Improved Techniques for Training Score-Based Generative Models

16 June 2020

Papers citing "Improved Techniques for Training Score-Based Generative Models"

50 / 227 papers shown

Title
Dequantified Diffusion Schrödinger Bridge for Density Ratio Estimation Wei-Neng Chen Shigui Li J. Li Junmei Yang John Paisley Delu Zeng DiffM OT 64 0 0 08 May 2025
JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers Kwon Byung-Ki Qi Dai Lee Hyoseok Chong Luo Tae-Hyun Oh 68 0 0 01 May 2025
A Comprehensive Survey of Synthetic Tabular Data Generation Ruxue Shi Yili Wang Mengnan Du Xu Shen Xin Wang 44 2 0 23 Apr 2025
Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images Jonathan Brokman Amit Giloni Omer Hofman Roman Vainshtein Hisashi Kojima Guy Gilboa 28 2 0 21 Apr 2025
Multi-resolution Score-Based Variational Graphical Diffusion for Causal Disaster System Modeling and Inference Xuechun Li Shan Gao Susu Xu DiffM 28 0 0 05 Apr 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 91 0 0 16 Mar 2025
Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards Zijing Hu Fengda Zhang Long Chen Kun Kuang Jiahui Li Kaifeng Gao Jun Xiao X. Wang Wenwu Zhu EGVM 51 0 0 14 Mar 2025
On the Generalization Properties of Diffusion Models Puheng Li Zhong Li Huishuai Zhang Jiang Bian 72 29 0 13 Mar 2025
Text-to-Image Rectified Flow as Plug-and-Play Priors Xiaofeng Yang Cheng Chen Xulei Yang Fayao Liu Guosheng Lin DiffM 68 7 0 21 Feb 2025
On Memorization in Diffusion Models Xiangming Gu Chao Du Tianyu Pang Chongxuan Li Min-Bin Lin Ye Wang DiffM TDI 166 43 0 21 Feb 2025
$Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$-Constrained Optimization$ Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$ -Constrained Optimization Xiaohua Feng Chao-Jun Chen Yuyuan Li L. Zhang Longfei Li Jun Zhou Xiaolin Zheng MU 68 0 0 20 Feb 2025
Conditional sampling within generative diffusion models Zheng Zhao Ziwei Luo Jens Sjölund Thomas B. Schon DiffM VLM 73 3 0 20 Feb 2025
Precise Parameter Localization for Textual Generation in Diffusion Models Łukasz Staniszewski Bartosz Cywiñski Franziska Boenisch Kamil Deja Adam Dziedzic DiffM 146 0 0 17 Feb 2025
Machine learning for modelling unstructured grid data in computational physics: a review Sibo Cheng Marc Bocquet Weiping Ding Tobias S. Finn Rui Fu ... Yong Zeng Mingrui Zhang Hao Zhou Kewei Zhu Rossella Arcucci PINN AI4CE 109 0 0 13 Feb 2025
MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers Ao Li Wei Fang Hongbo Zhao Le Lu Ge Yang Minfeng Xu DiffM 81 0 0 11 Feb 2025
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization Yang Li Jinpei Guo Runzhong Wang H. Zha Junchi Yan 50 4 0 05 Feb 2025
Regularized Langevin Dynamics for Combinatorial Optimization Shengyu Feng Yiming Yang 71 0 0 01 Feb 2025
Gradient Networks Shreyas Chaudhari Srinivasa Pranav J. M. F. Moura 50 0 0 28 Jan 2025
Certified Guidance for Planning with Deep Generative Models Francesco Giacomarra Mehran Hosseini Nicola Paoletti Francesca Cairoli 43 0 0 22 Jan 2025
Nested Annealed Training Scheme for Generative Adversarial Networks Chang Wan Ming-Hsuan Yang Minglu Li Yunliang Jiang Zhonglong Zheng GAN 35 0 0 20 Jan 2025
Isolated Diffusion: Optimizing Multi-Concept Text-to-Image Generation Training-Freely with Isolated Diffusion Guidance Jin Zhu Huimin Ma Jiansheng Chen Jian Yuan 71 4 0 20 Jan 2025
Generative Modelling with High-Order Langevin Dynamics Ziqiang Shi Rujie Liu DiffM 62 2 0 03 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 56 0 0 03 Jan 2025
UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models Yuning Han Bingyin Zhao Rui Chu Feng Luo Biplab Sikdar Yingjie Lao DiffM AAML 72 1 0 16 Dec 2024
