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Learning Fast Samplers for Diffusion Models by Differentiating Through
  Sample Quality

Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality

11 February 2022
Daniel Watson
William Chan
Jonathan Ho
Mohammad Norouzi
    DiffM
    BDL
ArXivPDFHTML

Papers citing "Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality"

50 / 140 papers shown
Title
Enhanced Distribution Alignment for Post-Training Quantization of
  Diffusion Models
Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models
Xuewen Liu
Zhikai Li
Junrui Xiao
Qingyi Gu
MQ
34
13
0
09 Jan 2024
S$^{2}$-DMs:Skip-Step Diffusion Models
S2^{2}2-DMs:Skip-Step Diffusion Models
Yixuan Wang
Shuangyin Li
31
0
0
03 Jan 2024
Diffusion Models, Image Super-Resolution And Everything: A Survey
Diffusion Models, Image Super-Resolution And Everything: A Survey
Brian B. Moser
Arundhati S. Shanbhag
Federico Raue
Stanislav Frolov
Sebastián M. Palacio
Andreas Dengel
26
35
0
01 Jan 2024
On Inference Stability for Diffusion Models
On Inference Stability for Diffusion Models
Viet Anh Nguyen
Giang Vu
Tung Nguyen Thanh
Khoat Than
Toan M. Tran
18
1
0
19 Dec 2023
Cache Me if You Can: Accelerating Diffusion Models through Block Caching
Cache Me if You Can: Accelerating Diffusion Models through Block Caching
Felix Wimbauer
Bichen Wu
Edgar Schoenfeld
Xiaoliang Dai
Ji Hou
...
Jonas Kohler
Christian Rupprecht
Daniel Cremers
Peter Vajda
Jialiang Wang
DiffM
38
58
0
06 Dec 2023
Fast ODE-based Sampling for Diffusion Models in Around 5 Steps
Fast ODE-based Sampling for Diffusion Models in Around 5 Steps
Zhenyu Zhou
Defang Chen
Can Wang
Chun-Yen Chen
DiffM
32
44
0
30 Nov 2023
Improved DDIM Sampling with Moment Matching Gaussian Mixtures
Improved DDIM Sampling with Moment Matching Gaussian Mixtures
Prasad Gabbur
DiffM
30
1
0
08 Nov 2023
I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion
  Models
I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models
Shiwei Zhang
Jiayu Wang
Yingya Zhang
Kang Zhao
Hangjie Yuan
Zhanyue Qin
Xiang Wang
Deli Zhao
Jingren Zhou
DiffM
VGen
46
200
0
07 Nov 2023
Improving the Effectiveness of Deep Generative Data
Improving the Effectiveness of Deep Generative Data
Ruyu Wang
Sabrina Schmedding
Marco F. Huber
DiffM
35
3
0
07 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
24
3
0
31 Oct 2023
Bespoke Solvers for Generative Flow Models
Bespoke Solvers for Generative Flow Models
Neta Shaul
Juan C. Pérez
Ricky T. Q. Chen
Ali K. Thabet
Albert Pumarola
Y. Lipman
31
23
0
29 Oct 2023
Purify++: Improving Diffusion-Purification with Advanced Diffusion
  Models and Control of Randomness
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness
Boya Zhang
Weijian Luo
Zhihua Zhang
34
10
0
28 Oct 2023
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model
  Statistics
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics
Kaiwen Zheng
Cheng Lu
Jianfei Chen
Jun Zhu
DiffM
32
75
0
20 Oct 2023
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still
  Easy To Generate Unsafe Images ... For Now
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
Yimeng Zhang
Jinghan Jia
Xin Chen
Aochuan Chen
Yihua Zhang
Jiancheng Liu
Ke Ding
Sijia Liu
DiffM
22
83
0
18 Oct 2023
Observation-Guided Diffusion Probabilistic Models
Observation-Guided Diffusion Probabilistic Models
Junoh Kang
Jinyoung Choi
Sungik Choi
Bohyung Han
37
1
0
06 Oct 2023
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
Amita Gajewar
Paul Vicol
G. Bansal
David J Fleet
30
149
0
29 Sep 2023
AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive
  Computation
AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive Computation
Shengkun Tang
Yaqing Wang
Maksim Dzhigil
Yi Liang
Heng Chang
Dongkuan Xu
40
5
0
29 Sep 2023
Distilling ODE Solvers of Diffusion Models into Smaller Steps
Distilling ODE Solvers of Diffusion Models into Smaller Steps
Sanghwan Kim
Hao Tang
Fisher Yu
28
3
0
28 Sep 2023
AutoDiffusion: Training-Free Optimization of Time Steps and
  Architectures for Automated Diffusion Model Acceleration
AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration
Lijiang Li
Huixia Li
Xiawu Zheng
Jie Wu
Xuefeng Xiao
Rui Wang
Min Zheng
Xin Pan
Rongrong Ji
Rongrong Ji
88
35
0
19 Sep 2023
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
Shuchen Xue
Mingyang Yi
Weijian Luo
Shifeng Zhang
Jiacheng Sun
Zechao Li
