v1v2 (latest)

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
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation Pablo Lemos Sammy N. Sharief Nikolay Malkin Laurence Perreault Levasseur Y. Hezaveh Laurence Perreault-Levasseur Yashar Hezaveh 84 3 0 06 Feb 2024
Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning Zihan Ding Amy Zhang Yuandong Tian Qinqing Zheng OffRL 124 20 0 05 Feb 2024
Constrained Synthesis with Projected Diffusion Models Jacob K Christopher Stephen Baek Ferdinando Fioretto DiffM 91 20 0 05 Feb 2024
CT Material Decomposition using Spectral Diffusion Posterior Sampling Xiao Jiang G. Gang J. W. Stayman DiffM MedIm 65 5 0 05 Feb 2024
InstanceDiffusion: Instance-level Control for Image Generation Xudong Wang Trevor Darrell Sai Saketh Rambhatla Rohit Girdhar Ishan Misra VLM DiffM 61 101 0 05 Feb 2024
A Lennard-Jones Layer for Distribution Normalization Mulun Na Jonathan Klein Biao Zhang Wojciech Palubicki Soren Pirk D. L. Michels 65 0 0 05 Feb 2024
The last Dance : Robust backdoor attack via diffusion models and bayesian approach Orson Mengara DiffM 82 4 0 05 Feb 2024
Guidance with Spherical Gaussian Constraint for Conditional Diffusion Lingxiao Yang Shutong Ding Yifan Cai Jingyi Yu Jingya Wang Ye-ling Shi DiffM 119 40 0 05 Feb 2024
Diffusive Gibbs Sampling Jiajun He Mingtian Zhang Brooks Paige José Miguel Hernández-Lobato David Barber 143 11 0 05 Feb 2024
Retrieval-Augmented Score Distillation for Text-to-3D Generation Junyoung Seo Susung Hong Wooseok Jang Ines Hyeonsu Kim Minseop Kwak Doyup Lee Seungryong Kim 94 9 0 05 Feb 2024
DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models Yang Sui Huy Phan Jinqi Xiao Tian-Di Zhang Zijie Tang Cong Shi Yan Wang Yingying Chen Bo Yuan DiffM AAML 72 13 0 05 Feb 2024
DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation Yuan Gao Haokun Chen Xiang Wang Zhicai Wang Xue Wang Jinyang Gao Bolin Ding 74 6 0 05 Feb 2024
Adversarial Text Purification: A Large Language Model Approach for Defense Raha Moraffah Shubh Khandelwal Amrita Bhattacharjee Huan Liu DeLMO AAML 97 5 0 05 Feb 2024
ViewFusion: Learning Composable Diffusion Models for Novel View Synthesis Bernard Spiegl Andrea Perin Stéphane Deny Alexander Ilin DiffM 95 2 0 05 Feb 2024
Correlational Lagrangian Schrödinger Bridge: Learning Dynamics with Population-Level Regularization Yuning You Ruida Zhou Yang Shen 52 2 0 04 Feb 2024
Your Diffusion Model is Secretly a Certifiably Robust Classifier Huanran Chen Yinpeng Dong Shitong Shao Zhongkai Hao Xiao Yang Hang Su Jun Zhu DiffM 96 15 0 04 Feb 2024
Denoising Diffusion-Based Control of Nonlinear Systems Karthik Elamvazhuthi D. Gadginmath Fabio Pasqualetti DiffM AI4CE 75 2 0 03 Feb 2024
Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance Xinyu Peng Ziyang Zheng Wenrui Dai Nuoqian Xiao Chenglin Li Junni Zou Hongkai Xiong DiffM 149 23 0 03 Feb 2024
Precise Knowledge Transfer via Flow Matching Shitong Shao Zhiqiang Shen Linrui Gong Huanran Chen Xu Dai 68 2 0 03 Feb 2024
Analyzing Neural Network-Based Generative Diffusion Models through Convex Optimization Fangzhao Zhang Mert Pilanci DiffM 98 3 0 03 Feb 2024
Bringing Generative AI to Adaptive Learning in Education Hang Li Tianlong Xu Chaoli Zhang Eason Chen Jing Liang Xing Fan Haoyang Li Jiliang Tang Qingsong Wen 93 25 0 02 Feb 2024
Conditioning non-linear and infinite-dimensional diffusion processes E. Baker Gefan Yang Michael L. Severinsen C. Hipsley Stefan Sommer DiffM 82 8 0 02 Feb 2024
PRIME: Protect Your Videos From Malicious Editing Guanlin Li Shuai Yang Jie Zhang Tianwei Zhang 75 1 0 02 Feb 2024
ID-NeRF: Indirect Diffusion-guided Neural Radiance Fields for Generalizable View Synthesis Yaokun Li Chao Gou Guang Tan DiffM 52 1 0 02 Feb 2024
