ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2201.06503
  4. Cited By
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in
  Diffusion Probabilistic Models

Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models

17 January 2022
Fan Bao
Chongxuan Li
Jun Zhu
Bo Zhang
    DiffM
ArXivPDFHTML

Papers citing "Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models"

50 / 261 papers shown
Title
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
SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired
  Image-to-Image Translation
SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation
Shikun Sun
Longhui Wei
Junliang Xing
Jia Jia
Qi Tian
DiffM
27
13
0
04 Aug 2023
DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport
DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport
Zezeng Li
Shenghao Li
Zhanpeng Wang
Na Lei
Zhongxuan Luo
Xianfeng Gu
OT
DiffM
23
9
0
21 Jul 2023
Exact Diffusion Inversion via Bi-directional Integration Approximation
Exact Diffusion Inversion via Bi-directional Integration Approximation
Guoqiang Zhang
J. P. Lewis
W. Kleijn
DiffM
37
24
0
10 Jul 2023
Beyond Conservatism: Diffusion Policies in Offline Multi-agent
  Reinforcement Learning
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning
Zhuoran Li
Ling Pan
Longbo Huang
DiffM
OffRL
23
7
0
04 Jul 2023
Spiking Denoising Diffusion Probabilistic Models
Spiking Denoising Diffusion Probabilistic Models
Jiahang Cao
Ziqing Wang
Hanzhong Guo
Haotai Cheng
Qiang Zhang
Renjing Xu
DiffM
22
19
0
29 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
29
9
0
20 Jun 2023
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic
  Models
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
En-hao Liu
Xuefei Ning
Zinan Lin
Huazhong Yang
Yu Wang
49
37
0
15 Jun 2023
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion
  Models
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
Sheng-Yen Chou
Pin-Yu Chen
Tsung-Yi Ho
DiffM
13
53
0
12 Jun 2023
Towards Predicting Equilibrium Distributions for Molecular Systems with
  Deep Learning
Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning
Shuxin Zheng
Jiyan He
Chang-Shu Liu
Yu Shi
Ziheng Lu
...
Peiran Jin
Chi Chen
Frank Noé
Haiguang Liu
Tie-Yan Liu
AI4CE
24
41
0
08 Jun 2023
Non-autoregressive Conditional Diffusion Models for Time Series
  Prediction
Non-autoregressive Conditional Diffusion Models for Time Series Prediction
Lifeng Shen
James Kwok
DiffM
AI4CE
28
47
0
08 Jun 2023
Multi-Architecture Multi-Expert Diffusion Models
Multi-Architecture Multi-Expert Diffusion Models
Yunsung Lee
Jin-Young Kim
Hyojun Go
Myeongho Jeong
Shinhyeok Oh
Seungtaek Choi
DiffM
31
29
0
08 Jun 2023
Interpreting and Improving Diffusion Models from an Optimization
  Perspective
Interpreting and Improving Diffusion Models from an Optimization Perspective
Frank Permenter
Chenyang Yuan
DiffM
19
3
0
08 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey
On the Design Fundamentals of Diffusion Models: A Survey
Ziyi Chang
G. Koulieris
Hubert P. H. Shum
DiffM
29
53
0
07 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
31
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
11
7
0
03 Jun 2023
Unlearnable Examples for Diffusion Models: Protect Data from
  Unauthorized Exploitation
Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation
Zhengyue Zhao
Jinhao Duan
Xingui Hu
Kaidi Xu
Chenan Wang
Rui Zhang
Zidong Du
Qi Guo
Yunji Chen
DiffM
WIGM
28
27
0
02 Jun 2023
DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control
  for Empathetic Response Generation
DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation
Guanqun Bi
Lei Shen
Yanan Cao
Meng Chen
Yuqiang Xie
Zheng Lin
Xiao-feng He
DiffM
29
13
0
02 Jun 2023
Image generation with shortest path diffusion
Image generation with shortest path diffusion
Ayan Das
Stathi Fotiadis
Anil Batra
F. Nabiei
FengTing Liao
Sattar Vakili
Da-shan Shiu
A. Bernacchia
14
8
0
01 Jun 2023
Cones 2: Customizable Image Synthesis with Multiple Subjects
Cones 2: Customizable Image Synthesis with Multiple Subjects
Zhiheng Liu
Yifei Zhang
Yujun Shen
Kecheng Zheng
Kai Zhu
Ruili Feng
Yu Liu
Deli Zhao
Jingren Zhou
Yang Cao
DiffM
63
80
0
30 May 2023
Towards Accurate Post-training Quantization for Diffusion Models
Towards Accurate Post-training Quantization for Diffusion Models
Changyuan Wang
Ziwei Wang
Xiuwei Xu
Yansong Tang
Jie Zhou
Jiwen Lu
MQ
30
21
0
30 May 2023
Aligning Optimization Trajectories with Diffusion Models for Constrained
  Design Generation
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
Giorgio Giannone
Akash Srivastava
Ole Winther
Faez Ahmed
DiffM
AI4CE
31
26
0
29 May 2023
Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain
  Activities
Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities
Jingyuan Sun
Mingxiao Li
Zijiao Chen
Yunhao Zhang
Shaonan Wang
Marie-Francine Moens
DiffM
37
30
0
26 May 2023
ControlVideo: Conditional Control for One-shot Text-driven Video Editing
  and Beyond
