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
Eliminating Lipschitz Singularities in Diffusion Models Zhantao Yang Ruili Feng Han Zhang Yujun Shen Kaixuan Zhu ... Yifei Zhang Yu Liu Deli Zhao Jingren Zhou Fan Cheng 42 4 0 20 Jun 2023
GD-VDM: Generated Depth for better Diffusion-based Video Generation Ariel Lapid Idan Achituve Lior Bracha Ethan Fetaya DiffM VGen 89 7 0 19 Jun 2023
Score-based Data Assimilation François Rozet Gilles Louppe 84 33 0 18 Jun 2023
GenPose: Generative Category-level Object Pose Estimation via Diffusion Models Jiyao Zhang Min-Yu Wu Hao Dong DiffM 73 36 0 18 Jun 2023
Tailoring Machine Learning for Process Mining Paolo Ceravolo Sylvio Barbon Junior Ernesto Damiani Wil M.P. van der Aalst AI4TS 26 6 0 17 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Yuxuan Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 126 103 0 16 Jun 2023
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models Geon Yeong Park Jeongsol Kim Beomsu Kim Sang Wan Lee Jong Chul Ye DiffM 38 22 0 16 Jun 2023
Understanding Deep Generative Models with Generalized Empirical Likelihoods Suman V. Ravuri Mélanie Rey S. Mohamed M. Deisenroth VLM 35 5 0 16 Jun 2023
R2-Diff: Denoising by diffusion as a refinement of retrieved motion for image-based motion prediction Takeru Oba Norimichi Ukita DiffM 48 1 0 15 Jun 2023
Diff-TTSG: Denoising probabilistic integrated speech and gesture synthesis Shivam Mehta Siyang Wang Simon Alexanderson Jonas Beskow Éva Székely G. Henter DiffM 31 14 0 15 Jun 2023
Evaluating Data Attribution for Text-to-Image Models Sheng-Yu Wang Alexei A. Efros Jun-Yan Zhu Richard Y. Zhang TDI 57 32 0 15 Jun 2023
Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing Diffusions Yilong Qin Andrej Risteski DiffM 50 2 0 15 Jun 2023
Fast Training of Diffusion Models with Masked Transformers Hongkai Zheng Weili Nie Arash Vahdat Anima Anandkumar DiffM 56 69 0 15 Jun 2023
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models Gen Li Yuting Wei Yuxin Chen Yuejie Chi DiffM 41 60 0 15 Jun 2023
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers Chandramouli Shama Sastry Sri Harsha Dumpala Sageev Oore 35 0 0 15 Jun 2023
On Certified Generalization in Structured Prediction Bastian Boll Christoph Schnörr 39 0 0 15 Jun 2023
Enhanced Sampling with Machine Learning: A Review S. Mehdi Zachary Smith Lukas Herron Ziyue Zou P. Tiwary AI4CE 32 8 0 15 Jun 2023
Unbalanced Diffusion Schrödinger Bridge Matteo Pariset Ya-Ping Hsieh Charlotte Bunne Andreas Krause Valentin De Bortoli DiffM OT 49 6 0 15 Jun 2023
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models En-hao Liu Xuefei Ning Zinan Lin Huazhong Yang Yu Wang 68 37 0 15 Jun 2023
Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis Zhiyu Jin Xuli Shen Bin Li Xiangyang Xue 44 36 0 14 Jun 2023
TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement Carl Doersch Yi Yang Mel Vecerík Dilara Gokay Ankush Gupta Y. Aytar João Carreira Andrew Zisserman 44 150 0 14 Jun 2023
Variance-Preserving-Based Interpolation Diffusion Models for Speech Enhancement Zilu Guo Jun Du Chin-Hui Lee Yu Gao Wen-bo Zhang DiffM 44 10 0 14 Jun 2023
DiffuDetox: A Mixed Diffusion Model for Text Detoxification Griffin Floto Mohammad Mahdi Torabi pour Parsa Farinneya Zhenwei Tang Ali Pesaranghader Manasa Bharadwaj Scott Sanner DiffM 43 10 0 14 Jun 2023
MUBen: Benchmarking the Uncertainty of Molecular Representation Models Yinghao Li Lingkai Kong Yuanqi Du Yue Yu Yuchen Zhuang Wenhao Mu Chao Zhang 40 11 0 14 Jun 2023
Bayesian Non-linear Latent Variable Modeling via Random Fourier Features M. Zhang Gregory W. Gundersen Barbara Engelhardt BDL 19 2 0 14 Jun 2023