Diffusion Model-based Probabilistic Downscaling for 180-year East Asian Climate Reconstruction Fenghua Ling Zeyu Lu Jing-Jia Luo Lei Bai S. Behera Dachao Jin Baoxiang Pan Huidong Jiang Toshio Yamagata AI4Cl 56 19 0 02 Feb 2024
Response Theory via Generative Score Modeling L. T. Giorgini Katherine Deck Tobias Bischoff Andre N. Souza 74 11 0 01 Feb 2024
Resolution invariant deep operator network for PDEs with complex geometries Jianguo Huang Yue Qiu 88 0 0 01 Feb 2024
An Analysis of the Variance of Diffusion-based Speech Enhancement Bunlong Lay Timo Gerkmann DiffM 38 2 0 01 Feb 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI Theodore Papamarkou Maria Skoularidou Konstantina Palla Laurence Aitchison Julyan Arbel ... David Rügamer Yee Whye Teh Max Welling Andrew Gordon Wilson Ruqi Zhang UQCV BDL 131 35 0 01 Feb 2024
AnimateLCM: Accelerating the Animation of Personalized Diffusion Models and Adapters with Decoupled Consistency Learning Fu-Yun Wang Zhaoyang Huang Xiaoyu Shi Weikang Bian Guanglu Song Yu Liu Hongsheng Li 62 24 0 01 Feb 2024
On the Error Analysis of 3D Gaussian Splatting and an Optimal Projection Strategy Le-Tong Huang Jia-Xuan Bai Jie Guo Yuanqi Li Yanwen Guo 3DGS 85 25 0 01 Feb 2024
Plug-and-Play image restoration with Stochastic deNOising REgularization Marien Renaud Jean Prost Arthur Leclaire Nicolas Papadakis DiffM 151 8 0 01 Feb 2024
Positional Encoding Helps Recurrent Neural Networks Handle a Large Vocabulary Takashi Morita 85 3 0 31 Jan 2024
Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators Daniel Geng Andrew Owens DiffM 77 34 0 31 Jan 2024
Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances Xuefeng Gao Lingjiong Zhu 120 21 0 31 Jan 2024
Double InfoGAN for Contrastive Analysis Florence Carton Robin Louiset Pietro Gori 54 3 0 31 Jan 2024
Spatial-and-Frequency-aware Restoration method for Images based on Diffusion Models Kyungsung Lee Donggyu Lee Myungjoo Kang 55 0 0 31 Jan 2024
Gradient-Free Score-Based Sampling Methods with Ensembles T. Bischoff B. Riel 61 1 0 31 Jan 2024
Enhancing EEG Signal-Based Emotion Recognition with Synthetic Data: Diffusion Model Approach Gourav Siddhad Masakazu Iwamura Partha Pratim Roy DiffM 60 8 0 30 Jan 2024
A Literature Review on Fetus Brain Motion Correction in MRI Haoran Zhang Yun Wang 37 0 0 30 Jan 2024
Pick-and-Draw: Training-free Semantic Guidance for Text-to-Image Personalization Henglei Lv Jiayu Xiao Liang Li Qingming Huang DiffM 100 6 0 30 Jan 2024
Diffusion model for relational inference Shuhan Zheng Ziqiang Li Kantaro Fujiwara Gouhei Tanaka DiffM 69 2 0 30 Jan 2024
Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled Shengchao Liu Chengpeng Wang Jiarui Lu Weili Nie Hanchen Wang Zhuoxinran Li Bolei Zhou Jian Tang 112 3 0 29 Jan 2024
Sliced Wasserstein with Random-Path Projecting Directions Khai Nguyen Shujian Zhang Tam Le Nhat Ho 106 9 0 29 Jan 2024
Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach Shaofeng Zhang Jinfa Huang Qiang-feng Zhou Zhibin Wang Fan Wang Jiebo Luo Junchi Yan DiffM 104 12 0 28 Jan 2024
Diffusion-based Graph Generative Methods Hongyang Chen Can Xu Lingyu Zheng Qiang Zhang Xuemin Lin DiffM MedIm 88 0 0 28 Jan 2024
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization Yinbin Han Meisam Razaviyayn Renyuan Xu DiffM 138 16 0 28 Jan 2024
DiffuserLite: Towards Real-time Diffusion Planning Zibin Dong Jianye Hao Yifu Yuan Fei Ni Yitian Wang Pengyi Li Yan Zheng 175 20 0 27 Jan 2024
A Survey on Data Augmentation in Large Model Era Yue Zhou Chenlu Guo Xu Wang Yi-Ju Chang Yuan Wu LM&MA VLM 128 27 0 27 Jan 2024
A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics Shengchao Liu Weitao Du Yanjing Li Zhuoxinran Li Vignesh C. Bhethanabotla ... O. Yaghi C. Borgs A. Anandkumar Hongyu Guo J. Chayes AI4CE 82 4 0 26 Jan 2024