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Variational Diffusion Models

1 July 2021

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Papers citing "Variational Diffusion Models"

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Title
Bridging SFT and DPO for Diffusion Model Alignment with Self-Sampling Preference Optimization Daoan Zhang Guangchen Lan Dong-Jun Han Wenlin Yao Xiaoman Pan ... Mingxiao Li Pengcheng Chen Yu Dong Christopher G. Brinton Jiebo Luo EGVM 284 7 0 07 Oct 2024
Learning Efficient and Effective Trajectories for Differential Equation-based Image RestorationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Zhiyu Zhu Jinhui Hou Hui Liu H. Zeng Junhui Hou 298 3 0 07 Oct 2024
GUD: Generation with Unified Diffusion Mathis Gerdes Max Welling Miranda C. N. Cheng DiffM 126 2 0 03 Oct 2024
Stochastic Sampling from Deterministic Flow Models Saurabh Singh Ian S. Fischer 200 4 0 03 Oct 2024
BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at ScaleAAAI Conference on Artificial Intelligence (AAAI), 2024 Randy Ardywibowo Rakesh Sunki Lucy Kuo Sankalp Nayak BDL 93 0 0 03 Oct 2024
MM-LDM: Multi-Modal Latent Diffusion Model for Sounding Video GenerationACM Multimedia (MM), 2024 Mingzhen Sun Weining Wang Yanyuan Qiao Jiahui Sun Zihan Qin Longteng Guo Xinxin Zhu Jing Liu DiffM VGen 107 12 0 02 Oct 2024
Edge-preserving noise for diffusion models Jente Vandersanden Sascha Holl Xingchang Huang Gurprit Singh DiffM 317 7 0 02 Oct 2024
Back to Bayesics: Uncovering Human Mobility Distributions and Anomalies with an Integrated Statistical and Neural Framework Minxuan Duan Yinlong Qian Lingyi Zhao Zihao Zhou Z. Rasheed Rose Yu Khurram Hassan-Shafique 212 6 0 01 Oct 2024
Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors Yunlong Lin Zhenqi Fu Kairun Wen Tian-Chun Ye Sixiang Chen Ge Meng Yingying Wang Yue Huang Xiaotong Tu Xinghao Ding DiffM 196 7 0 27 Sep 2024
CemiFace: Center-based Semi-hard Synthetic Face Generation for Face RecognitionNeural Information Processing Systems (NeurIPS), 2024 Zhonglin Sun Siyang Song Ioannis Patras Georgios Tzimiropoulos 189 8 0 27 Sep 2024
FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity RefinerNeural Information Processing Systems (NeurIPS), 2024 Wenliang Zhao Minglei Shi Xumin Yu Jie Zhou Jiwen Lu 138 4 0 26 Sep 2024
Learning Quantized Adaptive Conditions for Diffusion ModelsEuropean Conference on Computer Vision (ECCV), 2024 Yuchen Liang Yuchuan Tian Lei Yu Huao Tang Jie Hu Xiangzhong Fang Hanting Chen DiffM 144 0 0 26 Sep 2024
DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models Helin Cao Sven Behnke DiffM 311 8 0 26 Sep 2024
Schrödinger bridge based deep conditional generative learning Hanwen Huang DiffM 143 1 0 25 Sep 2024
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network SelectionEuropean Conference on Computer Vision (ECCV), 2024 Alireza Ganjdanesh Yan Kang Yuchen Liu Richard Y. Zhang Zhe Lin Heng Huang DiffM 277 11 0 23 Sep 2024
DiffESM: Conditional Emulation of Temperature and Precipitation in Earth System Models with 3D Diffusion ModelsJournal of Advances in Modeling Earth Systems (JAMES), 2024 Seth Bassetti Brian Hutchinson Claudia Tebaldi Ben Kravitz 214 15 0 17 Sep 2024
MambaFoley: Foley Sound Generation using Selective State-Space ModelsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 Marco Furio Colombo Francesca Ronchini Luca Comanducci Fabio Antonacci Mamba 282 3 0 13 Sep 2024
TextBoost: Towards One-Shot Personalization of Text-to-Image Models via Fine-tuning Text Encoder NaHyeon Park Kunhee Kim Hyunjung Shim DiffM 207 6 1 12 Sep 2024
DiffusionPen: Towards Controlling the Style of Handwritten Text GenerationEuropean Conference on Computer Vision (ECCV), 2024 Konstantina Nikolaidou George Retsinas Giorgos Sfikas Marcus Liwicki DiffM 226 10 0 09 Sep 2024
SongCreator: Lyrics-based Universal Song GenerationNeural Information Processing Systems (NeurIPS), 2024 Shun Lei Yixuan Zhou Boshi Tang Max W. Y. Lam Feng Liu Hangyu Liu Jingcheng Wu Shiyin Kang Zhiyong Wu Helen Meng 221 16 0 09 Sep 2024
Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion ModelsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Rohit Jena Ali Taghibakhshi Sahil Jain Gerald Shen Nima Tajbakhsh Arash Vahdat 348 7 0 09 Sep 2024
DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic CompensationEuropean Conference on Computer Vision (ECCV), 2024 Wenliang Zhao Haolin Wang Jie Zhou Jiwen Lu DiffM 143 7 0 05 Sep 2024
Neural Entropy Akhil Premkumar DiffM 370 2 0 05 Sep 2024
