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Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models

Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models

3 October 2024
Seyedmorteza Sadat
Otmar Hilliges
Romann M. Weber
    DiffM
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Papers citing "Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models"

46 / 46 papers shown
Title
Gaussian Mixture Flow Matching Models
Gaussian Mixture Flow Matching Models
Hansheng Chen
Kai Zhang
Hao Tan
Zexiang Xu
Fujun Luan
Leonidas Guibas
Gordon Wetzstein
Sai Bi
DiffM
100
2
0
07 Apr 2025
No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models
No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models
Seyedmorteza Sadat
Manuel Kansy
Otmar Hilliges
Romann M. Weber
58
12
0
02 Jul 2024
Applying Guidance in a Limited Interval Improves Sample and Distribution
  Quality in Diffusion Models
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models
Tuomas Kynkaanniemi
M. Aittala
Tero Karras
S. Laine
Timo Aila
J. Lehtinen
35
71
0
11 Apr 2024
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Patrick Esser
Sumith Kulal
A. Blattmann
Rahim Entezari
Jonas Muller
...
Zion English
Kyle Lacey
Alex Goodwin
Yannik Marek
Robin Rombach
DiffM
244
1,279
0
05 Mar 2024
SDXL-Lightning: Progressive Adversarial Diffusion Distillation
SDXL-Lightning: Progressive Adversarial Diffusion Distillation
Shanchuan Lin
Anran Wang
Xiao Yang
51
127
0
21 Feb 2024
PIXART-δ: Fast and Controllable Image Generation with Latent
  Consistency Models
PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models
Junsong Chen
Yue Wu
Simian Luo
Enze Xie
Sayak Paul
Ping Luo
Hang Zhao
Zhenguo Li
VLM
59
81
0
10 Jan 2024
Photorealistic Video Generation with Diffusion Models
Photorealistic Video Generation with Diffusion Models
Agrim Gupta
Lijun Yu
Kihyuk Sohn
Xiuye Gu
Meera Hahn
Fei-Fei Li
Irfan Essa
Lu Jiang
José Lezama
VGen
83
190
0
11 Dec 2023
Characteristic Guidance: Non-linear Correction for Diffusion Model at
  Large Guidance Scale
Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale
Candi Zheng
Yuan Lan
DiffM
57
6
0
11 Dec 2023
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large
  Datasets
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
A. Blattmann
Tim Dockhorn
Sumith Kulal
Daniel Mendelevitch
Maciej Kilian
...
Zion English
Vikram S. Voleti
Adam Letts
Varun Jampani
Robin Rombach
VGen
228
1,129
0
25 Nov 2023
CADS: Unleashing the Diversity of Diffusion Models through
  Condition-Annealed Sampling
CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling
Seyedmorteza Sadat
Jakob Buhmann
Derek Bradley
Otmar Hilliges
Romann M. Weber
DiffM
57
44
0
26 Oct 2023
SDXL: Improving Latent Diffusion Models for High-Resolution Image
  Synthesis
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Dustin Podell
Zion English
Kyle Lacey
A. Blattmann
Tim Dockhorn
Jonas Muller
Joe Penna
Robin Rombach
198
2,331
0
04 Jul 2023
Common Diffusion Noise Schedules and Sample Steps are Flawed
Common Diffusion Noise Schedules and Sample Steps are Flawed
Shanchuan Lin
Bingchen Liu
Jiashi Li
Xiao Yang
DiffM
63
215
0
15 May 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
170
1,062
0
18 Apr 2023
Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into
  3D, alleviate Janus problem and Beyond
Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond
Mohammadreza Armandpour
A. Sadeghian
Huangjie Zheng
Amir Sadeghian
Mingyuan Zhou
DiffM
32
126
0
11 Apr 2023
I$^2$SB: Image-to-Image Schrödinger Bridge
I2^22SB: Image-to-Image Schrödinger Bridge
Guan-Horng Liu
Arash Vahdat
De-An Huang
Evangelos A. Theodorou
Weili Nie
Anima Anandkumar
DiffM
57
147
0
12 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
63
216
0
09 Feb 2023
Noise2Music: Text-conditioned Music Generation with Diffusion Models
Noise2Music: Text-conditioned Music Generation with Diffusion Models
Qingqing Huang
Daniel S. Park
Tao Wang
Timo I. Denk