GBSD: Generative Bokeh with Stage Diffusion Jieren Deng Xiaoxia Zhou Hao Tian Zhihong Pan Derek Aguiar DiffM 37 1 0 14 Jun 2023
Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation Ruoyu Wang Yongqi Yang Zhihao Qian Ye Zhu Yuehua Wu DiffM 38 13 0 14 Jun 2023
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models Yinghao Aaron Li Cong Han Vinay S. Raghavan Gavin Mischler N. Mesgarani VLM DiffM 58 112 0 13 Jun 2023
Hyperbolic Graph Diffusion Model Lingfeng Wen Xuan Tang Mingjie Ouyang Xiangxiang Shen Jian Yang Daxin Zhu Mingsong Chen Xian Wei 53 2 0 13 Jun 2023
Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model Xinyu Zhang Jiaxian Guo Paul D. Yoo Yutaka Matsuo Yusuke Iwasawa DiffM 51 22 0 13 Jun 2023
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems Marc Finzi Anudhyan Boral A. Wilson Fei Sha Leonardo Zepeda-Núñez DiffM 43 21 0 13 Jun 2023
Controlling Text-to-Image Diffusion by Orthogonal Finetuning Zeju Qiu Wei-yu Liu Haiwen Feng Yuxuan Xue Yao Feng Zhen Liu Dan Zhang Adrian Weller Bernhard Schölkopf DiffM 56 142 0 12 Jun 2023
Diffusion Models for Black-Box Optimization S. Krishnamoorthy Satvik Mashkaria Aditya Grover DiffM 52 52 0 12 Jun 2023
Latent Dynamical Implicit Diffusion Processes Mohammadreza Rezaei DiffM 49 1 0 12 Jun 2023
Fast Diffusion Model Zike Wu Pan Zhou Kenji Kawaguchi Hanwang Zhang DiffM 34 20 0 12 Jun 2023
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models Sheng-Yen Chou Pin-Yu Chen Tsung-Yi Ho DiffM 28 54 0 12 Jun 2023
HiddenSinger: High-Quality Singing Voice Synthesis via Neural Audio Codec and Latent Diffusion Models Ji-Sang Hwang Sang-Hoon Lee Seong-Whan Lee DiffM 43 8 0 12 Jun 2023
On Kinetic Optimal Probability Paths for Generative Models Neta Shaul Ricky T. Q. Chen Maximilian Nickel Matt Le Y. Lipman OT 30 24 0 11 Jun 2023
Learning Joint Latent Space EBM Prior Model for Multi-layer Generator Jiali Cui Ying Nian Wu Tian Han 37 8 0 10 Jun 2023
The Age of Synthetic Realities: Challenges and Opportunities J. P. Cardenuto Jing Yang Rafael Padilha Renjie Wan Daniel Moreira Haoliang Li Shiqi Wang Fernanda A. Andaló Sébastien Marcel Anderson de Rezende Rocha DeLMO 55 29 0 09 Jun 2023
Sketch2Stress: Sketching with Structural Stress Awareness Deng Yu Chufeng Xiao Manfred Lau Hongbo Fu 35 1 0 09 Jun 2023
Boosting Fast and High-Quality Speech Synthesis with Linear Diffusion Hao Liu Tao Wang Jie Cao Ran He J. Tao DiffM 27 3 0 09 Jun 2023
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models Yule Wang Zijing Wu Chengrui Li Anqi Wu DiffM 64 11 0 09 Jun 2023
BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping Jiatao Gu Shuangfei Zhai Yizhe Zhang Lingjie Liu J. Susskind DiffM 36 70 0 08 Jun 2023
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking Chris Cundy Stefano Ermon 33 10 0 08 Jun 2023
Improving Tuning-Free Real Image Editing with Proximal Guidance Ligong Han Song Wen Qi Chen Zhixing Zhang Kunpeng Song ... Qilong Zhangli Jindong Jiang Zhaoyang Xia Akash Srivastava Dimitris N. Metaxas DiffM 50 58 0 08 Jun 2023
Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning Shuxin Zheng Jiyan He Chang-Shu Liu Yu Shi Ziheng Lu ... Peiran Jin Chi Chen Frank Noé Haiguang Liu Tie-Yan Liu AI4CE 49 41 0 08 Jun 2023
PriSampler: Mitigating Property Inference of Diffusion Models Hailong Hu Jun Pang DiffM 30 3 0 08 Jun 2023
Multi-Architecture Multi-Expert Diffusion Models Yunsung Lee Jin-Young Kim Hyojun Go Myeongho Jeong Shinhyeok Oh Seungtaek Choi DiffM 44 30 0 08 Jun 2023
Entropy-based Training Methods for Scalable Neural Implicit Sampler Weijian Luo Boya Zhang Zhihua Zhang 39 11 0 08 Jun 2023