Diffusion Normalizing Flow

14 October 2021

Qinsheng Zhang

Papers citing "Diffusion Normalizing Flow"

50 / 56 papers shown

Title
Ergodic Generative Flows Leo Maxime Brunswic Mateo Clemente Rui Heng Yang Adam Sigal Amir Rasouli Yinchuan Li 35 0 0 06 May 2025
Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening Ye Tian L. Yang Xinchen Zhang Yunhai Tong Mengdi Wang Bin Cui 65 1 0 17 Feb 2025
Global Search for Optimal Low Thrust Spacecraft Trajectories using Diffusion Models and the Indirect Method Jannik Graebner Ryne T. Beeson 41 0 0 13 Jan 2025
Variational autoencoders with latent high-dimensional steady geometric flows for dynamics Andrew Gracyk DRL 61 0 0 03 Jan 2025
Learning Efficient and Effective Trajectories for Differential Equation-based Image Restoration Zhiyu Zhu Jinhui Hou Hui Liu Huanqiang Zeng Junhui Hou 35 0 0 07 Oct 2024
Improving Neural Optimal Transport via Displacement Interpolation Jaemoo Choi Yongxin Chen Jaewoong Choi OT 38 0 0 03 Oct 2024
Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training Yunshu Wu Yingtao Luo Xianghao Kong Evangelos E. Papalexakis Greg Ver Steeg DiffM 27 2 0 12 Jul 2024
Diffusion Models in Low-Level Vision: A Survey Chunming He Yuqi Shen Chengyu Fang Fengyang Xiao Longxiang Tang Yulun Zhang W. Zuo Zhenhua Guo Xiu Li VLM DiffM MedIm 67 30 0 17 Jun 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim Kwanghyeon Lee Minsang Park Byeonghu Na Il-Chul Moon DiffM 39 2 0 27 May 2024
Survey on Visual Signal Coding and Processing with Generative Models: Technologies, Standards and Optimization Zhibo Chen Heming Sun Li Zhang Fan Zhang 35 3 0 23 May 2024
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling Grigory Bartosh Dmitry Vetrov C. A. Naesseth DiffM 24 7 0 19 Apr 2024
Mutual Information Estimation via Normalizing Flows I. Butakov Alexander Tolmachev S. Malanchuk A. Neopryatnaya Alexey Frolov 32 7 0 04 Mar 2024
Structure-Guided Adversarial Training of Diffusion Models Ling Yang Haotian Qian Zhilong Zhang Jingwei Liu Bin Cui 18 10 0 27 Feb 2024
Contextualized Diffusion Models for Text-Guided Image and Video Generation Ling Yang Zhilong Zhang Zhaochen Yu Jingwei Liu Minkai Xu Stefano Ermon Bin Cui 25 4 0 26 Feb 2024
Generative AI and Process Systems Engineering: The Next Frontier Benjamin Decardi-Nelson Abdulelah S. Alshehri Akshay Ajagekar Fengqi You AI4CE LLMAG 14 23 0 15 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 62 16 0 07 Feb 2024
Diffusion Models, Image Super-Resolution And Everything: A Survey Brian B. Moser Arundhati S. Shanbhag Federico Raue Stanislav Frolov Sebastián M. Palacio Andreas Dengel 24 34 0 01 Jan 2024
Diffusion Models With Learned Adaptive Noise S. Sahoo Aaron Gokaslan Christopher De Sa Volodymyr Kuleshov DiffM 21 8 0 20 Dec 2023
An approximate operator-based learning method for the numerical solutions of stochastic differential equations Jingyuan Li Wei Liu 15 0 0 13 Dec 2023
Gaussian Mixture Solvers for Diffusion Models Hanzhong Guo Cheng Lu Fan Bao Tianyu Pang Shuicheng Yan Chao Du Chongxuan Li 17 9 0 02 Nov 2023
Diffusion Random Feature Model Esha Saha Giang Tran DiffM 32 0 0 06 Oct 2023
Data-driven Modeling and Inference for Bayesian Gaussian Process ODEs via Double Normalizing Flows Jian Xu Shian Du Junmei Yang Xinghao Ding John Paisley Delu Zeng 13 0 0 17 Sep 2023
Elucidating the solution space of extended reverse-time SDE for diffusion models Qinpeng Cui Xinyi Zhang Zongqing Lu Qingmin Liao DiffM 17 5 0 12 Sep 2023
