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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"

50 / 4,587 papers shown

Title
Diffusion Models for Audio Restoration Jean-Marie Lemercier Julius Richter Simon Welker Eloi Moliner Vesa Valimaki Timo Gerkmann 82 18 0 15 Feb 2024
DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization Jisu Nam Heesu Kim Dongjae Lee Siyoon Jin Seungryong Kim Seunggyu Chang DiffM 105 44 0 15 Feb 2024
Extreme Video Compression with Pre-trained Diffusion Models Bohan Li Yiming Liu Xueyan Niu Bo Bai Lei Deng Deniz Gündüz DiffM VGen 55 4 0 14 Feb 2024
Space-Time Diffusion Bridge Hamidreza Behjoo Michael Chertkov DiffM 58 1 0 13 Feb 2024
PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models Fei Deng Qifei Wang Wei Wei Matthias Grundmann Tingbo Hou EGVM 79 21 0 13 Feb 2024
Target Score Matching Valentin De Bortoli M. Hutchinson Peter Wirnsberger Arnaud Doucet DiffM 92 21 0 13 Feb 2024
A Survey of Generative AI for de novo Drug Design: New Frontiers in Molecule and Protein Generation Xiangru Tang Howard Dai Elizabeth Knight Fang Wu Yunyang Li Tianxiao Li Mark B. Gerstein 89 31 0 13 Feb 2024
A Dense Reward View on Aligning Text-to-Image Diffusion with Preference Shentao Yang Tianqi Chen Mingyuan Zhou EGVM 120 30 0 13 Feb 2024
PFCM: Poisson flow consistency models for low-dose CT image denoising Dennis Hein Adam Wang Ge Wang Ge Wang DiffM 76 1 0 13 Feb 2024
Convergence Analysis of Discrete Diffusion Model: Exact Implementation through Uniformization Hongrui Chen Lexing Ying 109 16 0 12 Feb 2024
Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian probability distributions Frank Cole Yulong Lu DiffM 63 5 0 12 Feb 2024
Diffeomorphic Measure Matching with Kernels for Generative Modeling Biraj Pandey Bamdad Hosseini Pau Batlle H. Owhadi 78 3 0 12 Feb 2024
Nearest Neighbour Score Estimators for Diffusion Generative Models Matthew Niedoba Dylan Green Saeid Naderiparizi Vasileios Lioutas J. Lavington ... Ke Zhang Setareh Dabiri Adam Scibior Berend Zwartsenberg Frank Wood DiffM 72 2 0 12 Feb 2024
Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment Manifolds Bastian Boll Daniel Gonzalez-Alvarado Christoph Schnörr DRL 87 4 0 12 Feb 2024
Towards a mathematical theory for consistency training in diffusion models Gen Li Zhihan Huang Yuting Wei 117 18 0 12 Feb 2024
Optimal score estimation via empirical Bayes smoothing Andre Wibisono Yihong Wu Kaylee Yingxi Yang 86 27 0 12 Feb 2024
Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial Wenpin Tang Hanyang Zhao DiffM 112 27 0 12 Feb 2024
Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck Equations Zheyuan Hu Zhongqiang Zhang George Karniadakis Kenji Kawaguchi 107 15 0 12 Feb 2024
Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation Tonglong Wei Youfang Lin Shengnan Guo Yan Lin YiHeng Huang Chenyang Xiang Yuqing Bai Menglu Ya Huaiyu Wan 85 12 0 12 Feb 2024
Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL Sungyoon Kim Yunseon Choi Daiki E. Matsunaga Kee-Eung Kim OffRL 100 9 0 11 Feb 2024
Towards Fast Stochastic Sampling in Diffusion Generative Models Kushagra Pandey Maja R. Rudolph Stephan Mandt DiffM 55 0 0 11 Feb 2024
Sequential Flow Straightening for Generative Modeling Jongmin Yoon Juho Lee 53 0 0 09 Feb 2024
GLA-Grad: A Griffin-Lim Extended Waveform Generation Diffusion Model Haocheng Liu Teysir Baoueb Mathieu Fontaine Jonathan Le Roux Gaël Richard 63 4 0 09 Feb 2024
Particle Denoising Diffusion Sampler Angus Phillips Hai-Dang Dau M. Hutchinson Valentin De Bortoli George Deligiannidis Arnaud Doucet DiffM 132 30 0 09 Feb 2024
Controllable seismic velocity synthesis using generative diffusion models Fu Wang Xinquan Huang T. Alkhalifah DiffM 59 6 0 09 Feb 2024
