Variational Diffusion Models

1 July 2021

Papers citing "Variational Diffusion Models"

50 / 774 papers shown

Title
REMEDI: Corrective Transformations for Improved Neural Entropy Estimation Viktor Nilsson Anirban Samaddar Sandeep Madireddy Pierre Nyquist 32 2 0 08 Feb 2024
Scalable Diffusion Models with State Space Backbone Zhengcong Fei Mingyuan Fan Changqian Yu Junshi Huang 72 34 0 08 Feb 2024
Denoising Diffusion Probabilistic Models in Six Simple Steps Richard Turner Cristiana-Diana Diaconu Stratis Markou Aliaksandra Shysheya Andrew Y. K. Foong Bruno Mlodozeniec DiffM 31 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 50 17 0 05 Feb 2024
Denoising Diffusion via Image-Based Rendering Titas Anciukevicius Fabian Manhardt Federico Tombari Paul Henderson 47 11 0 05 Feb 2024
Learning to Understand: Identifying Interactions via the Möbius Transform J. S. Kang Yigit Efe Erginbas Landon Butler Ramtin Pedarsani Kannan Ramchandran 30 3 0 04 Feb 2024
PromptRR: Diffusion Models as Prompt Generators for Single Image Reflection Removal Tao Wang Wanglong Lu Kaihao Zhang Wenhan Luo Tae-Kyun Kim Tong Lu Hongdong Li Ming-Hsuan Yang 36 5 0 04 Feb 2024
Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling Wenxuan Fang Wei Du Renchu He Yang Tang Yaochu Jin Gary G. Yen DiffM 49 5 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 37 13 0 04 Feb 2024
Diffusion Cross-domain Recommendation Yuner Xuan DiffM 46 3 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 39 21 0 03 Feb 2024
Precise Knowledge Transfer via Flow Matching Shitong Shao Zhiqiang Shen Linrui Gong Huanran Chen Xu Dai 34 2 0 03 Feb 2024
Robust Inverse Graphics via Probabilistic Inference Tuan Anh Le Pavel Sountsov Matthew D. Hoffman Ben Lee Brian Patton Rif A. Saurous 35 0 0 02 Feb 2024
DiffuserLite: Towards Real-time Diffusion Planning Zibin Dong Jianye Hao Yifu Yuan Fei Ni Yitian Wang Pengyi Li Yan Zheng 83 15 0 27 Jan 2024
Contractive Diffusion Probabilistic Models Wenpin Tang Hanyang Zhao DiffM 54 13 0 23 Jan 2024
Diffusion Model Conditioning on Gaussian Mixture Model and Negative Gaussian Mixture Gradient Weiguo Lu Xuan Wu Deng Ding Jinqiao Duan Jirong Zhuang Gangnan Yuan DiffM VLM 38 0 0 20 Jan 2024
T-FOLEY: A Controllable Waveform-Domain Diffusion Model for Temporal-Event-Guided Foley Sound Synthesis Yoonjin Chung Junwon Lee Juhan Nam 48 13 0 17 Jan 2024
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers Nanye Ma Mark Goldstein M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden Saining Xie DiffM 48 171 0 16 Jan 2024
Quantum Generative Diffusion Model: A Fully Quantum-Mechanical Model for Generating Quantum State Ensemble Chuangtao Chen Qinglin Zhao Mengchu Zhou Zhimin He Zhili Sun Haozhen Situ 47 2 0 13 Jan 2024
Demystifying Variational Diffusion Models Fabio De Sousa Ribeiro Ben Glocker DiffM 30 0 0 11 Jan 2024
ROIC-DM: Robust Text Inference and Classification via Diffusion Model Shilong Yuan Wei Yuan Hongzhi Yin Tieke He DiffM 33 2 0 07 Jan 2024
Fair Sampling in Diffusion Models through Switching Mechanism Yujin Choi Jinseong Park Hoki Kim Jaewook Lee Saeroom Park DiffM 29 6 0 06 Jan 2024
Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation Can Xu Haosen Wang Weigang Wang Pengfei Zheng Hongyang Chen DiffM 64 7 0 05 Jan 2024
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors Wasu Top Piriyakulkij Yingheng Wang Volodymyr Kuleshov DiffM 45 1 0 05 Jan 2024
DiffMorph: Text-less Image Morphing with Diffusion Models Shounak Chatterjee DiffM 15 0 0 01 Jan 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 26 35 0 01 Jan 2024
