CARD: Classification and Regression Diffusion Models

15 June 2022

Xizewen Han

Huangjie Zheng

Mingyuan Zhou

DiffM

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Papers citing "CARD: Classification and Regression Diffusion Models"

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Title
Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion Zhilun Zhou Jingtao Ding Yu Liu Depeng Jin Yong Li DiffM AI4CE 23 7 0 19 Sep 2023
Beta Diffusion Mingyuan Zhou Tianqi Chen Zhendong Wang Huangjie Zheng DiffM 11 10 0 14 Sep 2023
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation Xingchao Liu Xiwen Zhang Jianzhu Ma Jian Peng Qiang Liu 88 192 0 12 Sep 2023
Contrastive Conditional Latent Diffusion for Audio-visual Segmentation Yuxin Mao Jing Zhang Mochu Xiang Yun-Qiu Lv Yiran Zhong Yuchao Dai DiffM 16 28 0 31 Jul 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang G. Koulieris Hubert P. H. Shum DiffM 18 50 0 07 Jun 2023
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels Jian Chen Ruiyi Zhang Tong Yu Rohan Sharma Zhiqiang Xu Tong Sun Changyou Chen DiffM 17 7 0 31 May 2023
Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling Tianqi Chen Mingyuan Zhou DiffM 38 7 0 28 May 2023
DiffBFR: Bootstrapping Diffusion Model Towards Blind Face Restoration Xin Qiu Congying Han Zicheng Zhang Bonan Li Tiande Guo Xuecheng Nie DiffM 9 14 0 08 May 2023
In-Context Learning Unlocked for Diffusion Models Zhendong Wang Yifan Jiang Yadong Lu Yelong Shen Pengcheng He Weizhu Chen Zhangyang Wang Mingyuan Zhou VLM DiffM 86 68 0 01 May 2023
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification Yijun Yang H. Fu Angelica I. Aviles-Rivero Carola-Bibiane Schönlieb Lei Zhu MedIm 77 47 0 19 Mar 2023
HumanMAC: Masked Motion Completion for Human Motion Prediction Ling-Hao Chen Jiawei Zhang Ye-rong Li Yiren Pang Xiaobo Xia Tongliang Liu DiffM VGen 22 54 0 07 Feb 2023
Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper -- Michael Elad Bahjat Kawar Gregory Vaksman 16 70 0 09 Jan 2023
Spot the fake lungs: Generating Synthetic Medical Images using Neural Diffusion Models Hazrat Ali Shafaq Murad Zubair Shah DiffM MedIm 19 36 0 02 Nov 2022
JPEG Artifact Correction using Denoising Diffusion Restoration Models Bahjat Kawar Jiaming Song Stefano Ermon Michael Elad DiffM 37 52 0 23 Sep 2022
A Survey on Generative Diffusion Model Hanqun Cao Cheng Tan Zhangyang Gao Yilun Xu Guangyong Chen Pheng-Ann Heng Stan Z. Li MedIm 34 195 0 06 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 211 1,277 0 02 Sep 2022
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance Bahjat Kawar Roy Ganz Michael Elad DiffM 6 38 0 18 Aug 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 202 770 0 27 Jan 2022
Human-AI Collaboration with Bandit Feedback Ruijiang Gao M. Saar-Tsechansky Maria De-Arteaga Ligong Han Min Kyung Lee Matthew Lease 38 48 0 22 May 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 199 392 0 10 Feb 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks Hieu H. Pham Quoc V. Le 55 50 0 05 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015
MCMC using Hamiltonian dynamics Radford M. Neal 127 3,260 0 09 Jun 2012