Variational Diffusion Models

1 July 2021

Papers citing "Variational Diffusion Models"

50 / 774 papers shown

Title
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration Longlin Yu Tianyu Xie Yu Zhu Tong Yang Xiangyu Zhang Cheng Zhang DiffM 24 6 0 26 Oct 2023
Local Statistics for Generative Image Detection Yung Jer Wong Teck Khim Ng DiffM 34 2 0 25 Oct 2023
Improving Diffusion Models for ECG Imputation with an Augmented Template Prior Alexander Jenkins Zehua Chen F. Ng Danilo Mandic DiffM 50 2 0 24 Oct 2023
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics Kaiwen Zheng Cheng Lu Jianfei Chen Jun Zhu DiffM 34 75 0 20 Oct 2023
Generative Marginalization Models Sulin Liu Peter J. Ramadge Ryan P. Adams 39 1 0 19 Oct 2023
Scalable Diffusion for Materials Generation Mengjiao Yang KwangHwan Cho Amil Merchant Pieter Abbeel Dale Schuurmans Igor Mordatch E. D. Cubuk 34 39 0 18 Oct 2023
Bayesian Flow Networks in Continual Learning Mateusz Pyla Kamil Deja Bartlomiej Twardowski Tomasz Trzciñski BDL 21 0 0 18 Oct 2023
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference Siqi Kou Lei Gan Dequan Wang Chongxuan Li Zhijie Deng BDL DiffM 23 7 0 17 Oct 2023
Real-Fake: Effective Training Data Synthesis Through Distribution Matching Jianhao Yuan Jie Zhang Shuyang Sun Philip Torr Bo Zhao 35 23 0 16 Oct 2023
Towards image compression with perfect realism at ultra-low bitrates Marlene Careil Matthew Muckley Jakob Verbeek Stéphane Lathuilière DiffM 32 48 0 16 Oct 2023
Towards More Accurate Diffusion Model Acceleration with A Timestep Aligner Mengfei Xia Yujun Shen Changsong Lei Yu Zhou Ran Yi Deli Zhao Wenping Wang Yong Liu 32 5 0 14 Oct 2023
MINDE: Mutual Information Neural Diffusion Estimation Giulio Franzese Mustapha Bounoua Pietro Michiardi DiffM 24 7 0 13 Oct 2023
Debias the Training of Diffusion Models Huikang Yu Li Shen Jie Huang Man Zhou Hongsheng Li Feng Zhao DiffM 32 3 0 12 Oct 2023
Neural Diffusion Models Grigory Bartosh Dmitry Vetrov C. A. Naesseth DiffM 34 7 0 12 Oct 2023
Interpretable Diffusion via Information Decomposition Xianghao Kong Ollie Liu Han Li Dani Yogatama Greg Ver Steeg 29 21 0 12 Oct 2023
ConditionVideo: Training-Free Condition-Guided Text-to-Video Generation Bo Peng Xinyuan Chen Yaohui Wang Chaochao Lu Yu Qiao DiffM VGen 27 7 0 11 Oct 2023
Multi-Concept T2I-Zero: Tweaking Only The Text Embeddings and Nothing Else Hazarapet Tunanyan Dejia Xu Shant Navasardyan Zhangyang Wang Humphrey Shi DiffM 88 7 0 11 Oct 2023
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning Yun Zhu Yaoke Wang Haizhou Shi Zhenshuo Zhang Dian Jiao Siliang Tang AI4CE 42 27 0 11 Oct 2023
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling Huangjie Zheng Zhendong Wang Jianbo Yuan Guanghan Ning Pengcheng He Quanzeng You Hongxia Yang Mingyuan Zhou 40 9 0 10 Oct 2023
Implicit Concept Removal of Diffusion Models Zhili Liu Kai Chen Yifan Zhang Jianhua Han Lanqing Hong Hang Xu Zhenguo Li Dit-Yan Yeung James T. Kwok 28 13 0 09 Oct 2023
Diffusion Random Feature Model Esha Saha Giang Tran DiffM 45 0 0 06 Oct 2023
Deep Generative Models of Music Expectation Ninon Lizé Masclef T. A. Keller DiffM 13 2 0 05 Oct 2023
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC Peiyu Yu Y. Zhu Sirui Xie Xiaojian Ma Ruiqi Gao Song-Chun Zhu Ying Nian Wu DiffM 39 12 0 05 Oct 2023
Efficient-3DiM: Learning a Generalizable Single-image Novel-view Synthesizer in One Day Yi Ding Hao Tang Jen-Hao Rick Chang Liangchen Song Zhangyang Wang Liangliang Cao DiffM 43 10 0 04 Oct 2023
