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On Fast Sampling of Diffusion Probabilistic Models

On Fast Sampling of Diffusion Probabilistic Models

31 May 2021
Zhifeng Kong
Wei Ping
    DiffM
ArXivPDFHTML

Papers citing "On Fast Sampling of Diffusion Probabilistic Models"

42 / 42 papers shown
Title
Diffusion Model Quantization: A Review
Diffusion Model Quantization: A Review
Qian Zeng
Chenggong Hu
Mingli Song
Jie Song
MQ
41
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
76
1
0
04 May 2025
Generative Modelling with High-Order Langevin Dynamics
Generative Modelling with High-Order Langevin Dynamics
Ziqiang Shi
Rujie Liu
DiffM
54
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
43
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
38
16
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
19
2
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
29
3
0
11 Jun 2024
Automatic Controllable Colorization via Imagination
Automatic Controllable Colorization via Imagination
Xiaoyan Cong
Yue Wu
Qifeng Chen
Chenyang Lei
DiffM
24
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
35
26
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
8
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
24
37
0
07 Dec 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
16
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
17
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
16
5
0
14 Oct 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
28
12
0
01 Jun 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
22
100
0
18 May 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
16
162
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
25
177
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
50
506
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
20
4
0
19 Jan 2023
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
27
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
26
132
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
12
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
14
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
28
180
0
15 Nov 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion
  Models
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
Muyang Li
Ji Lin
Chenlin Meng
Stefano Ermon
Song Han
Jun-Yan Zhu
DiffM
25
45
0
03 Nov 2022
Deep Equilibrium Approaches to Diffusion Models
Deep Equilibrium Approaches to Diffusion Models
Ashwini Pokle
Zhengyang Geng
Zico Kolter
DiffM
22
39
0
23 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers
GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn
Arash Vahdat
Karsten Kreis
DiffM
38
104
0
11 Oct 2022
Efficient Diffusion Models for Vision: A Survey
Efficient Diffusion Models for Vision: A Survey
Anwaar Ulhaq
Naveed Akhtar
MedIm
32
59
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
23
78
0
31 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
214
175
0
30 Jun 2022
Lossy Compression with Gaussian Diffusion
Lossy Compression with Gaussian Diffusion
Lucas Theis
Tim Salimans
Matthew D. Hoffman
Fabian Mentzer
DiffM
28
77
0
17 Jun 2022
gDDIM: Generalized denoising diffusion implicit models
gDDIM: Generalized denoising diffusion implicit models
Qinsheng Zhang
Molei Tao
Yongxin Chen
DiffM
28
111
0
11 Jun 2022
Few-Shot Diffusion Models
Few-Shot Diffusion Models
Giorgio Giannone
Didrik Nielsen
Ole Winther
DiffM
171
49
0
30 May 2022
Diffusion-LM Improves Controllable Text Generation
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Percy Liang
Tatsunori B. Hashimoto
AI4CE
171
772
0
27 May 2022
Fast Sampling of Diffusion Models with Exponential Integrator
Fast Sampling of Diffusion Models with Exponential Integrator
Qinsheng Zhang
Yongxin Chen
DiffM
20
412
0
29 Apr 2022
Generating High Fidelity Data from Low-density Regions using Diffusion
  Models
Generating High Fidelity Data from Low-density Regions using Diffusion Models
Vikash Sehwag
C. Hazirbas
Albert Gordo
Firat Ozgenel
Cristian Canton Ferrer
DiffM
25
66
0
31 Mar 2022
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality
  Speech Synthesis
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis
Max W. Y. Lam
J. Wang
Dan Su
Dong Yu
DiffM
20
92
0
25 Mar 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
83
14,580
0
20 Dec 2021
A Survey on Neural Speech Synthesis
A Survey on Neural Speech Synthesis
Xu Tan
Tao Qin
Frank Soong
Tie-Yan Liu
AI4TS
18
351
0
29 Jun 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo
Wei Hu
3DPC
175
719
0
02 Mar 2021
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