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You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts

You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts

12 May 2025
Hongkun Dou
Zeyu Li
Xingyu Jiang
Haoyang Li
Lijun Yang
Wen Yao
Yue Deng
    DiffM
ArXivPDFHTML

Papers citing "You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts"

26 / 76 papers shown
Title
FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN
  Space Optimization
FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization
Xingchao Liu
Chengyue Gong
Lemeng Wu
Shujian Zhang
Haoran Su
Qiang Liu
CLIP
65
90
0
02 Dec 2021
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image
  Manipulation
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation
Gwanghyun Kim
Taesung Kwon
Jong Chul Ye
DiffM
157
644
0
06 Oct 2021
Is Attention Better Than Matrix Decomposition?
Is Attention Better Than Matrix Decomposition?
Zhengyang Geng
Meng-Hao Guo
Hongxu Chen
Xia Li
Ke Wei
Zhouchen Lin
93
140
0
09 Sep 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRL
AI4TS
AI4CE
ALM
AIMat
371
10,273
0
17 Jun 2021
Efficient and Modular Implicit Differentiation
Efficient and Modular Implicit Differentiation
Mathieu Blondel
Quentin Berthet
Marco Cuturi
Roy Frostig
Stephan Hoyer
Felipe Llinares-López
Fabian Pedregosa
Jean-Philippe Vert
41
230
0
31 May 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
181
7,765
0
11 May 2021
JFB: Jacobian-Free Backpropagation for Implicit Networks
JFB: Jacobian-Free Backpropagation for Implicit Networks
Samy Wu Fung
Howard Heaton
Qiuwei Li
Daniel McKenzie
Stanley Osher
W. Yin
FedML
86
84
0
23 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
820
29,167
0
26 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
294
6,409
0
26 Nov 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
213
7,294
0
06 Oct 2020
Learning to summarize from human feedback
Learning to summarize from human feedback
Nisan Stiennon
Long Ouyang
Jeff Wu
Daniel M. Ziegler
Ryan J. Lowe
Chelsea Voss
Alec Radford
Dario Amodei
Paul Christiano
ALM
218
2,124
0
02 Sep 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
505
17,888
0
19 Jun 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
384
42,299
0
03 Dec 2019
Optimizing Millions of Hyperparameters by Implicit Differentiation
Optimizing Millions of Hyperparameters by Implicit Differentiation
Jonathan Lorraine
Paul Vicol
David Duvenaud
DD
104
414
0
06 Nov 2019
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
452
1,717
0
18 Sep 2019
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
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
529
10,540
0
12 Dec 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
327
11,734
0
11 Jan 2018
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
118
7,339
0
27 Oct 2017
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
248
3,693
0
26 May 2016
Training Deep Nets with Sublinear Memory Cost
Training Deep Nets with Sublinear Memory Cost
Tianqi Chen
Bing Xu
Chiyuan Zhang
Carlos Guestrin
98
1,165
0
21 Apr 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
218
10,230
0
27 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.0K
193,426
0
10 Dec 2015
Large-scale Classification of Fine-Art Paintings: Learning The Right
  Metric on The Right Feature
Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature
Babak Saleh
Ahmed Elgammal
59
289
0
05 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.5K
149,842
0
22 Dec 2014
NICE: Non-linear Independent Components Estimation
NICE: Non-linear Independent Components Estimation
Laurent Dinh
David M. Krueger
Yoshua Bengio
DRL
BDL
121
2,257
0
30 Oct 2014
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