Fast, Expressive SE $(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space Erik J. Bekkers Sharvaree P. Vadgama Rob D. Hesselink P. A. V. D. Linden David W. Romero 30 25 0 04 Oct 2023
Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods E. Zappala Daniel Levine Shiyang Zhang S. Rizvi Sacha Lévy David van Dijk 37 1 0 02 Oct 2023
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation Kangfu Mei M. Delbracio Hossein Talebi Zhengzhong Tu Vishal M. Patel P. Milanfar VLM DiffM 64 11 0 02 Oct 2023
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion Dongjun Kim Chieh-Hsin Lai Wei-Hsiang Liao Naoki Murata Yuhta Takida Toshimitsu Uesaka Yutong He Yuki Mitsufuji Stefano Ermon DiffM 46 177 0 01 Oct 2023
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey Yunhao Chen Zihui Yan Yunjie Zhu 41 3 0 30 Sep 2023
Directly Fine-Tuning Diffusion Models on Differentiable Rewards Amita Gajewar Paul Vicol G. Bansal David J Fleet 30 150 0 29 Sep 2023
Denoising Diffusion Bridge Models Linqi Zhou Aaron Lou Samar Khanna Stefano Ermon DiffM 43 67 0 29 Sep 2023
Intriguing properties of generative classifiers P. Jaini Kevin Clark Robert Geirhos BDL 33 34 0 28 Sep 2023
Distilling ODE Solvers of Diffusion Models into Smaller Steps Sanghwan Kim Hao Tang Fisher Yu 33 3 0 28 Sep 2023
Transformer-VQ: Linear-Time Transformers via Vector Quantization Albert Mohwald 36 15 0 28 Sep 2023
Training-free Linear Image Inverses via Flows Ashwini Pokle Matthew Muckley Ricky T. Q. Chen Brian Karrer 21 20 0 25 Sep 2023
Light Field Diffusion for Single-View Novel View Synthesis Yifeng Xiong Haoyu Ma Shanlin Sun Kun Han Hao Tang Xiaohui Xie DiffM 51 2 0 20 Sep 2023
Diffusion Models for Accurate Channel Distribution Generation Muah Kim Rick Fritschek Rafael F. Schaefer DiffM 31 8 0 19 Sep 2023
Diffusion Methods for Generating Transition Paths Luke Triplett Jianfeng Lu 25 5 0 19 Sep 2023
Speeding Up Speech Synthesis In Diffusion Models By Reducing Data Distribution Recovery Steps Via Content Transfer Peter Ochieng DiffM 33 0 0 18 Sep 2023
LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models Kazuto Nakashima Ryo Kurazume DiffM 22 27 0 17 Sep 2023
Enhance audio generation controllability through representation similarity regularization Yangyang Shi Gaël Le Lan Varun K. Nagaraja Zhaoheng Ni Xinhao Mei Ernie Chang Forrest N. Iandola Yang Liu Vikas Chandra 42 1 0 15 Sep 2023
Generalised Diffusion Probabilistic Scale-Spaces Pascal Peter DiffM 26 0 0 15 Sep 2023
Beta Diffusion Mingyuan Zhou Tianqi Chen Zhendong Wang Huangjie Zheng DiffM 29 10 0 14 Sep 2023
Elucidating the solution space of extended reverse-time SDE for diffusion models Qinpeng Cui Xinyi Zhang Zongqing Lu Qingmin Liao DiffM 38 5 0 12 Sep 2023
ITI-GEN: Inclusive Text-to-Image Generation Cheng Zhang Xuanbai Chen Siqi Chai Chen Henry Wu Dmitry Lagun Thabo Beeler Fernando de la Torre VLM 38 53 0 11 Sep 2023
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood Y. Zhu Jianwen Xie Yingnian Wu Ruiqi Gao DiffM 39 11 0 10 Sep 2023
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models Shuchen Xue Mingyang Yi Weijian Luo Shifeng Zhang Jiacheng Sun Zechao Li Zhi-Ming Ma DiffM 44 49 0 10 Sep 2023
Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models Dogyun Park Suhyun Kim EGVM 22 3 0 04 Sep 2023
An Ensemble Score Filter for Tracking High-Dimensional Nonlinear Dynamical Systems Feng Bao Zezhong Zhang Guannan Zhang DiffM 24 12 0 02 Sep 2023
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models Yunguan Fu Yiwen Li Shaheer U. Saeed Matthew J Clarkson Yipeng Hu DiffM MedIm 29 6 0 30 Aug 2023