Variations and Relaxations of Normalizing Flows Keegan Kelly Lorena Piedras Sukrit Rao David Samuel Roth BDL 22 0 0 08 Sep 2023
Accelerating Markov Chain Monte Carlo sampling with diffusion models N. Hunt-Smith W. Melnitchouk F. Ringer Nobuo Sato A. Thomas M. J. White DiffM 8 15 0 04 Sep 2023
Diffusion Models with Deterministic Normalizing Flow Priors Mohsen Zand Ali Etemad Michael A. Greenspan DiffM 18 2 0 03 Sep 2023
Improved Order Analysis and Design of Exponential Integrator for Diffusion Models Sampling Qinsheng Zhang Jiaming Song Yongxin Chen DiffM 19 10 0 04 Aug 2023
Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications Peter Tu Zhaoyuan Yang Richard I. Hartley Zhiwei Xu Jing Zhang Yiwei Fu Dylan Campbell Jaskirat Singh Tianyu Wang DiffM 12 2 0 06 Jul 2023
Transport meets Variational Inference: Controlled Monte Carlo Diffusions Francisco Vargas Shreyas Padhy Denis Blessing Nikolas Nusken DiffM OT 35 3 0 03 Jul 2023
ScoreCL: Augmentation-Adaptive Contrastive Learning via Score-Matching Function Jinyoung Kim Soonwoo Kwon Hyojun Go Yunsung Lee Seungtaek Choi Hyun-Gyoon Kim 9 1 0 07 Jun 2023
A mean-field games laboratory for generative modeling Benjamin J. Zhang M. Katsoulakis 11 17 0 26 Apr 2023
CROVIA: Seeing Drone Scenes from Car Perspective via Cross-View Adaptation Thanh-Dat Truong C. Duong Ashley Dowling S. L. Phung J. Cothren Khoa Luu 18 2 0 14 Apr 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Yihan Cao Siyu Li Yixin Liu Zhiling Yan Yutong Dai Philip S. Yu Lichao Sun 19 493 0 07 Mar 2023
Restoration based Generative Models Jaemoo Choi Yesom Park Myung-joo Kang DiffM AI4CE 18 5 0 20 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 46 22 0 13 Feb 2023
Star-Shaped Denoising Diffusion Probabilistic Models Andrey Okhotin Dmitry Molchanov V. Arkhipkin Grigory Bartosh Viktor Ohanesian Aibek Alanov Dmitry Vetrov DiffM 27 12 0 10 Feb 2023
Minimizing Trajectory Curvature of ODE-based Generative Models Sangyun Lee Beomsu Kim Jong Chul Ye 25 53 0 27 Jan 2023
Solving Inverse Physics Problems with Score Matching Benjamin Holzschuh S. Vegetti Nils Thuerey DiffM 11 8 0 24 Jan 2023
DiffMotion: Speech-Driven Gesture Synthesis Using Denoising Diffusion Model Fan Zhang Naye Ji Fuxing Gao Yongping Li DiffM VGen 17 27 0 24 Jan 2023
Normalizing flow neural networks by JKO scheme Chen Xu Xiuyuan Cheng Yao Xie 16 24 0 29 Dec 2022
Dimensionality-Varying Diffusion Process Han Zhang Ruili Feng Zhantao Yang Lianghua Huang Yu Liu Yifei Zhang Yujun Shen Deli Zhao Jingren Zhou Fan Cheng DiffM 19 10 0 29 Nov 2022
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance Chen Henry Wu Fernando De la Torre DiffM 15 66 0 11 Oct 2022
Efficient Diffusion Models for Vision: A Survey Anwaar Ulhaq Naveed Akhtar MedIm 32 57 0 07 Oct 2022
Local_INN: Implicit Map Representation and Localization with Invertible Neural Networks Zirui Zang Hongrui Zheng Johannes Betz Rahul Mangharam 21 6 0 24 Sep 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 188 1,098 0 10 Sep 2022
A Survey on Generative Diffusion Model Hanqun Cao Cheng Tan Zhangyang Gao Yilun Xu Guangyong Chen Pheng-Ann Heng Stan Z. Li MedIm 37 195 0 06 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 215 1,277 0 02 Sep 2022
A Flexible Diffusion Model Weitao Du Tao Yang Heidi Zhang Yuanqi Du DiffM 25 11 0 17 Jun 2022
gDDIM: Generalized denoising diffusion implicit models Qinsheng Zhang Molei Tao Yongxin Chen DiffM 18 111 0 11 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras M. Aittala Timo Aila S. Laine DiffM 25 1,818 0 01 Jun 2022