Sample-Efficient Diffusion for Text-To-Speech SynthesisInterspeech (Interspeech), 2024 Justin Lovelace Soham Ray Kwangyoun Kim Kilian Q. Weinberger Felix Wu 121 4 0 01 Sep 2024
Spiking Diffusion ModelsIEEE Transactions on Artificial Intelligence (IEEE TAI), 2024 Jiahang Cao Hanzhong Guo Ziqing Wang Deming Zhou Hao Cheng Qiang Zhang Renjing Xu DiffM 195 6 0 29 Aug 2024
MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning Yifu Yuan Zhenrui Zheng Zibin Dong Jianye Hao OffRL 301 4 0 28 Aug 2024
A Gray-box Attack against Latent Diffusion Model-based Image Editing by Posterior CollapseIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024 Zhongliang Guo Chun Tong Lei Lei Fang Yifei Qian Shuai Zhao Jingyu Lin Zeyu Wang Cunjian Chen Ognjen Arandjelovic Chun Pong Lau DiffM AAML 301 12 0 20 Aug 2024
Connective Viewpoints of Signal-to-Noise Diffusion Models Khanh Doan L. Vuong Tuan Nguyen Anh Tuan Bui Quyen Tran Thanh-Toan Do Dinh Q. Phung Trung Le DiffM 78 0 0 08 Aug 2024
Diffusion Guided Language ModelingAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Justin Lovelace Varsha Kishore Yiwei Chen Kilian Q. Weinberger 238 10 0 08 Aug 2024
ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative GenerationEuropean Conference on Computer Vision (ECCV), 2024 Jack Lu Ryan Teehan Mengye Ren DiffM 239 8 0 05 Aug 2024
Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference Hengrui Cai Huaqing Jin Lexin Li 178 1 0 02 Aug 2024
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable GenerationEuropean Conference on Computer Vision (ECCV), 2024 Linhan Xia Chen Tang Lingfeng Sun Simone Rossi Yichen Xie ... T. Hannagan Stefano Sabatini Nicola Poerio Seon-Phil Jeong Wei Zhan 207 15 0 01 Aug 2024
Diff3DETR:Agent-based Diffusion Model for Semi-supervised 3D Object DetectionEuropean Conference on Computer Vision (ECCV), 2024 Sachin Pathiyan Cherumanal Jiahao Lu Damiano Spina DiffM 280 9 0 01 Aug 2024
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2024 Liyuan Mao Haoran Xu Weinan Zhang Xianyuan Zhan Amy Zhang OffRL 291 26 0 29 Jul 2024
FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion ModelsACM Multimedia (MM), 2024 Mingzhao Yang Shangchao Su Bin Li Xiangyang Xue 172 12 0 29 Jul 2024
Temporal Feature Matters: A Framework for Diffusion Model QuantizationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Yushi Huang Yazhe Niu Xianglong Liu Jing Liu Yuhang Li Jiwen Lu Dacheng Tao MQ DiffM 561 4 0 28 Jul 2024
Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions Fabio Tosi Pierluigi Zama Ramirez Matteo Poggi DiffM MQ MDE 204 26 0 23 Jul 2024
Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives D. Hagos Rick Battle Danda B. Rawat LM&MA OffRL 371 74 0 20 Jul 2024
AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement Yunlong Lin Tian-Chun Ye Sixiang Chen Zhenqi Fu Yingying Wang Wenhao Chai Zhaohu Xing Lei Zhu Xinghao Ding DiffM 196 13 0 20 Jul 2024
Safe-SD: Safe and Traceable Stable Diffusion with Text Prompt Trigger for Invisible Generative Watermarking Zhiyuan Ma Guoli Jia Biqing Qi Bowen Zhou WIGM 308 17 0 18 Jul 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 222 3 0 12 Jul 2024
Several questions of visual generation in 2024 Shuyang Gu 160 2 0 11 Jul 2024
What's the score? Automated Denoising Score Matching for Nonlinear Diffusions Raghav Singhal Mark Goldstein Rajesh Ranganath DiffM 271 8 0 10 Jul 2024
Dynamical Measure Transport and Neural PDE Solvers for Sampling Jingtong Sun Julius Berner Lorenz Richter Marius Zeinhofer Johannes Müller Kamyar Azizzadenesheli Anima Anandkumar OT DiffM 196 17 0 10 Jul 2024
Controlling Space and Time with Diffusion Models Daniel Watson Saurabh Saxena Lala Li Andrea Tagliasacchi David J. Fleet VGen 369 51 0 10 Jul 2024
Entropy-Informed Weighting Channel Normalizing Flow for Deep Generative Models Wei Chen Shian Du Shigui Li Delu Zeng John Paisley 152 0 0 06 Jul 2024
Speed-accuracy relations for diffusion models: Wisdom from nonequilibrium thermodynamics and optimal transport Kotaro Ikeda Tomoya Uda Daisuke Okanohara Sosuke Ito DiffM 198 1 0 05 Jul 2024
Solutions to Deepfakes: Can Camera Hardware, Cryptography, and Deep Learning Verify Real Images? Alexander Vilesov Yuan Tian Nader Sehatbakhsh A. Kadambi 174 2 0 04 Jul 2024
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents Yilun Xu Gabriele Corso Tommi Jaakkola Arash Vahdat Karsten Kreis 264 20 0 03 Jul 2024
Improved Noise Schedule for Diffusion Training Tiankai Hang Shuyang Gu DiffM 243 29 0 03 Jul 2024