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2106.03802
Cited By
Learning to Efficiently Sample from Diffusion Probabilistic Models
7 June 2021
Daniel Watson
Jonathan Ho
Mohammad Norouzi
William Chan
DiffM
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Papers citing
"Learning to Efficiently Sample from Diffusion Probabilistic Models"
32 / 32 papers shown
Title
Generative Modelling with High-Order Langevin Dynamics
Ziqiang Shi
Rujie Liu
DiffM
54
2
0
03 Jan 2025
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
24
2
0
23 Sep 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
43
4
0
17 Jun 2024
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better
En-hao Liu
Junyi Zhu
Zinan Lin
Xuefei Ning
Shuaiqi Wang
...
Sergey Yekhanin
Guohao Dai
Huazhong Yang
Yu-Xiang Wang
Yu Wang
MoMe
55
4
0
02 Apr 2024
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
Efficient Integrators for Diffusion Generative Models
Kushagra Pandey
Maja R. Rudolph
Stephan Mandt
DiffM
21
10
0
11 Oct 2023
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts
Suttisak Wizadwongsa
Worameth Chinchuthakun
Pramook Khungurn
Amit Raj
Supasorn Suwajanakorn
DiffM
33
2
0
20 Jul 2023
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
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting
G. Liang
Prayag Tiwari
Sławomir Nowaczyk
Stefan Byttner
F. Alonso-Fernandez
DiffM
25
11
0
16 May 2023
Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models
Nikita Starodubcev
Dmitry Baranchuk
Valentin Khrulkov
Artem Babenko
DiffM
39
4
0
10 Apr 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
24
501
0
07 Mar 2023
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods
Suttisak Wizadwongsa
Supasorn Suwajanakorn
DiffM
30
12
0
27 Jan 2023
Fast Inference in Denoising Diffusion Models via MMD Finetuning
Emanuele Aiello
D. Valsesia
E. Magli
DiffM
20
4
0
19 Jan 2023
Post-training Quantization on Diffusion Models
Yuzhang Shang
Zhihang Yuan
Bin Xie
Bingzhe Wu
Yan Yan
DiffM
MQ
10
156
0
28 Nov 2022
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
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
Anwaar Ulhaq
Naveed Akhtar
MedIm
32
59
0
07 Oct 2022
OCD: Learning to Overfit with Conditional Diffusion Models
Shahar Lutati
Lior Wolf
DiffM
13
8
0
02 Oct 2022
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems
Giannis Daras
Y. Dagan
A. Dimakis
C. Daskalakis
BDL
21
15
0
18 Jun 2022
Lossy Compression with Gaussian Diffusion
Lucas Theis
Tim Salimans
Matthew D. Hoffman
Fabian Mentzer
DiffM
28
77
0
17 Jun 2022
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models
Fan Bao
Chongxuan Li
Jiacheng Sun
Jun Zhu
Bo Zhang
DiffM
13
72
0
15 Jun 2022
gDDIM: Generalized denoising diffusion implicit models
Qinsheng Zhang
Molei Tao
Yongxin Chen
DiffM
34
111
0
11 Jun 2022
Few-Shot Diffusion Models
Giorgio Giannone
Didrik Nielsen
Ole Winther
DiffM
171
49
0
30 May 2022
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
Vikash Sehwag
C. Hazirbas
Albert Gordo
Firat Ozgenel
Cristian Canton Ferrer
DiffM
25
66
0
31 Mar 2022
Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion
Tianpei Gu
Guangyi Chen
Junlong Li
Chunze Lin
Yongming Rao
Jie Zhou
Jiwen Lu
DiffM
VGen
27
192
0
25 Mar 2022
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis
Max W. Y. Lam
J. Wang
Dan Su
Dong Yu
DiffM
23
92
0
25 Mar 2022
Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal Derivatives
Hideyuki Tachibana
Mocho Go
Muneyoshi Inahara
Yotaro Katayama
Yotaro Watanabe
DiffM
16
3
0
26 Dec 2021
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction
Hyungjin Chung
Byeongsu Sim
Jong Chul Ye
MedIm
DiffM
29
342
0
09 Dec 2021
A Survey on Neural Speech Synthesis
Xu Tan
Tao Qin
Frank Soong
Tie-Yan Liu
AI4TS
18
351
0
29 Jun 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLM
TPM
36
475
0
08 Mar 2021
Efficient Content-Based Sparse Attention with Routing Transformers
Aurko Roy
M. Saffar
Ashish Vaswani
David Grangier
MoE
238
578
0
12 Mar 2020
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