Wasserstein proximal operators describe score-based generative models and resolve memorization Benjamin J. Zhang Siting Liu Wuchen Li Markos A. Katsoulakis Stanley J. Osher DiffM 100 10 0 09 Feb 2024
Consistency Model is an Effective Posterior Sample Approximation for Diffusion Inverse Solvers Tongda Xu Ziran Zhu Jian Li Dailan He Yuanyuan Wang ... Ning Li Hongwei Qin Yan Wang Jingjing Liu Ya Zhang DiffM 85 5 0 09 Feb 2024
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities Tara Akhound-Sadegh Jarrid Rector-Brooks A. Bose Sarthak Mittal Pablo Lemos ... Siamak Ravanbakhsh Gauthier Gidel Yoshua Bengio Nikolay Malkin Alexander Tong DiffM 102 58 0 09 Feb 2024
CLR-Face: Conditional Latent Refinement for Blind Face Restoration Using Score-Based Diffusion Models Maitreya Suin Rama Chellappa DiffM 68 4 0 08 Feb 2024
DiscDiff: Latent Diffusion Model for DNA Sequence Generation Zehui Li Yuhao Ni W. Beardall Guoxuan Xia Akashaditya Das Guy-Bart Stan Yiren Zhao 67 10 0 08 Feb 2024
Time Series Diffusion in the Frequency Domain Jonathan Crabbé Nicolas Huynh Jan Stanczuk M. Schaar DiffM 101 14 0 08 Feb 2024
Dirichlet Flow Matching with Applications to DNA Sequence Design Hannes Stärk Bowen Jing Chenyu Wang Gabriele Corso Bonnie Berger Regina Barzilay Tommi Jaakkola BDL 120 58 0 08 Feb 2024
Stable Autonomous Flow Matching Christopher Iliffe Sprague Arne Elofsson Hossein Azizpour 90 1 0 08 Feb 2024
REMEDI: Corrective Transformations for Improved Neural Entropy Estimation Viktor Nilsson Anirban Samaddar Sandeep Madireddy Pierre Nyquist 54 2 0 08 Feb 2024
S $Ω$ I: Score-based O-INFORMATION Estimation Mustapha Bounoua Giulio Franzese Pietro Michiardi 102 1 0 08 Feb 2024
Scalable Diffusion Models with State Space Backbone Zhengcong Fei Mingyuan Fan Changqian Yu Junshi Huang 140 40 0 08 Feb 2024
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport Jaemoo Choi Jaewoong Choi Myungjoo Kang 127 11 0 08 Feb 2024
Counterfactual Image Editing Yushu Pan Elias Bareinboim BDL CML 67 8 0 07 Feb 2024
Improved off-policy training of diffusion samplers Marcin Sendera Minsu Kim Sarthak Mittal Pablo Lemos Luca Scimeca Jarrid Rector-Brooks Alexandre Adam Yoshua Bengio Nikolay Malkin OffRL 224 28 0 07 Feb 2024
Blue noise for diffusion models Xingchang Huang Corentin Salaün C. N. Vasconcelos Christian Theobalt Cengiz Öztireli Gurprit Singh DiffM 77 11 0 07 Feb 2024
AlphaFold Meets Flow Matching for Generating Protein Ensembles Bowen Jing Bonnie Berger Tommi Jaakkola AI4CE 77 108 0 07 Feb 2024
InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior Chenguo Lin Yadong Mu 3DV 70 40 0 07 Feb 2024
Noise Map Guidance: Inversion with Spatial Context for Real Image Editing Hansam Cho Jonghyun Lee Seoung Bum Kim Tae-Hyun Oh Yonghyun Jeong DiffM 90 18 0 07 Feb 2024
Denoising Diffusion Probabilistic Models in Six Simple Steps Richard Turner Cristiana-Diana Diaconu Stratis Markou Aliaksandra Shysheya Andrew Y. K. Foong Bruno Mlodozeniec DiffM 60 6 0 06 Feb 2024
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning Ruoqing Zhang Ziwei Luo Jens Sjölund Thomas B. Schön Per Mattsson 91 13 0 06 Feb 2024
AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies Xixi Hu Bo Liu Xingchao Liu Qiang Liu 88 15 0 06 Feb 2024
On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models Christian Horvat J. Pfister DiffM 92 13 0 06 Feb 2024
SDEMG: Score-based Diffusion Model for Surface Electromyographic Signal Denoising Yu-Tung Liu Kuan-Chen Wang Kai-Chun Liu Sheng-Yu Peng Yu Tsao DiffM MedIm 55 3 0 06 Feb 2024
FoolSDEdit: Deceptively Steering Your Edits Towards Targeted Attribute-aware Distribution Qi Zhou Donghai Hong Tianlin Li Zhihong Xu Yang Liu Kui Ren Wenhai Wang Qing Guo AAML DiffM 59 2 0 06 Feb 2024
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation Lingxiao Zhao Xueying Ding Leman Akoglu DiffM 88 10 0 06 Feb 2024