Score-Based Generative Modeling through Stochastic Differential Equations

26 November 2020

Yang Song

Jascha Narain Sohl-Dickstein

Papers citing "Score-Based Generative Modeling through Stochastic Differential Equations"

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Title
Multi-modal Machine Learning in Engineering Design: A Review and Future Directions Binyang Song Ruilin Zhou Faez Ahmed AI4CE 42 40 0 14 Feb 2023
3D-aware Blending with Generative NeRFs Hyunsung Kim Gayoung Lee Yunjey Choi Jin-Hwa Kim Jun-Yan Zhu 31 12 0 13 Feb 2023
Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action Zhiye Guo Jian Liu Yanli Wang Mengrui Chen Duolin Wang Dong Xu Jianlin Cheng MedIm AI4CE DiffM 51 22 0 13 Feb 2023
Preconditioned Score-based Generative Models He Ma Xiatian Zhu Xiatian Zhu Jianfeng Feng DiffM 48 5 0 13 Feb 2023
Single Motion Diffusion Sigal Raab Inbal Leibovitch Guy Tevet Moab Arar Amit H. Bermano Daniel Cohen-Or DiffM VGen 40 57 0 12 Feb 2023
I $^2$ SB: Image-to-Image Schrödinger Bridge Guan-Horng Liu Arash Vahdat De-An Huang Evangelos A. Theodorou Weili Nie Anima Anandkumar DiffM 38 137 0 12 Feb 2023
A Reparameterized Discrete Diffusion Model for Text Generation Lin Zheng Jianbo Yuan Lei Yu Lingpeng Kong DiffM 41 57 0 11 Feb 2023
Adding Conditional Control to Text-to-Image Diffusion Models Lvmin Zhang Anyi Rao Maneesh Agrawala AI4CE 29 3,912 1 10 Feb 2023
Star-Shaped Denoising Diffusion Probabilistic Models Andrey Okhotin Dmitry Molchanov V. Arkhipkin Grigory Bartosh Viktor Ohanesian Aibek Alanov Dmitry Vetrov DiffM 45 12 0 10 Feb 2023
The Monge Gap: A Regularizer to Learn All Transport Maps Théo Uscidda Marco Cuturi OT 55 27 0 09 Feb 2023
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models Wenliang Zhao Lujia Bai Yongming Rao Jie Zhou Jiwen Lu DiffM 27 201 0 09 Feb 2023
Thermodynamic AI and the fluctuation frontier Patrick J. Coles Collin Szczepanski Denis Melanson Kaelan Donatella Antonio J. Martinez Faris M. Sbahi AI4CE 45 16 0 09 Feb 2023
Better Diffusion Models Further Improve Adversarial Training Zekai Wang Tianyu Pang Chao Du Min Lin Weiwei Liu Shuicheng Yan DiffM 31 211 0 09 Feb 2023
A Text-guided Protein Design Framework Shengchao Liu Yanjing Li Zhuoxinran Li A. Gitter Yutao Zhu ... Arvind Ramanathan Chaowei Xiao Jian Tang Hongyu Guo Anima Anandkumar 70 61 0 09 Feb 2023
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples Chumeng Liang Xiaoyu Wu Yang Hua Jiaru Zhang Yiming Xue Tao Song Zhengui Xue Ruhui Ma Haibing Guan DiffM WIGM 24 118 0 09 Feb 2023
ERNIE-Music: Text-to-Waveform Music Generation with Diffusion Models Peng Fei Zhu Chao Pang Yekun Chai Lei Li Shuohuan Wang Yu Sun Hao Tian Hua Wu DiffM 19 20 0 09 Feb 2023
Geometry of Score Based Generative Models S. Ghimire Jinyang Liu Armand Comas Massague Davin Hill A. Masoomi Mario Sznaier Jennifer Dy DiffM 40 8 0 09 Feb 2023
MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model Huan He Shifan Zhao Yuanzhe Xi Joyce C. Ho MedIm DiffM 33 24 0 08 Feb 2023
Q-Diffusion: Quantizing Diffusion Models Xiuyu Li Yijia Liu Long Lian Hua Yang Zhen Dong Daniel Kang Shanghang Zhang Kurt Keutzer DiffM MQ 55 157 0 08 Feb 2023
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models Yilun Xu Ziming Liu Yonglong Tian Shangyuan Tong Max Tegmark Tommi Jaakkola AI4CE DiffM 33 65 0 08 Feb 2023
Machine Learning for Synthetic Data Generation: A Review Ying-Cheng Lu Minjie Shen Huazheng Wang Xiao Wang Capucine Van Rechem Tianfan Fu Wenqi Wei SyDa 52 141 0 08 Feb 2023
Information-Theoretic Diffusion Xianghao Kong Rob Brekelmans Greg Ver Steeg DiffM 22 14 0 07 Feb 2023
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control Jacopo Teneggi Matthew Tivnan J. W. Stayman Jeremias Sulam DiffM 40 28 0 07 Feb 2023
GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion Alex Tseng N. Diamant Tommaso Biancalani Gabriele Scalia DiffM 27 5 0 07 Feb 2023
