
Ziqiang Shi
Rujie Liu
DiffM
62
2
0
03 Jan 2025
SF-Speech: Straightened Flow for Zero-Shot Voice Clone
SF-Speech: Straightened Flow for Zero-Shot Voice Clone
Xuyuan Li
Zengqiang Shang
Hua Hua
Peiyang Shi
Chen Yang
Li Wang
Pengyuan Zhang
60
2
0
16 Oct 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive
  Survey
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey
V. T. Truong
Luan Ba Dang
Long Bao Le
DiffM
MedIm
58
17
0
06 Aug 2024
Temporal Feature Matters: A Framework for Diffusion Model Quantization
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
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with
  Energy-Based Models
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models
Sangwoong Yoon
Himchan Hwang
Dohyun Kwon
Yung-Kyun Noh
Frank C. Park
39
3
0
30 Jun 2024
Image Neural Field Diffusion Models
Image Neural Field Diffusion Models
Yinbo Chen
Oliver Wang
Richard Zhang
Eli Shechtman
Xiaolong Wang
Michael Gharbi
DiffM
45
3
0
11 Jun 2024
Automatic Controllable Colorization via Imagination
Automatic Controllable Colorization via Imagination
Xiaoyan Cong
Yue Wu
Qifeng Chen
Chenyang Lei
DiffM
39
5
0
08 Apr 2024
Trajectory Consistency Distillation: Improved Latent Consistency
  Distillation by Semi-Linear Consistency Function with Trajectory Mapping
Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping
Jianbin Zheng
Minghui Hu
Zhongyi Fan
Chaoyue Wang
Changxing Ding
Dacheng Tao
Tat-Jen Cham
45
27
0
29 Feb 2024
Unraveling the Temporal Dynamics of the Unet in Diffusion Models
Unraveling the Temporal Dynamics of the Unet in Diffusion Models
Vidya Prasad
Zhu-Tian Chen
Anna Vilanova
Hanspeter Pfister
Nicola Pezzotti
Hendrik Strobelt
DiffM
22
4
0
17 Dec 2023
Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation
Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation
Zhiwu Qing
Shiwei Zhang
Jiayu Wang
Xiang Wang
Yujie Wei
Yingya Zhang
Changxin Gao
Nong Sang
VGen
DiffM
32
37
0
07 Dec 2023
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models
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
FusionFrames: Efficient Architectural Aspects for Text-to-Video
  Generation Pipeline
FusionFrames: Efficient Architectural Aspects for Text-to-Video Generation Pipeline
V.Ya. Arkhipkin
Zein Shaheen
Viacheslav Vasilev
E. Dakhova
Andrey Kuznetsov
Denis Dimitrov
DiffM
VGen
29
5
0
22 Nov 2023
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations
  Against Unauthorized Data Usage in Diffusion-Based Generative AI
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI
Bochuan Cao
Changjiang Li
Ting Wang
Jinyuan Jia
Bo Li
Jinghui Chen
DiffM
33
21
0
30 Oct 2023
Towards More Accurate Diffusion Model Acceleration with A Timestep
  Aligner
Towards More Accurate Diffusion Model Acceleration with A Timestep Aligner
Mengfei Xia
Yujun Shen
Changsong Lei
Yu Zhou
Ran Yi
Deli Zhao
Wenping Wang
Yong-jin Liu
29
5
0
14 Oct 2023
Deep Learning Approaches for Data Augmentation in Medical Imaging: A
  Review
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review
Aghiles Kebaili
J. Lapuyade-Lahorgue
S. Ruan
MedIm
26
144
0
24 Jul 2023
Discovering Failure Modes of Text-guided Diffusion Models via
  Adversarial Search
Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search
Qihao Liu
Adam Kortylewski
Yutong Bai
Song Bai
Alan Yuille
DiffM
40
12
0
01 Jun 2023
Addressing Negative Transfer in Diffusion Models
Addressing Negative Transfer in Diffusion Models
Hyojun Go
Jinyoung Kim
Yunsung Lee
Seunghyun Lee
Shinhyeok Oh
Hyeongdon Moon
Seungtaek Choi
DiffM
VLM
32
24
0
01 Jun 2023
DiffSketching: Sketch Control Image Synthesis with Diffusion Models
DiffSketching: Sketch Control Image Synthesis with Diffusion Models
Qiang Wang
Di Kong
Fengyin Lin
Yonggang Qi
DiffM
43
14
0
30 May 2023
PTQD: Accurate Post-Training Quantization for Diffusion Models
PTQD: Accurate Post-Training Quantization for Diffusion Models
Yefei He
Luping Liu
Jing Liu
Weijia Wu
Hong Zhou
Bohan Zhuang
DiffM
MQ
32
103
0
18 May 2023
CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI
  Synthesis
CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis
Lan Jiang
Ye Mao
Xi Chen
Xiangfeng Wang
Chao Li
MedIm
DiffM
80
56
0
24 Mar 2023
Conditional Image-to-Video Generation with Latent Flow Diffusion Models
Conditional Image-to-Video Generation with Latent Flow Diffusion Models
Haomiao Ni
Changhao Shi
Kaican Li
Sharon X. Huang
Martin Renqiang Min
VGen
DiffM
37
165
0
24 Mar 2023
Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models
Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models
Lukas Höllein
Ang Cao
Andrew Owens
Justin Johnson
Matthias Nießner
DiffM
38
179
0
21 Mar 2023
