Generating High Fidelity Data from Low-density Regions using Diffusion Models

31 March 2022

Cristian Canton Ferrer

DiffM

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Papers citing "Generating High Fidelity Data from Low-density Regions using Diffusion Models"

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Title
Noise-Consistent Siamese-Diffusion for Medical Image Synthesis and Segmentation Kunpeng Qiu Zhiqiang Gao Zhiying Zhou Mingjie Sun Yongxin Guo MedIm 29 0 0 09 May 2025
AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual Analysis Haroui Ma Francesco Quinzan Theresa Willem Stefan Bauer 76 0 0 28 Apr 2025
On the Generalization Properties of Diffusion Models Puheng Li Zhong Li Huishuai Zhang Jiang Bian 64 29 0 13 Mar 2025
Understanding Classifier-Free Guidance: High-Dimensional Theory and Non-Linear Generalizations Krunoslav Lehman Pavasovic Jakob Verbeek Giulio Biroli Marc Mézard 59 0 0 11 Feb 2025
Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Rafał Karczewski Markus Heinonen Vikas K. Garg DiffM 42 0 0 09 Feb 2025
TextSSR: Diffusion-based Data Synthesis for Scene Text Recognition Xingsong Ye Yongkun Du Yunbo Tao Z. Chen DiffM 96 0 0 02 Dec 2024
Contrastive CFG: Improving CFG in Diffusion Models by Contrasting Positive and Negative Concepts J. Chang Hyungjin Chung Jong Chul Ye FaML DiffM 92 0 0 26 Nov 2024
Image Generation Diversity Issues and How to Tame Them Mischa Dombrowski Weitong Zhang Sarah Cechnicka Hadrien Reynaud Bernhard Kainz 67 0 0 25 Nov 2024
Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models? Zeliang Zhang Xin Liang Mingqian Feng Susan Liang Chenliang Xu 34 1 0 14 Oct 2024
ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation Jack Lu Ryan Teehan Mengye Ren DiffM 27 3 0 05 Aug 2024
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget Vikash Sehwag Xianghao Kong Jingtao Li Michael Spranger Lingjuan Lyu DiffM 32 8 0 22 Jul 2024
Self-Guided Generation of Minority Samples Using Diffusion Models Soobin Um Jong Chul Ye DiffM 20 4 0 16 Jul 2024
Consistency-diversity-realism Pareto fronts of conditional image generative models Pietro Astolfi Marlene Careil Melissa Hall Oscar Manas Matthew Muckley Jakob Verbeek Adriana Romero Soriano M. Drozdzal 45 10 0 14 Jun 2024
Towards Realistic Data Generation for Real-World Super-Resolution Long Peng Wenbo Li Renjing Pei Jingjing Ren Xueyang Fu Yang Wang Yang Cao Zheng-Jun Zha 32 16 0 11 Jun 2024
Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance Reyhane Askari Hemmat Melissa Hall Alicia Sun Candace Ross M. Drozdzal Adriana Romero Soriano 38 4 0 06 Jun 2024
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees E. Nehme Rotem Mulayoff T. Michaeli UQCV 29 2 0 24 May 2024
Skull-to-Face: Anatomy-Guided 3D Facial Reconstruction and Editing Yongqing Liang Congyi Zhang Junli Zhao Wenping Wang Xin Li 3DH 27 2 0 24 Mar 2024
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process Xinyao Fan Yueying Wu Chang Xu Yu-Hao Huang Weiqing Liu Jiang Bian DiffM 18 20 0 09 Mar 2024
GUIDE: Guidance-based Incremental Learning with Diffusion Models Bartosz Cywiñski Kamil Deja Tomasz Trzciñski Bartlomiej Twardowski Lukasz Kuciñski DiffM 28 3 0 06 Mar 2024
Uncertainty Visualization via Low-Dimensional Posterior Projections Omer Yair E. Nehme T. Michaeli UQCV 25 2 0 12 Dec 2023
CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling Seyedmorteza Sadat Jakob Buhmann Derek Bradley Otmar Hilliges Romann M. Weber DiffM 10 38 0 26 Oct 2023
From Posterior Sampling to Meaningful Diversity in Image Restoration Noa Cohen Hila Manor Yuval Bahat T. Michaeli DiffM 22 10 0 24 Oct 2023
Unsupervised Discovery of Interpretable Directions in h-space of Pre-trained Diffusion Models Zijian Zhang Luping Liu Zhijie Lin Yichen Zhu Zhou Zhao DiffM 18 4 0 15 Oct 2023