Analyzing the Performance of Deep Encoder-Decoder Networks as Surrogates for a Diffusion Equation J. Q. Toledo-Marín J. Glazier Geoffrey C. Fox 35 4 0 07 Feb 2023
Flow Matching on General Geometries Ricky T. Q. Chen Y. Lipman AI4CE 34 68 0 07 Feb 2023
Graph Generation with Diffusion Mixture Jaehyeong Jo Dongki Kim Sung Ju Hwang DiffM 34 21 0 07 Feb 2023
Zero-shot Image-to-Image Translation Gaurav Parmar Krishna Kumar Singh Richard Y. Zhang Yijun Li Jingwan Lu Jun-Yan Zhu DiffM 24 431 0 06 Feb 2023
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference Pablo Lemos A. Coogan Y. Hezaveh Laurence Perreault Levasseur 45 31 0 06 Feb 2023
DDM $^2$ : Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models Tiange Xiang Mahmut Yurt Ali B. Syed Kawin Setsompop Akshay S. Chaudhari MedIm DiffM 40 54 0 06 Feb 2023
Structure and Content-Guided Video Synthesis with Diffusion Models Patrick Esser Johnathan Chiu Parmida Atighehchian Jonathan Granskog Anastasis Germanidis DiffM VGen 99 509 0 06 Feb 2023
Generative Diffusion Models on Graphs: Methods and Applications Junfeng Fang Wenqi Fan Yunqing Liu Jiatong Li Hang Li Hui Liu Jiliang Tang Qing Li MedIm DiffM 34 58 0 06 Feb 2023
Mixture of Diffusers for scene composition and high resolution image generation Á. Jiménez DiffM 24 45 0 05 Feb 2023
Diffusion Model for Generative Image Denoising Yutong Xie Minne Yuan Bin Dong Quanzheng Li DiffM 33 33 0 05 Feb 2023
Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion Zuopeng Yang Tianshu Chu Xin Lin Erdun Gao Daqing Liu J. Yang Chaoyue Wang DiffM 39 16 0 05 Feb 2023
ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories Zijian Zhang Zhou Zhao Jun Yu Qi Tian DiffM 22 13 0 05 Feb 2023
Using Intermediate Forward Iterates for Intermediate Generator Optimization Harshit Mishra Jurijs Nazarovs Manmohan Dogra Sathya Ravi DiffM 27 0 0 05 Feb 2023
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval Kexun Zhang Xianjun Yang William Yang Wang Lei Li DiffM 58 8 0 05 Feb 2023
Design Booster: A Text-Guided Diffusion Model for Image Translation with Spatial Layout Preservation Shiqi Sun Shancheng Fang Qian He Wei Liu DiffM 33 3 0 05 Feb 2023
SE(3) diffusion model with application to protein backbone generation Jason Yim Brian L. Trippe Valentin De Bortoli Emile Mathieu Arnaud Doucet Regina Barzilay Tommi Jaakkola DiffM 28 199 0 05 Feb 2023
Divide and Compose with Score Based Generative Models S. Ghimire Armand Comas Davin Hill A. Masoomi Mario Sznaier Jennifer Dy DiffM 27 0 0 05 Feb 2023
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation Giorgio Mariani Irene Tallini Emilian Postolache Michele Mancusi Luca Cosmo Emanuele Rodolà DiffM 32 38 0 04 Feb 2023
A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization Yasong Feng Weijian Luo Yimin Huang Tianyu Wang 26 8 0 03 Feb 2023
Energy-Inspired Self-Supervised Pretraining for Vision Models Ze Wang Jiang Wang Zicheng Liu Qiang Qiu 26 8 0 02 Feb 2023
Are Diffusion Models Vulnerable to Membership Inference Attacks? Jinhao Duan Fei Kong Shiqi Wang Xiaoshuang Shi Kaidi Xu 35 109 0 02 Feb 2023
A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models Litu Rout Advait Parulekar Constantine Caramanis Sanjay Shakkottai DiffM 42 60 0 02 Feb 2023
MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows Mingxuan Yi Zhanxing Zhu Song Liu GAN 32 14 0 02 Feb 2023
QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models Xiangming Meng Y. Kabashima 47 1 0 02 Feb 2023
Stable Target Field for Reduced Variance Score Estimation in Diffusion Models Yilun Xu Shangyuan Tong Tommi Jaakkola DiffM 20 26 0 01 Feb 2023
Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics Marloes Arts Victor Garcia Satorras Chin-Wei Huang Daniel Zuegner Marco Federici C. Clementi Frank Noé Robert Pinsler Rianne van den Berg DiffM 24 86 0 01 Feb 2023