ControlVideo: Conditional Control for One-shot Text-driven Video Editing and Beyond
Min Zhao
Rongzheng Wang
Fan Bao
Chongxuan Li
Jun Zhu
VGen
DiffM
21
4
0
26 May 2023
Alleviating Exposure Bias in Diffusion Models through Sampling with
  Shifted Time Steps
Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps
Mingxiao Li
Tingyu Qu
Ruicong Yao
Wei Sun
Marie-Francine Moens
DiffM
36
40
0
24 May 2023
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image
  Super-Resolution
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
Y. Ma
Huan Yang
Wenhan Yang
Jianlong Fu
Jiaying Liu
DiffM
10
7
0
24 May 2023
Robust Classification via a Single Diffusion Model
Robust Classification via a Single Diffusion Model
Huanran Chen
Yinpeng Dong
Zhengyi Wang
X. Yang
Chen-Dong Duan
Hang Su
Jun Zhu
74
56
0
24 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
30
22
0
23 May 2023
Moment Matching Denoising Gibbs Sampling
Moment Matching Denoising Gibbs Sampling
Mingtian Zhang
Alex Hawkins-Hooker
Brooks Paige
David Barber
DiffM
26
3
0
19 May 2023
Catch-Up Distillation: You Only Need to Train Once for Accelerating
  Sampling
Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling
Shitong Shao
Xu Dai
Shouyi Yin
Lujun Li
Huanran Chen
Yang Hu
24
17
0
18 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
30
103
0
18 May 2023
Pyramid Diffusion Models For Low-light Image Enhancement
Pyramid Diffusion Models For Low-light Image Enhancement
Dewei Zhou
Zongxin Yang
Yi Yang
DiffM
32
77
0
17 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
25
58
0
25 Apr 2023
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion
  Models
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
Zhendong Wang
Yi Ding
Huangjie Zheng
Peihao Wang
Pengcheng He
Zhangyang Wang
Weizhu Chen
Mingyuan Zhou
38
97
0
25 Apr 2023
Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation
Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation
Zeyu Lu
Chengyue Wu
Xinyuan Chen
Yaohui Wang
Junlin Wu
Yu Qiao
Xihui Liu
DiffM
29
15
0
24 Apr 2023
Fast Diffusion Probabilistic Model Sampling through the lens of Backward
  Error Analysis
Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis
Yansong Gao
Zhihong Pan
Xiaoxia Zhou
Le Kang
Pratik Chaudhari
DiffM
15
5
0
22 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
15
8
0
22 Apr 2023
Lookahead Diffusion Probabilistic Models for Refining Mean Estimation
Lookahead Diffusion Probabilistic Models for Refining Mean Estimation
Guoqiang Zhang
Niwa Kenta
W. Kleijn
DiffM
19
9
0
22 Apr 2023
Align your Latents: High-Resolution Video Synthesis with Latent
  Diffusion Models
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
A. Blattmann
Robin Rombach
Huan Ling
Tim Dockhorn
Seung Wook Kim
Sanja Fidler
Karsten Kreis
3DGS
VGen
88
1,013
0
18 Apr 2023
Refusion: Enabling Large-Size Realistic Image Restoration with
  Latent-Space Diffusion Models
Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models
Ziwei Luo
Fredrik K. Gustafsson
Zhengli Zhao
Jens Sjölund
Thomas B. Schon
30
100
0
17 Apr 2023
Diffusion models with location-scale noise
Diffusion models with location-scale noise
Alexia Jolicoeur-Martineau
Kilian Fatras
Ke Li
Tal Kachman
DiffM
24
3
0
12 Apr 2023
SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for
  Accelerated MRI
SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI
Zhuoxu Cui
Chentao Cao
Yue Wang
Seng Jia
Jing Cheng
Xin Liu
Hairong Zheng
Dong Liang
Yanjie Zhu
MedIm
DiffM
19
9
0
11 Apr 2023
A Comprehensive Survey on Knowledge Distillation of Diffusion Models
A Comprehensive Survey on Knowledge Distillation of Diffusion Models
Weijian Luo
DiffM
MedIm
52
33
0
09 Apr 2023
A Closer Look at Parameter-Efficient Tuning in Diffusion Models
A Closer Look at Parameter-Efficient Tuning in Diffusion Models
Chendong Xiang
Fan Bao
Chongxuan Li
Hang Su
Jun Zhu
DiffM
14
16
0
31 Mar 2023
LayoutDiffusion: Controllable Diffusion Model for Layout-to-image
  Generation
LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation
Guangcong Zheng
Xianpan Zhou
Xuewei Li
Zhongang Qi
Ying Shan
Xi Li
DiffM
30
171
0
30 Mar 2023
A Recipe for Watermarking Diffusion Models
A Recipe for Watermarking Diffusion Models
Yunqing Zhao
Tianyu Pang
Chao Du
Xiao Yang
Ngai-man Cheung
Min-Bin Lin
WIGM
21
115
0
17 Mar 2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
Fan Bao
Shen Nie
Kaiwen Xue
Chongxuan Li
Shiliang Pu
Yaole Wang
Gang Yue
Yue Cao
Hang Su
Jun Zhu
DiffM
207
149
0
12 Mar 2023
TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets
TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets
Weixin Chen
D. Song
Bo-wen Li
DiffM
26
74
0
10 Mar 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of
  Generative AI from GAN to ChatGPT
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
29
507
0
07 Mar 2023
A Complete Recipe for Diffusion Generative Models
A Complete Recipe for Diffusion Generative Models
Kushagra Pandey
Stephan Mandt
DiffM
43
8
0
03 Mar 2023
Previous
123456
Next