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Elucidating the Design Space of Diffusion-Based Generative Models

1 June 2022

Papers citing "Elucidating the Design Space of Diffusion-Based Generative Models"

50 / 1,449 papers shown

Title
Continuous-Time Functional Diffusion Processes Giulio Franzese Dario Rossi Simone Rossi Markus Heinonen Maurizio Filippone Pietro Michiardi 116 27 0 01 Mar 2023
Denoising Diffusion Samplers Francisco Vargas Will Grathwohl Arnaud Doucet DiffM 89 91 0 27 Feb 2023
Directed Diffusion: Direct Control of Object Placement through Attention Guidance W. Ma J. P. Lewis Avisek Lahiri Thomas Leung W. Kleijn DiffM 111 68 0 25 Feb 2023
Unsupervised Discovery of Semantic Latent Directions in Diffusion Models Yong-Hyun Park Mingi Kwon Junghyo Jo Youngjung Uh DiffM 111 24 0 24 Feb 2023
Controlled and Conditional Text to Image Generation with Diffusion Prior Pranav Aggarwal Hareesh Ravi Naveen Marri Sachin Kelkar F. Chen ... Alvin Ghouas Sarah Saber Malavika Ramprasad Baldo Faieta Ajinkya Kale DiffM 102 7 0 23 Feb 2023
On Calibrating Diffusion Probabilistic Models Tianyu Pang Cheng Lu Chao Du Min Lin Shuicheng Yan Zhijie Deng DiffM 106 2 0 21 Feb 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels Zebin You Yong Zhong Fan Bao Jiacheng Sun Chongxuan Li Jun Zhu DiffM VLM 285 42 0 21 Feb 2023
Learning Gradually Non-convex Image Priors Using Score Matching Erich Kobler Thomas Pock 88 3 0 21 Feb 2023
Modelos Generativos basados en Mecanismos de Difusión J. D. L. Torre DiffM 36 0 0 18 Feb 2023
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent Giannis Daras Y. Dagan A. Dimakis C. Daskalakis DiffM 133 49 0 17 Feb 2023
Boundary Guided Learning-Free Semantic Control with Diffusion Models Ye Zhu Yuehua Wu Zhiwei Deng Olga Russakovsky Yan Yan DiffM 115 23 0 16 Feb 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization Zhiqing Sun Yiming Yang DiffM 112 133 0 16 Feb 2023
PRedItOR: Text Guided Image Editing with Diffusion Prior Hareesh Ravi Sachin Kelkar Midhun Harikumar Ajinkya Kale DiffM 107 12 0 15 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 150 23 0 13 Feb 2023
I $^2$ SB: Image-to-Image Schrödinger Bridge Guan-Horng Liu Arash Vahdat De-An Huang Evangelos A. Theodorou Weili Nie Anima Anandkumar DiffM 119 155 0 12 Feb 2023
A Reparameterized Discrete Diffusion Model for Text Generation Lin Zheng Jianbo Yuan Lei Yu Lingpeng Kong DiffM 151 70 0 11 Feb 2023
Better Diffusion Models Further Improve Adversarial Training Zekai Wang Tianyu Pang Chao Du Min Lin Weiwei Liu Shuicheng Yan DiffM 106 228 0 09 Feb 2023
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models Yilun Xu Ziming Liu Yonglong Tian Shangyuan Tong Max Tegmark Tommi Jaakkola AI4CE DiffM 99 72 0 08 Feb 2023
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness Yuancheng Xu Yanchao Sun Micah Goldblum Tom Goldstein Furong Huang AAML 92 38 0 06 Feb 2023
Structure and Content-Guided Video Synthesis with Diffusion Models Patrick Esser Johnathan Chiu Parmida Atighehchian Jonathan Granskog Anastasis Germanidis DiffM VGen 194 539 0 06 Feb 2023
Mixture of Diffusers for scene composition and high resolution image generation Á. Jiménez DiffM 73 46 0 05 Feb 2023
Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion Zuopeng Yang Tianshu Chu Xin Lin Erdun Gao Daqing Liu J. Yang Chaoyue Wang DiffM 84 21 0 05 Feb 2023
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval Kexun Zhang Xianjun Yang William Yang Wang Lei Li DiffM 118 10 0 05 Feb 2023
SE(3) diffusion model with application to protein backbone generation Jason Yim Brian L. Trippe Valentin De Bortoli Emile Mathieu Arnaud Doucet Regina Barzilay Tommi Jaakkola DiffM 127 211 0 05 Feb 2023