Completing Visual Objects via Bridging Generation and Segmentation Xiang Li Yinpeng Chen Chung-Ching Lin Hao Chen Kai Hu Rita Singh Bhiksha Raj Lijuan Wang Zicheng Liu DiffM 14 4 0 01 Oct 2023
Feedback-guided Data Synthesis for Imbalanced Classification Reyhane Askari Hemmat Mohammad Pezeshki Florian Bordes M. Drozdzal Adriana Romero Soriano SyDa 8 10 0 29 Sep 2023
AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive Computation Shengkun Tang Yaqing Wang Maksim Dzhigil Yi Liang Y. Li Dongkuan Xu 27 5 0 29 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models Xuefeng Du Yiyou Sun Xiaojin Zhu Yixuan Li 13 52 0 23 Sep 2023
VIDES: Virtual Interior Design via Natural Language and Visual Guidance Minh-Hien Le Chi-Bien Chu Khanh-Duy Le Tam V. Nguyen Minh-Triet Tran Trung-Nghia Le 23 2 0 26 Aug 2023
Inversion-by-Inversion: Exemplar-based Sketch-to-Photo Synthesis via Stochastic Differential Equations without Training Ximing Xing Chuan Wang Haitao Zhou Zhihao Hu Chongxuan Li Dong Xu Qian Yu DiffM 17 1 0 15 Aug 2023
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry Yong-Hyun Park Mingi Kwon J. Choi Junghyo Jo Youngjung Uh DiffM 30 60 0 24 Jul 2023
Fuzzy-Conditioned Diffusion and Diffusion Projection Attention Applied to Facial Image Correction Majed El Helou DiffM 13 0 0 26 Jun 2023
Distribution Shift Inversion for Out-of-Distribution Prediction Runpeng Yu Songhua Liu Xingyi Yang Xinchao Wang OODD 13 18 0 14 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang G. Koulieris Hubert P. H. Shum DiffM 27 50 0 07 Jun 2023
PaintSeg: Training-free Segmentation via Painting Xiang Li Chung-Ching Lin Yinpeng Chen Zicheng Liu Jinglu Wang Bhiksha Raj 27 5 0 30 May 2023
DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models Yingqian Cui J. Ren Han Xu Pengfei He Hui Liu Lichao Sun Yue Xing Jiliang Tang WIGM 14 37 0 25 May 2023
Class-Balancing Diffusion Models Yiming Qin Huangjie Zheng Jiangchao Yao Mingyuan Zhou Ya-Qin Zhang DiffM 22 41 0 30 Apr 2023
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing Xiaodan Li YueFeng Chen Yao Zhu Shuhui Wang Rong Zhang Hui Xue 21 24 0 30 Mar 2023
Training-free Content Injection using h-space in Diffusion Models Jaeseok Jeong Mingi Kwon Youngjung Uh DiffM 13 24 0 27 Mar 2023
Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-Type Samplers Sitan Chen Giannis Daras A. Dimakis DiffM 13 62 0 06 Mar 2023
Unsupervised Discovery of Semantic Latent Directions in Diffusion Models Yong-Hyun Park Mingi Kwon Junghyo Jo Youngjung Uh DiffM 28 22 0 24 Feb 2023
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent Giannis Daras Y. Dagan A. Dimakis C. Daskalakis DiffM 25 42 0 17 Feb 2023
Don't Play Favorites: Minority Guidance for Diffusion Models Soo Bin Um Suhyeon Lee Jong Chul Ye DiffM 16 21 0 29 Jan 2023
Diffusion-based Conditional ECG Generation with Structured State Space Models Juan Miguel Lopez Alcaraz Nils Strodthoff DiffM 16 47 0 19 Jan 2023
Diffusion Models already have a Semantic Latent Space Mingi Kwon Jaeseok Jeong Youngjung Uh 15 247 0 20 Oct 2022
All are Worth Words: A ViT Backbone for Diffusion Models Fan Bao Shen Nie Kaiwen Xue Yue Cao Chongxuan Li Hang Su Jun Zhu VLM 9 312 0 25 Sep 2022
Part-Based Models Improve Adversarial Robustness Chawin Sitawarin Kornrapat Pongmala Yizheng Chen Nicholas Carlini David A. Wagner 39 11 0 15 Sep 2022
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models Chen Henry Wu Saman Motamed Shaunak Srivastava Fernando De la Torre VLM DiffM 6 34 0 14 Sep 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 188 1,098 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 221 1,277 0 02 Sep 2022
Exploring Chemical Space with Score-based Out-of-distribution Generation Seul Lee Jaehyeong Jo S. Hwang OODD 28 72 0 06 Jun 2022