Diffusion Models and Representation Learning: A Survey

30 June 2024

Papers citing "Diffusion Models and Representation Learning: A Survey"

28 / 28 papers shown

Title
Boosting Generative Image Modeling via Joint Image-Feature Synthesis Theodoros Kouzelis Efstathios Karypidis Ioannis Kakogeorgiou Spyros Gidaris N. Komodakis DiffM 42 0 0 22 Apr 2025
Shape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning Edwin Tay Nazli Tümer Amir A. Zadpoor MedIm 55 0 0 27 Mar 2025
Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-Identification Jiachen Li Xiaojin Gong DiffM 86 0 0 10 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 78 67 0 09 Oct 2024
Diffusion Models in 3D Vision: A Survey Zhen Wang Dongyuan Li Xue Liu Tianyu He Jiang Bian Renhe Jiang MedIm 72 4 0 07 Oct 2024
StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining Tushar Kataria Beatrice Knudsen Shireen Y. Elhabian DiffM MedIm 37 9 0 17 Mar 2024
Rethinking cluster-conditioned diffusion models Nikolas Adaloglou Tim Kaiser Félix D. P. Michels M. Kollmann VLM 39 3 0 01 Mar 2024
Scalable Diffusion Models with State Space Backbone Zhengcong Fei Mingyuan Fan Changqian Yu Junshi Huang 72 34 0 08 Feb 2024
Exploring Diffusion Time-steps for Unsupervised Representation Learning Zhongqi Yue Jiankun Wang Qianru Sun Lei Ji E. Chang Hanwang Zhang DiffM 55 21 0 21 Jan 2024
SimSC: A Simple Framework for Semantic Correspondence with Temperature Learning Matthias Lalisse Kai Han Xingchen Wan P. Smolensky 51 3 0 03 May 2023
Generating images of rare concepts using pre-trained diffusion models Dvir Samuel Rami Ben-Ari Simon Raviv N. Darshan Gal Chechik 135 38 0 27 Apr 2023
End-to-End Diffusion Latent Optimization Improves Classifier Guidance Bram Wallace Akash Gokul Stefano Ermon Nikhil Naik 124 70 0 23 Mar 2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale Fan Bao Shen Nie Kaiwen Xue Chongxuan Li Shiliang Pu Yaole Wang Gang Yue Yue Cao Hang Su Jun Zhu DiffM 207 150 0 12 Mar 2023
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models Jiarui Xu Sifei Liu Arash Vahdat Wonmin Byeon Xiaolong Wang Shalini De Mello VLM 223 320 0 08 Mar 2023
Unleashing Text-to-Image Diffusion Models for Visual Perception Wenliang Zhao Yongming Rao Zuyan Liu Benlin Liu Jie Zhou Jiwen Lu ObjD VLM MDE 163 218 0 03 Mar 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels Zebin You Yong Zhong Fan Bao Jiacheng Sun Chongxuan Li Jun Zhu DiffM VLM 209 36 0 21 Feb 2023
Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models Rongjie Huang Jia-Bin Huang Dongchao Yang Yi Ren Luping Liu Mingze Li Zhenhui Ye Jinglin Liu Xiaoyue Yin Zhou Zhao DiffM 151 318 0 30 Jan 2023
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 206 1,156 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 226 1,314 0 02 Sep 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 173 781 0 27 May 2022
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 195 519 0 06 Dec 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 322 7,481 0 11 Nov 2021
Instance-Conditioned GAN Arantxa Casanova Marlene Careil Jakob Verbeek M. Drozdzal Adriana Romero Soriano GAN 209 134 0 10 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 383 5,818 0 29 Apr 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 222 396 0 10 Feb 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 309 10,378 0 12 Dec 2018
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation Jiwoon Ahn Suha Kwak 234 741 0 28 Mar 2018
Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou Hang Zhao Xavier Puig Tete Xiao Sanja Fidler Adela Barriuso Antonio Torralba SSeg 253 1,833 0 18 Aug 2016