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AdjointDEIS: Efficient Gradients for Diffusion Models

23 May 2024

Zander W. Blasingame

Chen Liu

DiffM

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Papers citing "AdjointDEIS: Efficient Gradients for Diffusion Models"

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Title
Efficiently Access Diffusion Fisher: Within the Outer Product Span Space Fangyikang Wang Hubery Yin Shaobin Zhuang Huminhao Zhu Yinan Li Lei Qian Chao Zhang Hanbin Zhao Hui Qian Chen Li 48 1 0 29 May 2025
You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts Hongkun Dou Zeyu Li Xingyu Jiang Haoyang Li Lijun Yang Wen Yao Yue Deng DiffM 234 0 0 12 May 2025
Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models Yingqing Guo Yukang Yang Hui Yuan Mengdi Wang 90 3 0 17 Feb 2025
A Reversible Solver for Diffusion SDEs Zander W. Blasingame Chen Liu DiffM 128 0 0 12 Feb 2025
Pictures Of MIDI: Controlled Music Generation via Graphical Prompts for Image-Based Diffusion Inpainting Scott H. Hawley 83 2 0 01 Jul 2024
Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs Zander W. Blasingame Chen Liu 100 6 0 09 Apr 2024
Implicit Diffusion: Efficient Optimization through Stochastic Sampling Pierre Marion Anna Korba Peter Bartlett Mathieu Blondel Valentin De Bortoli Arnaud Doucet Felipe Llinares-López Courtney Paquette Quentin Berthet 154 15 0 08 Feb 2024
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 132 43 0 02 Nov 2023
Fast-DiM: Towards Fast Diffusion Morphs Zander W. Blasingame Chen Liu 83 3 0 14 Oct 2023
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models Jiachun Pan Jun Hao Liew Vincent Y. F. Tan Jiashi Feng Hanshu Yan DiffM 102 12 0 20 Jul 2023
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 101 26 0 23 May 2023
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 241 1,106 0 18 Apr 2023
End-to-End Diffusion Latent Optimization Improves Classifier Guidance Bram Wallace Akash Gokul Stefano Ermon Nikhil Naik 193 80 0 23 Mar 2023
FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model Jiwen Yu Yinhuai Wang Chen Zhao Guohao Li Jian Zhang DiffM 81 190 0 17 Mar 2023
Consistency Models Yang Song Prafulla Dhariwal Mark Chen Ilya Sutskever VLM DiffM 117 982 0 02 Mar 2023
Universal Guidance for Diffusion Models Arpit Bansal Hong-Min Chu Avi Schwarzschild Soumyadip Sengupta Micah Goldblum Jonas Geiping Tom Goldstein VLM 109 277 0 14 Feb 2023
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models Haohe Liu Zehua Chen Yiitan Yuan Xinhao Mei Xubo Liu Danilo Mandic Wenwu Wang Mark D. Plumbley DiffM 177 509 0 29 Jan 2023
Leveraging Diffusion For Strong and High Quality Face Morphing Attacks Zander W. Blasingame Chen Liu DiffM 89 14 0 10 Jan 2023
EDICT: Exact Diffusion Inversion via Coupled Transformations Bram Wallace Akash Gokul Nikhil Naik DiffM 96 188 0 22 Nov 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 247 616 0 02 Nov 2022
Flow Matching for Generative Modeling Y. Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le OOD 225 1,391 0 06 Oct 2022
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation Nataniel Ruiz Yuanzhen Li Varun Jampani Yael Pritch Michael Rubinstein Kfir Aberman 300 2,904 0 25 Aug 2022
SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data Marco Huber Fadi Boutros An Luu Kiran Raja Raghavendra Ramachandra ... Marija Ivanovska Borut Batagelj Andrej Kronovvsek Peter Peer Vitomir vStruc CVBM 77 29 0 15 Aug 2022
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion Rinon Gal Yuval Alaluf Yuval Atzmon Or Patashnik Amit H. Bermano Gal Chechik Daniel Cohen-Or 176 1,903 0 02 Aug 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 204 3,981 0 26 Jul 2022
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 278 1,472 0 02 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras M. Aittala Timo Aila S. Laine DiffM 274 2,035 0 01 Jun 2022
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 494 6,102 0 23 May 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 278 455 0 16 May 2022
Are GAN-based Morphs Threatening Face Recognition? Eklavya Sarkar Pavel Korshunov Laurent Colbois S´ebastien Marcel CVBM 70 39 0 05 May 2022
Fast Sampling of Diffusion Models with Exponential Integrator Qinsheng Zhang Yongxin Chen DiffM 114 439 0 29 Apr 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 478 6,941 0 13 Apr 2022
AdaFace: Quality Adaptive Margin for Face Recognition Minchul Kim Anil K. Jain Xiaoming Liu CVBM 118 408 0 03 Apr 2022
On Neural Differential Equations Patrick Kidger OOD PINN 91 294 0 04 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 583 15,840 0 20 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation Konpat Preechakul Nattanat Chatthee Suttisak Wizadwongsa Supasorn Suwajanakorn SyDa DiffM 127 434 0 30 Nov 2021
ElasticFace: Elastic Margin Loss for Deep Face Recognition Fadi Boutros Naser Damer Florian Kirchbuchner Arjan Kuijper CVBM 100 222 0 20 Sep 2021
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations Chenlin Meng Yutong He Yang Song Jiaming Song Jiajun Wu Jun-Yan Zhu Stefano Ermon DiffM 176 1,510 0 02 Aug 2021
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 621 10,625 0 17 Jun 2021
Efficient and Accurate Gradients for Neural SDEs Patrick Kidger James Foster Xuechen Li Terry Lyons DiffM 113 66 0 27 May 2021
Stiff Neural Ordinary Differential Equations Suyong Kim Weiqi Ji Sili Deng Yingbo Ma Chris Rackauckas AI4CE 92 152 0 29 Mar 2021
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 473 6,599 0 26 Nov 2020
Partial FC: Training 10 Million Identities on a Single Machine Xiang An Xuhan Zhu Yanghua Xiao Lan Wu Ming Zhang Yuan Gao Bin Qin Debing Zhang Ying Fu CVBM 121 219 0 11 Oct 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 323 7,525 0 06 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 943 18,496 0 19 Jun 2020
Neural Controlled Differential Equations for Irregular Time Series Patrick Kidger James Morrill James Foster Terry Lyons AI4TS 133 483 0 18 May 2020
Improved Residual Networks for Image and Video Recognition Ionut Cosmin Duta Li Liu Fan Zhu Ling Shao SSeg AI4TS 61 173 0 10 Apr 2020
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 377 5,845 0 03 Dec 2019
Image2StyleGAN++: How to Edit the Embedded Images? Rameen Abdal Yipeng Qin Peter Wonka 107 557 0 26 Nov 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 268 3,971 0 12 Jul 2019