Zhi-Ming Ma
DiffM
42
49
0
10 Sep 2023
APLA: Additional Perturbation for Latent Noise with Adversarial Training
  Enables Consistency
APLA: Additional Perturbation for Latent Noise with Adversarial Training Enables Consistency
Yupu Yao
Shangqi Deng
Zihan Cao
Harry Zhang
Liang-Jian Deng
DiffM
36
14
0
24 Aug 2023
Bayesian Flow Networks
Bayesian Flow Networks
Alex Graves
R. Srivastava
Timothy James Atkinson
Faustino J. Gomez
BDL
38
43
0
14 Aug 2023
ModelScope Text-to-Video Technical Report
ModelScope Text-to-Video Technical Report
Jiuniu Wang
Hangjie Yuan
Dayou Chen
Yingya Zhang
Xiang Wang
Shiwei Zhang
VGen
DiffM
33
392
0
12 Aug 2023
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
Phillip Lippe
Bastiaan S. Veeling
P. Perdikaris
Richard Turner
Johannes Brandstetter
DiffM
AI4CE
33
77
0
10 Aug 2023
HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise
  Estimation
HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise Estimation
Jinbo Wu
Xiaobo Gao
Xing Liu
Zhengyang Shen
Chen Zhao
Haocheng Feng
Jingtuo Liu
Errui Ding
DiffM
10
24
0
30 Jul 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
29
9
0
21 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
51
2
0
20 Jul 2023
Exposing the Fake: Effective Diffusion-Generated Images Detection
Exposing the Fake: Effective Diffusion-Generated Images Detection
Ruipeng Ma
Jinhao Duan
Fei Kong
Xiaoshuang Shi
Kaidi Xu
DiffM
22
30
0
12 Jul 2023
Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality
P. Lorenz
Ricard Durall
J. Keuper
DiffM
70
34
0
05 Jul 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
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
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
54
0
07 Jun 2023
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two
  Seconds
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
Yanyu Li
Huan Wang
Qing Jin
Ju Hu
Pavlo Chemerys
Yun Fu
Yanzhi Wang
Sergey Tulyakov
Jian Ren
VLM
29
152
0
01 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
22
8
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
38
14
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
Diff-Instruct: A Universal Approach for Transferring Knowledge From
  Pre-trained Diffusion Models
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
Weijian Luo
Tianyang Hu
Shifeng Zhang
Jiacheng Sun
Zhenguo Li
Zhihua Zhang
35
107
0
29 May 2023
Parallel Sampling of Diffusion Models
Parallel Sampling of Diffusion Models
Andy Shih
Suneel Belkhale
Stefano Ermon
Dorsa Sadigh
Nima Anari
DiffM
31
50
0
25 May 2023
Look Ma, No Hands! Agent-Environment Factorization of Egocentric Videos
Look Ma, No Hands! Agent-Environment Factorization of Egocentric Videos
Matthew Chang
Aditya Prakash
Saurabh Gupta
DiffM
37
17
0
25 May 2023
UDPM: Upsampling Diffusion Probabilistic Models
UDPM: Upsampling Diffusion Probabilistic Models
Shady Abu Hussein
Raja Giryes
DiffM
38
1
0
25 May 2023
Optimal Linear Subspace Search: Learning to Construct Fast and
  High-Quality Schedulers for Diffusion Models
Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models
Zhongjie Duan
Chengyu Wang
Cen Chen
Jun Huang
Weining Qian
DiffM
27
12
0
24 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
Null-text Guidance in Diffusion Models is Secretly a Cartoon-style
  Creator
Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator
Jing Zhao
Heliang Zheng
Chaoyue Wang
Long Lan
Wanrong Huang
Wenjing Yang
DiffM
41
10
0
11 May 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
23
5
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
115
1,016
0
18 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
Training-free Content Injection using h-space in Diffusion Models
Training-free Content Injection using h-space in Diffusion Models
Jaeseok Jeong
Mingi Kwon
Youngjung Uh
DiffM
26
24
0
27 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
35
508
0
07 Mar 2023
$PC^2$: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D
  Reconstruction
PC2PC^2PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction
Luke Melas-Kyriazi
Christian Rupprecht
Andrea Vedaldi
DiffM
56
80
0
21 Feb 2023
RealFusion: 360° Reconstruction of Any Object from a Single Image
RealFusion: 360° Reconstruction of Any Object from a Single Image
Luke Melas-Kyriazi
Christian Rupprecht
Iro Laina
Andrea Vedaldi
104
291
0
21 Feb 2023
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