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gDDIM: Generalized denoising diffusion implicit models

gDDIM: Generalized denoising diffusion implicit models

11 June 2022
Qinsheng Zhang
Molei Tao
Yongxin Chen
    DiffM
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Papers citing "gDDIM: Generalized denoising diffusion implicit models"

40 / 90 papers shown
Title
The Blessing of Randomness: SDE Beats ODE in General Diffusion-based
  Image Editing
The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing
Shen Nie
Hanzhong Guo
Cheng Lu
Yuhao Zhou
Chenyu Zheng
Chongxuan Li
DiffM
19
37
0
02 Nov 2023
Score Normalization for a Faster Diffusion Exponential Integrator
  Sampler
Score Normalization for a Faster Diffusion Exponential Integrator Sampler
Guoxuan Xia
Duolikun Danier
Ayan Das
Stathi Fotiadis
F. Nabiei
Ushnish Sengupta
A. Bernacchia
DiffM
19
3
0
31 Oct 2023
Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion
  Models
Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models
Utkarsh Aashu Mishra
Shangjie Xue
Yongxin Chen
Danfei Xu
LRM
31
65
0
13 Oct 2023
Efficient Integrators for Diffusion Generative Models
Efficient Integrators for Diffusion Generative Models
Kushagra Pandey
Maja R. Rudolph
Stephan Mandt
DiffM
21
10
0
11 Oct 2023
Generative Modeling with Phase Stochastic Bridges
Generative Modeling with Phase Stochastic Bridges
Tianrong Chen
Jiatao Gu
Laurent Dinh
Evangelos A. Theodorou
J. Susskind
Shuangfei Zhai
DiffM
25
13
0
11 Oct 2023
Elucidating the solution space of extended reverse-time SDE for diffusion models
Elucidating the solution space of extended reverse-time SDE for diffusion models
Qinpeng Cui
Xinyi Zhang
Zongqing Lu
Qingmin Liao
DiffM
27
5
0
12 Sep 2023
Diffusion Models with Deterministic Normalizing Flow Priors
Diffusion Models with Deterministic Normalizing Flow Priors
Mohsen Zand
Ali Etemad
Michael A. Greenspan
DiffM
29
2
0
03 Sep 2023
Improved Order Analysis and Design of Exponential Integrator for
  Diffusion Models Sampling
Improved Order Analysis and Design of Exponential Integrator for Diffusion Models Sampling
Qinsheng Zhang
Jiaming Song
Yongxin Chen
DiffM
30
10
0
04 Aug 2023
Understanding the Latent Space of Diffusion Models through the Lens of
  Riemannian Geometry
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry
Yong-Hyun Park
Mingi Kwon
J. Choi
Junghyo Jo
Youngjung Uh
DiffM
30
60
0
24 Jul 2023
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts
Suttisak Wizadwongsa
Worameth Chinchuthakun
Pramook Khungurn
Amit Raj
Supasorn Suwajanakorn
DiffM
28
2
0
20 Jul 2023
ExposureDiffusion: Learning to Expose for Low-light Image Enhancement
ExposureDiffusion: Learning to Expose for Low-light Image Enhancement
Yufei Wang
Yi Yu
Wenhan Yang
Lanqing Guo
Lap-Pui Chau
Alex C. Kot
B. Wen
DiffM
25
40
0
15 Jul 2023
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image
  Generation using Limited Data
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
DiffM
19
10
0
25 Jun 2023
Eliminating Lipschitz Singularities in Diffusion Models
Eliminating Lipschitz Singularities in Diffusion Models
Zhantao Yang
Ruili Feng
Han Zhang
Yujun Shen
Kaixuan Zhu
...
Yifei Zhang
Yu Liu
Deli Zhao
Jingren Zhou
Fan Cheng
6
9
0
20 Jun 2023
Fast Diffusion Model
Fast Diffusion Model
Zike Wu
Pan Zhou
Kenji Kawaguchi
Hanwang Zhang
DiffM
19
19
0
12 Jun 2023
Detector Guidance for Multi-Object Text-to-Image Generation
Detector Guidance for Multi-Object Text-to-Image Generation
Luping Liu
Zijian Zhang
Yi Ren
Rongjie Huang
Xiang Yin
Zhou Zhao
DiffM
25
9
0
04 Jun 2023
Exploring the Optimal Choice for Generative Processes in Diffusion
  Models: Ordinary vs Stochastic Differential Equations
Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations
Yu Cao
Jingrun Chen
Yixin Luo
Xiaoping Zhou
DiffM
6
7
0
03 Jun 2023
VideoComposer: Compositional Video Synthesis with Motion Controllability
VideoComposer: Compositional Video Synthesis with Motion Controllability
Xiang Wang
Hangjie Yuan
Shiwei Zhang
Dayou Chen
Jiuniu Wang
Yingya Zhang
Yujun Shen
Deli Zhao
Jingren Zhou
VGen
DiffM
25
315
0
03 Jun 2023