Andy Ly
...
Jesse Engel
Quoc V. Le
William Chan
Zhifeng Chen
Wei Han
MGen
DiffM
63
199
0
08 Feb 2023
Simple diffusion: End-to-end diffusion for high resolution images
Simple diffusion: End-to-end diffusion for high resolution images
Emiel Hoogeboom
Jonathan Heek
Tim Salimans
82
259
0
26 Jan 2023
Scalable Diffusion Models with Transformers
Scalable Diffusion Models with Transformers
William S. Peebles
Saining Xie
GNN
77
2,275
0
19 Dec 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
Xuan Li
VLM
MoE
150
825
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
133
587
0
02 Nov 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
166
988
0
07 Sep 2022
Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
147
3,858
0
26 Jul 2022
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Jiahui Yu
Yuanzhong Xu
Jing Yu Koh
Thang Luong
Gunjan Baid
...
Zarana Parekh
Xin Li
Han Zhang
Jason Baldridge
Yonghui Wu
EGVM
176
1,110
0
22 Jun 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling
  in Around 10 Steps
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
Cheng Lu
Yuhao Zhou
Fan Bao
Jianfei Chen
Chongxuan Li
Jun Zhu
DiffM
174
1,403
0
02 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras
M. Aittala
Timo Aila
S. Laine
DiffM
156
1,952
0
01 Jun 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language
  Understanding
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia
William Chan
Saurabh Saxena
Lala Li
Jay Whang
...
Raphael Gontijo-Lopes
Tim Salimans
Jonathan Ho
David J Fleet
Mohammad Norouzi
VLM
350
5,978
0
23 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLM
DiffM
339
6,830
0
13 Apr 2022
Pseudo Numerical Methods for Diffusion Models on Manifolds
Pseudo Numerical Methods for Diffusion Models on Manifolds
Luping Liu
Yi Ren
Zhijie Lin
Zhou Zhao
DiffM
90
644
0
20 Feb 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
351
15,373
0
20 Dec 2021
GLIDE: Towards Photorealistic Image Generation and Editing with
  Text-Guided Diffusion Models
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Alex Nichol
Prafulla Dhariwal
Aditya A. Ramesh
Pranav Shyam
Pamela Mishkin
Bob McGrew
Ilya Sutskever
Mark Chen
286
3,582
0
20 Dec 2021
Ethics and Creativity in Computer Vision
Ethics and Creativity in Computer Vision
Negar Rostamzadeh
Emily L. Denton
Linda Petrini
62
19
0
06 Dec 2021
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffM
VLM
469
1,627
0
10 Nov 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
178
7,765
0
11 May 2021
Improved Denoising Diffusion Probabilistic Models
Improved Denoising Diffusion Probabilistic Models
Alex Nichol
Prafulla Dhariwal
DiffM
285
3,648
0
18 Feb 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffM
SyDa
292
6,409
0
26 Nov 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
208
7,294
0
06 Oct 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis
DiffWave: A Versatile Diffusion Model for Audio Synthesis
Zhifeng Kong
Ming-Yu Liu
Jiaji Huang
Kexin Zhao
Bryan Catanzaro
DiffM
BDL
110
1,449
0
21 Sep 2020
WaveGrad: Estimating Gradients for Waveform Generation
WaveGrad: Estimating Gradients for Waveform Generation
Nanxin Chen
Yu Zhang
Heiga Zen
Ron J. Weiss
Mohammad Norouzi
William Chan
DiffM
BDL
62
791
0
02 Sep 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
482
17,888
0
19 Jun 2020
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDa
DiffM
213
3,870
0
12 Jul 2019
Improved Precision and Recall Metric for Assessing Generative Models
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkaanniemi
Tero Karras
S. Laine
J. Lehtinen
Timo Aila
EGVM
95
858
0
15 Apr 2019
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
237
5,381
0
28 Sep 2018
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDa
DiffM
252
6,887
0
12 Mar 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.4K
39,472
0
01 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
371
43,524
0
01 May 2014
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