Learning Data Representations with Joint Diffusion Models

Learning Data Representations with Joint Diffusion Models

31 January 2023

Tomasz Trzciñski

Jakub M. Tomczak

Papers citing "Learning Data Representations with Joint Diffusion Models"

13 / 13 papers shown

Title
Noise Optimized Conditional Diffusion for Domain Adaptation Lingkun Luo Shiqiang Hu Liming Luke Chen DiffM 42 0 0 12 May 2025
SARA: Structural and Adversarial Representation Alignment for Training-efficient Diffusion Models Hesen Chen Junyan Wang Zhiyu Tan Hao Li 58 0 0 11 Mar 2025
Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-Identification Jiachen Li Xiaojin Gong DiffM 84 0 0 10 Feb 2025
Beyond Batch Learning: Global Awareness Enhanced Domain Adaptation Lingkun Luo Shiqiang Hu Liming Luke Chen 89 0 0 10 Feb 2025
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling Xiao Li Zekai Zhang Xiang Li Siyi Chen Zhihui Zhu Peng Wang Qing Qu DiffM 51 0 0 09 Feb 2025
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think Sihyun Yu Sangkyung Kwak Huiwon Jang Jongheon Jeong Jonathan Huang Jinwoo Shin Saining Xie OCL 70 64 0 09 Oct 2024
Diffusion Models and Representation Learning: A Survey Michael Fuest Pingchuan Ma Ming Gui Johannes S. Fischer Vincent Tao Hu Bjorn Ommer DiffM 36 19 0 30 Jun 2024
Explaining latent representations of generative models with large multimodal models Mengdan Zhu Zhenke Liu Bo Pan Abhinav Angirekula Liang Zhao 34 2 0 02 Feb 2024
Robust semi-supervised segmentation with timestep ensembling diffusion models Margherita Rosnati Mélanie Roschewitz Ben Glocker MedIm DiffM 50 4 0 13 Nov 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang G. Koulieris Hubert P. H. Shum DiffM 29 53 0 07 Jun 2023
$CrowdDiff$ : Multi-hypothesis Crowd Density Estimation using Diffusion Models Y. Ranasinghe Nithin Gopalakrishnan Nair W. G. C. Bandara Vishal M. Patel DiffM 26 10 0 22 Mar 2023
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 195 516 0 06 Dec 2021
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 177 9,332 0 28 May 2015