Parallel Sampling of Diffusion Models
Parallel Sampling of Diffusion Models
Andy Shih
Suneel Belkhale
Stefano Ermon
Dorsa Sadigh
Nima Anari
DiffM
23
49
0
25 May 2023
SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from
  Diffusion Models
SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models
Martin Gonzalez
N. Fernández
T. Tran
Elies Gherbi
H. Hajri
N. Masmoudi
DiffM
24
22
0
23 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
22
100
0
18 May 2023
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling
  in Offline Reinforcement Learning
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning
Cheng Lu
Huayu Chen
Jianfei Chen
Hang Su
Chongxuan Li
Jun Zhu
DiffM
OffRL
19
58
0
25 Apr 2023
On Accelerating Diffusion-Based Sampling Process via Improved
  Integration Approximation
On Accelerating Diffusion-Based Sampling Process via Improved Integration Approximation
Guoqiang Zhang
Niwa Kenta
W. Kleijn
DiffM
8
8
0
22 Apr 2023
DiffCollage: Parallel Generation of Large Content with Diffusion Models
DiffCollage: Parallel Generation of Large Content with Diffusion Models
Qinsheng Zhang
Jiaming Song
Xun Huang
Yongxin Chen
Ming-Yu Liu
DiffM
27
82
0
30 Mar 2023
Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic
  Analysis For DDIM-Type Samplers
Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-Type Samplers
Sitan Chen
Giannis Daras
A. Dimakis
DiffM
13
62
0
06 Mar 2023
A Complete Recipe for Diffusion Generative Models
A Complete Recipe for Diffusion Generative Models
Kushagra Pandey
Stephan Mandt
DiffM
41
8
0
03 Mar 2023
Unsupervised Discovery of Semantic Latent Directions in Diffusion Models
Unsupervised Discovery of Semantic Latent Directions in Diffusion Models
Yong-Hyun Park
Mingi Kwon
Junghyo Jo
Youngjung Uh
DiffM
28
22
0
24 Feb 2023
Star-Shaped Denoising Diffusion Probabilistic Models
Star-Shaped Denoising Diffusion Probabilistic Models
Andrey Okhotin
Dmitry Molchanov
V. Arkhipkin
Grigory Bartosh
Viktor Ohanesian
Aibek Alanov
Dmitry Vetrov
DiffM
32
12
0
10 Feb 2023
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of
  Diffusion Models
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models
Wenliang Zhao
Lujia Bai
Yongming Rao
Jie Zhou
Jiwen Lu
DiffM
14
198
0
09 Feb 2023
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods
Suttisak Wizadwongsa
Supasorn Suwajanakorn
DiffM
30
12
0
27 Jan 2023
PhysDiff: Physics-Guided Human Motion Diffusion Model
PhysDiff: Physics-Guided Human Motion Diffusion Model
Ye Yuan
Jiaming Song
Umar Iqbal
Arash Vahdat
Jan Kautz
VGen
DiffM
32
235
0
05 Dec 2022
Exploring Discrete Diffusion Models for Image Captioning
Exploring Discrete Diffusion Models for Image Captioning
Zixin Zhu
Yixuan Wei
Jianfeng Wang
Zhe Gan
Zheng-Wei Zhang
Le Wang
G. Hua
Lijuan Wang
Zicheng Liu
Han Hu
DiffM
VLM
23
17
0
21 Nov 2022
Few-shot Image Generation with Diffusion Models
Few-shot Image Generation with Diffusion Models
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
DiffM
30
20
0
07 Nov 2022
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert
  Denoisers
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
Yogesh Balaji
Seungjun Nah
Xun Huang
Arash Vahdat
Jiaming Song
...
Timo Aila
S. Laine
Bryan Catanzaro
Tero Karras
Ming-Yu Liu
VLM
MoE
24
802
0
02 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
39
551
0
02 Nov 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
Flow Straight and Fast: Learning to Generate and Transfer Data with
  Rectified Flow
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Xingchao Liu
Chengyue Gong
Qiang Liu
OOD
30
838
0
07 Sep 2022
A Survey on Generative Diffusion Model
A Survey on Generative Diffusion Model
Hanqun Cao
Cheng Tan
Zhangyang Gao
Yilun Xu
Guangyong Chen
Pheng-Ann Heng
Stan Z. Li
MedIm
37
205
0
06 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
224
1,296
0
02 Sep 2022
Knowledge Distillation in Iterative Generative Models for Improved
  Sampling Speed
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
Eric Luhman
Troy Luhman
DiffM
184
259
0
07 Jan 2021
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