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation Giorgio Mariani Irene Tallini Emilian Postolache Michele Mancusi Luca Cosmo Emanuele Rodolà DiffM 155 43 0 04 Feb 2023
A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization Yasong Feng Weijian Luo Yimin Huang Tianyu Wang 63 8 0 03 Feb 2023
Dreamix: Video Diffusion Models are General Video Editors Eyal Molad Eliahu Horwitz Dani Valevski Alex Rav-Acha Yossi Matias Yael Pritch Yaniv Leviathan Yedid Hoshen DiffM VGen 133 188 0 02 Feb 2023
A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models Litu Rout Advait Parulekar Constantine Caramanis Sanjay Shakkottai DiffM 90 58 0 02 Feb 2023
Stable Target Field for Reduced Variance Score Estimation in Diffusion Models Yilun Xu Shangyuan Tong Tommi Jaakkola DiffM 95 31 0 01 Feb 2023
Don't Play Favorites: Minority Guidance for Diffusion Models Soo Bin Um Suhyeon Lee Jong Chul Ye DiffM 107 26 0 29 Jan 2023
Minimizing Trajectory Curvature of ODE-based Generative Models Sangyun Lee Beomsu Kim Jong Chul Ye 152 60 0 27 Jan 2023
Input Perturbation Reduces Exposure Bias in Diffusion Models Mang Ning E. Sangineto Angelo Porrello Simone Calderara Rita Cucchiara DiffM 96 67 0 27 Jan 2023
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods Suttisak Wizadwongsa Supasorn Suwajanakorn DiffM 104 14 0 27 Jan 2023
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models Biao Zhang Jiapeng Tang Matthias Niessner Peter Wonka DiffM 201 221 0 26 Jan 2023
On the Importance of Noise Scheduling for Diffusion Models Ting Chen DiffM 125 161 0 26 Jan 2023
On the Mathematics of Diffusion Models David A. McAllester DiffM 83 11 0 25 Jan 2023
Membership Inference of Diffusion Models Hailong Hu Jun Pang 84 39 0 24 Jan 2023
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis Axel Sauer Tero Karras S. Laine Andreas Geiger Timo Aila 99 219 0 23 Jan 2023
Provable Unrestricted Adversarial Training without Compromise with Generalizability Lili Zhang Ning Yang Yanchao Sun Philip S. Yu AAML 84 2 0 22 Jan 2023
Removing Structured Noise with Diffusion Models Tristan S.W. Stevens Hans van Gorp F. C. Meral Junseob Shin Jason Yu Jean-Luc Robert Ruud J. G. van Sloun DiffM 132 2 0 20 Jan 2023
Fast Inference in Denoising Diffusion Models via MMD Finetuning Emanuele Aiello D. Valsesia E. Magli DiffM 61 5 0 19 Jan 2023
Mathematical analysis of singularities in the diffusion model under the submanifold assumption Yubin Lu Zhongjian Wang G. Bal DiffM 90 10 0 19 Jan 2023
A Residual Diffusion Model for High Perceptual Quality Codec Augmentation Noor Fathima Ghouse Jens Petersen Auke Wiggers Tianlin Xu Guillaume Sautière DiffM 107 22 0 13 Jan 2023
Thompson Sampling with Diffusion Generative Prior Yu-Guan Hsieh S. Kasiviswanathan Branislav Kveton Patrick Blobaum DiffM 60 7 0 12 Jan 2023
OrthoGAN:High-Precision Image Generation for Teeth Orthodontic Visualization Feihong Shen Jingjing Liu Hai-Zhen Li B. Fang Chenglong Ma Jinxiang Hao Yang Feng Youyi Zheng Youyi Zheng MedIm DiffM 224 1 0 29 Dec 2022
Scalable Adaptive Computation for Iterative Generation Allan Jabri David Fleet Ting-Li Chen DiffM 85 117 0 22 Dec 2022
Scalable Diffusion Models with Transformers William S. Peebles Saining Xie GNN 198 2,441 0 19 Dec 2022
Point-E: A System for Generating 3D Point Clouds from Complex Prompts Alex Nichol Heewoo Jun Prafulla Dhariwal Pamela Mishkin Mark Chen DiffM 163 616 0 16 Dec 2022
RGBD2: Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models Jiabao Lei Jiapeng Tang Kui Jia DiffM 103 38 0 12 Dec 2022
M-VADER: A Model for Diffusion with Multimodal Context Samuel Weinbach Marco Bellagente C. Eichenberg Andrew M. Dai R. Baldock Souradeep Nanda Bjorn Deiseroth Koen Oostermeijer H. Teufel Andres Felipe Cruz Salinas DiffM 192 11 0 06 Dec 2022