On learning higher-order cumulants in diffusion models Gert Aarts Diaa E. Habibi L. Wang K. Zhou 26 4 0 28 Oct 2024
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model Jing Zhang Linjiajie Fang Kexin Shi Wenjia Wang Bing-Yi Jing OffRL 31 0 0 27 Oct 2024
Learned Reference-based Diffusion Sampling for multi-modal distributions Maxence Noble Louis Grenioux Marylou Gabrié Alain Durmus DiffM 31 2 0 25 Oct 2024
Preference Diffusion for Recommendation Shuo Liu An Zhang Guoqing Hu Hong Qian Tat-Seng Chua 53 1 0 17 Oct 2024
On the Relation Between Linear Diffusion and Power Iteration Dana Weitzner M. Delbracio P. Milanfar Raja Giryes DiffM 29 0 0 16 Oct 2024
Deep Optimal Sensor Placement for Black Box Stochastic Simulations Paula Cordero-Encinar Tobias Schröder P. Yatsyshin Andrew Duncan 45 0 0 15 Oct 2024
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics Omar Chehab Anna Korba Austin Stromme Adrien Vacher 33 2 0 13 Oct 2024
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector Jinghan Li Yuan Gao Jinda Lu Junfeng Fang Congcong Wen Hui Lin Xiang Wang 45 1 0 09 Oct 2024
Diffusion Models in 3D Vision: A Survey Zhen Wang Dongyuan Li Renhe Jiang Tianyu He Jiang Bian Renhe Jiang MedIm 60 4 0 07 Oct 2024
Diffusion State-Guided Projected Gradient for Inverse Problems Rayhan Zirvi Bahareh Tolooshams Anima Anandkumar DiffM 28 2 0 04 Oct 2024
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models Saurav Jha Shiqi Yang Masato Ishii Mengjie Zhao Christian Simon Muhammad Jehanzeb Mirza Dong Gong Lina Yao Shusuke Takahashi Yuki Mitsufuji DiffM 61 2 0 01 Oct 2024
Invisible Servoing: a Visual Servoing Approach with Return-Conditioned Latent Diffusion Bishoy Gerges Barbara Bazzana Nicolò Botteghi Youssef Aboudorra Antonio Franchi DiffM 57 1 0 20 Sep 2024
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness Hefei Mei Minjing Dong Chang Xu AAML 48 0 0 16 Aug 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 42 16 0 06 Aug 2024
Solutions to Deepfakes: Can Camera Hardware, Cryptography, and Deep Learning Verify Real Images? Alexander Vilesov Yuan Tian Nader Sehatbakhsh A. Kadambi 29 0 0 04 Jul 2024
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing Bingliang Zhang Wenda Chu Julius Berner Chenlin Meng Anima Anandkumar Yang Song DiffM 36 26 0 01 Jul 2024
Generative Inverse Design of Crystal Structures via Diffusion Models with Transformers Izumi Takahara Kiyou Shibata Teruyasu Mizoguchi DiffM AI4CE 34 2 0 13 Jun 2024
Image Neural Field Diffusion Models Yinbo Chen Oliver Wang Richard Zhang Eli Shechtman Xiaolong Wang Michael Gharbi DiffM 29 3 0 11 Jun 2024
Lightening Anything in Medical Images Ben Fei Yixuan Li Weidong Yang Hengjun Gao Jingyi Xu Lipeng Ma Yatian Yang Pinghong Zhou MedIm 36 2 0 01 Jun 2024
Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning Linjiajie Fang Ruoxue Liu Jing Zhang Wenjia Wang Bing-Yi Jing OffRL 48 1 0 31 May 2024
Don't drop your samples! Coherence-aware training benefits Conditional diffusion Nicolas Dufour Victor Besnier Vicky Kalogeiton David Picard DiffM 49 2 0 30 May 2024
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations Justin Deschenaux Igor Krawczuk Grigorios G. Chrysos V. Cevher DiffM 44 3 0 29 May 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim Kwanghyeon Lee Minsang Park Byeonghu Na Il-Chul Moon DiffM 42 2 0 27 May 2024
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators Harry Zhang Luca Carlone 3DH 66 1 0 27 May 2024
Categorical Flow Matching on Statistical Manifolds Chaoran Cheng Jiahan Li Jian-wei Peng Ge Liu 56 10 0 26 May 2024
NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer Meng You Zhiyu Zhu Hui Liu Junhui Hou VGen DiffM 26 23 0 24 May 2024