Structure and Content-Guided Video Synthesis with Diffusion Models
Structure and Content-Guided Video Synthesis with Diffusion Models
Patrick Esser
Johnathan Chiu
Parmida Atighehchian
Jonathan Granskog
Anastasis Germanidis
DiffM
VGen
96
509
0
06 Feb 2023
Fast Inference in Denoising Diffusion Models via MMD Finetuning
Fast Inference in Denoising Diffusion Models via MMD Finetuning
Emanuele Aiello
D. Valsesia
E. Magli
DiffM
22
4
0
19 Jan 2023
Ensuring Visual Commonsense Morality for Text-to-Image Generation
Ensuring Visual Commonsense Morality for Text-to-Image Generation
Seong-Oak Park
Suhong Moon
Jinkyu Kim
19
2
0
07 Dec 2022
DiffRF: Rendering-Guided 3D Radiance Field Diffusion
DiffRF: Rendering-Guided 3D Radiance Field Diffusion
Norman Muller
Yawar Siddiqui
Lorenzo Porzi
Samuel Rota Buló
Peter Kontschieder
Matthias Nießner
46
185
0
02 Dec 2022
Fast Sampling of Diffusion Models via Operator Learning
Fast Sampling of Diffusion Models via Operator Learning
Hongkai Zheng
Weili Nie
Arash Vahdat
Kamyar Azizzadenesheli
Anima Anandkumar
DiffM
65
134
0
24 Nov 2022
SinDiffusion: Learning a Diffusion Model from a Single Natural Image
SinDiffusion: Learning a Diffusion Model from a Single Natural Image
Weilun Wang
Jianmin Bao
Wen-gang Zhou
Dongdong Chen
Dong Chen
Lu Yuan
Houqiang Li
DiffM
36
49
0
22 Nov 2022
Accelerating Diffusion Sampling with Classifier-based Feature
  Distillation
Accelerating Diffusion Sampling with Classifier-based Feature Distillation
Wujie Sun
Defang Chen
Can Wang
Deshi Ye
Yan Feng
Chun-Yen Chen
35
16
0
22 Nov 2022
Versatile Diffusion: Text, Images and Variations All in One Diffusion
  Model
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
Xingqian Xu
Zhangyang Wang
Eric Zhang
Kai Wang
Humphrey Shi
DiffM
43
186
0
15 Nov 2022
Denoising diffusion models for out-of-distribution detection
Denoising diffusion models for out-of-distribution detection
M. Graham
W. H. Pinaya
Petru-Daniel Tudosiu
P. Nachev
Sebastien Ourselin
M. Jorge Cardoso
38
73
0
14 Nov 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion
  Models
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
Zhekai Zhang
Ji Lin
Chenlin Meng
Stefano Ermon
Song Han
Jun-Yan Zhu
DiffM
40
45
0
03 Nov 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Cheng Lu
Yuhao Zhou
Fan Bao
Jianfei Chen
Chongxuan Li
Jun Zhu
DiffM
61
557
0
02 Nov 2022
Deep Equilibrium Approaches to Diffusion Models
Deep Equilibrium Approaches to Diffusion Models
Ashwini Pokle
Zhengyang Geng
Zico Kolter
DiffM
30
39
0
23 Oct 2022
LION: Latent Point Diffusion Models for 3D Shape Generation
LION: Latent Point Diffusion Models for 3D Shape Generation
Fangyin Wei
Arash Vahdat
Francis Williams
Zan Gojcic
Or Litany
Sanja Fidler
Karsten Kreis
DiffM
73
489
0
12 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers
GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn
Arash Vahdat
Karsten Kreis
DiffM
51
105
0
11 Oct 2022
Efficient Diffusion Models for Vision: A Survey
Efficient Diffusion Models for Vision: A Survey
Anwaar Ulhaq
Naveed Akhtar
MedIm
36
60
0
07 Oct 2022
Let us Build Bridges: Understanding and Extending Diffusion Generative
  Models
Let us Build Bridges: Understanding and Extending Diffusion Generative Models
Xingchao Liu
Lemeng Wu
Mao Ye
Qiang Liu
DiffM
34
80
0
31 Aug 2022
Wavelet Score-Based Generative Modeling
Wavelet Score-Based Generative Modeling
Florentin Guth
Simon Coste
Valentin De Bortoli
S. Mallat
DiffM
32
52
0
09 Aug 2022
Semantic Image Synthesis via Diffusion Models
Semantic Image Synthesis via Diffusion Models
Weilun Wang
Weilun Wang
Wen-gang Zhou
Dongdong Chen
Dong Chen
Lu Yuan
Houqiang Li
DiffM
233
177
0
30 Jun 2022
SPI-GAN: Denoising Diffusion GANs with Straight-Path Interpolations
SPI-GAN: Denoising Diffusion GANs with Straight-Path Interpolations
Jinsung Jeon
Noseong Park
DiffM
23
1
0
29 Jun 2022
Lossy Compression with Gaussian Diffusion
Lossy Compression with Gaussian Diffusion
Lucas Theis
Tim Salimans
Matthew D. Hoffman
Fabian Mentzer
DiffM
35
78
0
17 Jun 2022
gDDIM: Generalized denoising diffusion implicit models
gDDIM: Generalized denoising diffusion implicit models
Qinsheng Zhang
Molei Tao
Yongxin Chen
DiffM
45
113
0
11 Jun 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling
  in Around 10 Steps
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
Cheng Lu
Yuhao Zhou
Fan Bao
Jianfei Chen
Chongxuan Li
Jun Zhu
DiffM
77
1,351
0
02 Jun 2022
Improved Vector Quantized Diffusion Models
Improved Vector Quantized Diffusion Models
Zhicong Tang
Shuyang Gu
Jianmin Bao
Dong Chen
Fang Wen
DiffM
187
63
0
31 May 2022
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