Diffusion Models With Learned Adaptive Noise Subham Sekhar Sahoo Aaron Gokaslan Christopher De Sa Volodymyr Kuleshov DiffM 44 8 0 20 Dec 2023
Intrinsic Image Diffusion for Indoor Single-view Material Estimation Peter Kocsis Vincent Sitzmann Matthias NieBner 34 15 0 19 Dec 2023
Robust Node Representation Learning via Graph Variational Diffusion Networks Jun Zhuang M. A. Hasan 23 7 0 18 Dec 2023
Continuous Diffusion for Mixed-Type Tabular Data Markus Mueller Kathrin Gruber Dennis Fok DiffM 64 5 0 16 Dec 2023
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 35 16 0 15 Dec 2023
Autoregressive fragment-based diffusion for pocket-aware ligand design Mahdi Ghorbani Leo Gendelev Paul Beroza Michael J. Keiser DiffM 31 8 0 15 Dec 2023
Motion Flow Matching for Human Motion Synthesis and Editing Vincent Tao Hu Wenzhe Yin Pingchuan Ma Yunlu Chen Basura Fernando Yuki M. Asano E. Gavves Pascal Mettes Bjorn Ommer Cees G. M. Snoek DiffM 37 19 0 14 Dec 2023
SceneWiz3D: Towards Text-guided 3D Scene Composition Qihang Zhang Chaoyang Wang Aliaksandr Siarohin Peiye Zhuang Yinghao Xu Ceyuan Yang Dahua Lin Bolei Zhou Sergey Tulyakov Hsin-Ying Lee 38 31 0 13 Dec 2023
AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image Editing Zhiyuan Ma Guoli Jia Bowen Zhou DiffM 55 8 0 13 Dec 2023
Boosting Latent Diffusion with Flow Matching Johannes S. Fischer Ming Gui Pingchuan Ma Nick Stracke S. A. Baumann Bjorn Ommer 27 20 0 12 Dec 2023
GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos Tomávs Souvcek Dima Damen Michael Wray Ivan Laptev Josef Sivic VGen 19 19 0 12 Dec 2023
A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models En-hao Liu Xuefei Ning Huazhong Yang Yu Wang DiffM 39 11 0 12 Dec 2023
Equivariant Flow Matching with Hybrid Probability Transport Yuxuan Song Jingjing Gong Minkai Xu Ziyao Cao Yanyan Lan Stefano Ermon Hao Zhou Wei-Ying Ma DiffM 41 46 0 12 Dec 2023
One-Step Diffusion Distillation via Deep Equilibrium Models Zhengyang Geng Ashwini Pokle Trevor Killeen 34 30 0 12 Dec 2023
Sherpa3D: Boosting High-Fidelity Text-to-3D Generation via Coarse 3D Prior Fangfu Liu Diankun Wu Yi Wei Yongming Rao Yueqi Duan DiffM 13 23 0 11 Dec 2023
ControlNet-XS: Designing an Efficient and Effective Architecture for Controlling Text-to-Image Diffusion Models Denis Zavadski Johann-Friedrich Feiden Carsten Rother DiffM 48 5 0 11 Dec 2023
Diffusion for Natural Image Matting Yihan Hu Yiheng Lin Wei Wang Yao-Min Zhao Yunchao Wei Humphrey Shi 36 7 0 10 Dec 2023
FreeFlow: A Comprehensive Understanding on Diffusion Probabilistic Models via Optimal Transport Bowen Sun Shibao Zheng OT 32 0 0 09 Dec 2023
CMMD: Contrastive Multi-Modal Diffusion for Video-Audio Conditional Modeling Ruihan Yang H. Gamper Sebastian Braun DiffM 34 5 0 08 Dec 2023
DiSK: A Diffusion Model for Structured Knowledge O. Kitouni Niklas Nolte James Hensman Bhaskar Mitra DiffM 33 3 0 08 Dec 2023
Investigating the Design Space of Diffusion Models for Speech Enhancement Philippe Gonzalez Zheng-Hua Tan Jan Østergaard Jesper Jensen T. S. Alstrøm Tobias May DiffM 33 6 0 07 Dec 2023
Inpaint3D: 3D Scene Content Generation using 2D Inpainting Diffusion Kira Prabhu Jane Wu Lynn Tsai Peter Hedman Dan B. Goldman Ben Poole Michael Broxton DiffM 31 7 0 06 Dec 2023
DiffusionSat: A Generative Foundation Model for Satellite Imagery Samar Khanna Patrick Liu Linqi Zhou Chenlin Meng Robin Rombach Marshall Burke David B. Lobell Stefano Ermon 32 58 0 06 Dec 2023
Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis Zehua Chen Guande He Kaiwen Zheng Xu Tan Jun Zhu DiffM 56 21 0 06 Dec 2023