Non Gaussian Denoising Diffusion Models

14 June 2021

Eliya Nachmani

Robin San Roman

Lior Wolf

VLM

DiffM

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Papers citing "Non Gaussian Denoising Diffusion Models"

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Title
Scalable, Tokenization-Free Diffusion Model Architectures with Efficient Initial Convolution and Fixed-Size Reusable Structures for On-Device Image Generation Sanchar Palit Sathya Veera Reddy Dendi Mallikarjuna Talluri Raj Narayana Gadde 36 0 0 09 Nov 2024
Structured Diffusion Models with Mixture of Gaussians as Prior Distribution Nanshan Jia Tingyu Zhu Haoyu Liu Zeyu Zheng DiffM 18 2 0 24 Oct 2024
Directly Denoising Diffusion Models Dan Zhang Jingjing Wang Feng Luo DiffM 36 2 0 22 May 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 28 0 0 20 Jan 2024
Fast Sampling via Discrete Non-Markov Diffusion Models Zixiang Chen Huizhuo Yuan Yongqian Li Yiwen Kou Junkai Zhang Quanquan Gu DiffM 24 5 0 14 Dec 2023
Diffusion-C: Unveiling the Generative Challenges of Diffusion Models through Corrupted Data Keywoong Bae Suan Lee Wookey Lee DiffM 26 1 0 14 Dec 2023
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation B. Ke Anton Obukhov Shengyu Huang Nando Metzger Rodrigo Caye Daudt Konrad Schindler VLM MDE 27 142 0 04 Dec 2023
Fully Spiking Denoising Diffusion Implicit Models Ryo Watanabe Yusuke Mukuta Tatsuya Harada DiffM 21 3 0 04 Dec 2023
Improved DDIM Sampling with Moment Matching Gaussian Mixtures Prasad Gabbur DiffM 18 1 0 08 Nov 2023
Gaussian Mixture Solvers for Diffusion Models Hanzhong Guo Cheng Lu Fan Bao Tianyu Pang Shuicheng Yan Chao Du Chongxuan Li 28 9 0 02 Nov 2023
Memory in Plain Sight: Surveying the Uncanny Resemblances of Associative Memories and Diffusion Models Benjamin Hoover Hendrik Strobelt Dmitry Krotov Judy Hoffman Z. Kira Duen Horng Chau DiffM 25 4 0 28 Sep 2023
Stage-by-stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT Reconstruction Kai Xu Shiyu Lu Bin Huang Weiwen Wu Qie-gen Liu DiffM 11 21 0 30 Aug 2023
An Efficient 1 Iteration Learning Algorithm for Gaussian Mixture Model And Gaussian Mixture Embedding For Neural Network Weiguo Lu Xuan Wu Deng Ding Gangnan Yuan BDL 30 1 0 18 Aug 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang G. Koulieris Hubert P. H. Shum DiffM 27 52 0 07 Jun 2023
GlyphDiffusion: Text Generation as Image Generation Junyi Li Wayne Xin Zhao J. Nie Ji-Rong Wen DiffM 21 2 0 25 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 24 501 0 07 Mar 2023
A Complete Recipe for Diffusion Generative Models Kushagra Pandey Stephan Mandt DiffM 41 8 0 03 Mar 2023
Optimizing DDPM Sampling with Shortcut Fine-Tuning Ying Fan Kangwook Lee 15 52 0 31 Jan 2023
Understanding and contextualising diffusion models Stefano Scotta A. Messina DiffM 24 1 0 26 Jan 2023
DiffPose: Toward More Reliable 3D Pose Estimation Jia Gong Lin Geng Foo Zhipeng Fan Qiuhong Ke Hossein Rahmani J. Liu DiffM 25 115 0 30 Nov 2022
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance Chen Henry Wu Fernando De la Torre DiffM 26 66 0 11 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 41 104 0 11 Oct 2022
Efficient Diffusion Models for Vision: A Survey Anwaar Ulhaq Naveed Akhtar MedIm 32 59 0 07 Oct 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 191 1,133 0 10 Sep 2022
Wavelet Score-Based Generative Modeling Florentin Guth Simon Coste Valentin De Bortoli S. Mallat DiffM 24 51 0 09 Aug 2022
Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation Sheng-liang Li Guangcong Zheng Haibo Wang Taiping Yao Yang Chen Shoudong Ding Xi Li DiffM 19 22 0 23 Jun 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models Dongjun Kim Byeonghu Na S. Kwon Dongsoo Lee Wanmo Kang Il-Chul Moon DiffM 208 51 0 27 May 2022
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality Daniel Watson William Chan Jonathan Ho Mohammad Norouzi DiffM BDL 19 178 0 11 Feb 2022
Heavy-tailed denoising score matching J. Deasy Nikola Simidjievski Pietro Lio' DiffM 23 14 0 17 Dec 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Zhisheng Xiao Karsten Kreis Arash Vahdat DiffM 28 536 0 15 Dec 2021
High Fidelity Speech Synthesis with Adversarial Networks Mikolaj Binkowski Jeff Donahue Sander Dieleman Aidan Clark Erich Elsen Norman Casagrande Luis C. Cobo Karen Simonyan 215 239 0 25 Sep 2019