Score-Based Generative Classifiers

1 October 2021

Papers citing "Score-Based Generative Classifiers"

41 / 41 papers shown

Title
Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review Abdullah Tao Huang Ickjai Lee E. Ahn MedIm 19 0 0 09 May 2025
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Yinqi Li Hong Chang Ruibing Hou Shiguang Shan Xilin Chen DiffM 50 0 0 24 Apr 2025
Language-Depth Navigated Thermal and Visible Image Fusion Jinchang Zhang Zijun Li Guoyu Lu MDE 61 1 0 11 Mar 2025
Mitigating Hallucinations in Diffusion Models through Adaptive Attention Modulation Trevine Oorloff Yaser Yacoob Abhinav Shrivastava 46 0 0 24 Feb 2025
Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rongkun Xue Jinouwen Zhang Yazhe Niu Dazhong Shen Bingqi Ma Yu Liu Jing Yang 70 0 0 29 Nov 2024
From Graph Diffusion to Graph Classification Jia Jun Cheng Xian Sadegh Mahdavi Renjie Liao Oliver Schulte GNN DiffM 77 0 0 26 Nov 2024
Supervised Score-Based Modeling by Gradient Boosting Changyuan Zhao Hongyang Du Guangyuan Liu Dusit Niyato DiffM 36 0 0 02 Nov 2024
BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models Chengkun Sun Jinqian Pan Russell Stevens Terry Jiang Bian Jie Xu DiffM 20 0 0 19 Sep 2024
Sub-graph Based Diffusion Model for Link Prediction Hang Li Wei Jin Geri Skenderi Harry Shomer Wenzhuo Tang Wenqi Fan Jiliang Tang DiffM 26 0 0 13 Sep 2024
CT-SDM: A Sampling Diffusion Model for Sparse-View CT Reconstruction across All Sampling Rates Liutao Yang Jiahao Huang Guang Yang Daoqiang Zhang DiffM 29 0 0 03 Sep 2024
This Probably Looks Exactly Like That: An Invertible Prototypical Network Zachariah Carmichael Timothy Redgrave Daniel Gonzalez Cedre Walter J. Scheirer BDL 37 2 0 16 Jul 2024
Diffusion Models and Representation Learning: A Survey Michael Fuest Pingchuan Ma Ming Gui Johannes S. Fischer Vincent Tao Hu Bjorn Ommer DiffM 24 19 0 30 Jun 2024
Generative vs. Discriminative modeling under the lens of uncertainty quantification Elouan Argouarc'h François Desbouvries Eric Barat Eiji Kawasaki UQCV 26 1 0 13 Jun 2024
Solar synthetic imaging: Introducing denoising diffusion probabilistic models on SDO/AIA data Francesco P. Ramunno S. Hackstein V. Kinakh M. Drozdova Guillaume Quétant A. Csillaghy S. Voloshynovskiy AI4CE DiffM 20 3 0 03 Apr 2024
IDF-CR: Iterative Diffusion Process for Divide-and-Conquer Cloud Removal in Remote-sensing Images Meilin Wang Yexing Song Pengxu Wei Xiaoyu Xian Yukai Shi Liang Lin DiffM 33 11 0 18 Mar 2024
InstructGIE: Towards Generalizable Image Editing Zichong Meng Changdi Yang Jun Liu Hao Tang Pu Zhao Yanzhi Wang DiffM 39 6 0 08 Mar 2024
Privacy Threats in Stable Diffusion Models Thomas Cilloni Charles Fleming Charles Walter 22 3 0 15 Nov 2023
Training Image Derivatives: Increased Accuracy and Universal Robustness V. Avrutskiy 36 0 0 21 Oct 2023
Intriguing properties of generative classifiers P. Jaini Kevin Clark Robert Geirhos BDL 25 33 0 28 Sep 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
Bridge Diffusion Model: bridge non-English language-native text-to-image diffusion model with English communities Shanyuan Liu Dawei Leng Yuhui Yin DiffM 13 7 0 02 Sep 2023
DifFSS: Diffusion Model for Few-Shot Semantic Segmentation Weimin Tan Siyuan Chen Bo Yan DiffM 19 24 0 03 Jul 2023
Robust Classification via a Single Diffusion Model Huanran Chen Yinpeng Dong Zhengyi Wang X. Yang Chen-Dong Duan Hang Su Jun Zhu 74 56 0 24 May 2023
GSURE-Based Diffusion Model Training with Corrupted Data Bahjat Kawar Noam Elata T. Michaeli Michael Elad DiffM 29 27 0 22 May 2023
SpectralDiff: A Generative Framework for Hyperspectral Image Classification with Diffusion Models Ning Chen Jun Yue Leyuan Fang Shaobo Xia DiffM 22 56 0 12 Apr 2023
Your Diffusion Model is Secretly a Zero-Shot Classifier Alexander C. Li Mihir Prabhudesai Shivam Duggal Ellis L Brown Deepak Pathak DiffM VLM 33 223 0 28 Mar 2023
Denoising Diffusion Autoencoders are Unified Self-supervised Learners Weilai Xiang Hongyu Yang Di Huang Yunhong Wang DiffM 12 69 0 17 Mar 2023
Stochastic Segmentation with Conditional Categorical Diffusion Models L. Zbinden Lars Doorenbos Theodoros Pissas Adrian Thomas Huber Raphael Sznitman Pablo Márquez-Neila DiffM 32 30 0 15 Mar 2023
Editing Implicit Assumptions in Text-to-Image Diffusion Models Hadas Orgad Bahjat Kawar Yonatan Belinkov DiffM 19 86 0 14 Mar 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 46 22 0 13 Feb 2023
Dif-Fusion: Towards High Color Fidelity in Infrared and Visible Image Fusion with Diffusion Models Jun Yue Leyuan Fang Shaobo Xia Yue Deng Jiayi Ma DiffM 21 90 0 19 Jan 2023
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers Wanqian Yang Polina Kirichenko Micah Goldblum A. Wilson DRL 6 10 0 28 Nov 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey A. Kazerouni Ehsan Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz I. Hacihaliloglu Dorit Merhof DiffM MedIm 35 354 0 14 Nov 2022
Imagic: Text-Based Real Image Editing with Diffusion Models Bahjat Kawar Shiran Zada Oran Lang Omer Tov Hui-Tang Chang Tali Dekel Inbar Mosseri Michal Irani 11 1,048 0 17 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
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 224 1,296 0 02 Sep 2022
Classification via score-based generative modelling Yongchao Huang DiffM 11 2 0 22 Jul 2022
Semantic uncertainty intervals for disentangled latent spaces S. Sankaranarayanan Anastasios Nikolas Angelopoulos Stephen Bates Yaniv Romano Phillip Isola UQCV 21 21 0 20 Jul 2022
Increasing Confidence in Adversarial Robustness Evaluations Roland S. Zimmermann Wieland Brendel Florian Tramèr Nicholas Carlini AAML 36 16 0 28 Jun 2022
CARD: Classification and Regression Diffusion Models Xizewen Han Huangjie Zheng Mingyuan Zhou DiffM 38 107 0 15 Jun 2022
Score matching enables causal discovery of nonlinear additive noise models Paul Rolland V. Cevher Matthäus Kleindessner Chris Russel Bernhard Schölkopf Dominik Janzing Francesco Locatello CML 35 83 0 08 Mar 2022