Denoising Diffusion Autoencoders are Unified Self-supervised Learners

17 March 2023

Yunhong Wang

Papers citing "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"

50 / 54 papers shown

Title
DDAE++: Enhancing Diffusion Models Towards Unified Generative and Discriminative Learning Weilai Xiang Hongyu Yang Di Huang Yunhong Wang 12 0 0 16 May 2025
Image Classification Using a Diffusion Model as a Pre-Training Model Kosuke Ukita Ye Xiaolong Tsuyoshi Okita DiffM MedIm VLM 37 0 0 11 May 2025
No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves D. Jiang Mengmeng Wang Liuzhuozheng Li Lei Zhang Haoyu Wang Wei Wei Guang Dai Yanning Zhang Jingdong Wang DiffM 51 0 0 05 May 2025
Enhancing Variational Autoencoders with Smooth Robust Latent Encoding Hyomin Lee Minseon Kim Sangwon Jang Jongheon Jeong Sung Ju Hwang DiffM AAML 39 0 0 24 Apr 2025
Boosting Generative Image Modeling via Joint Image-Feature Synthesis Theodoros Kouzelis Efstathios Karypidis Ioannis Kakogeorgiou Spyros Gidaris N. Komodakis DiffM 38 0 0 22 Apr 2025
Efficient Generative Model Training via Embedded Representation Warmup Deyuan Liu Peng Sun Xufeng Li Tao Lin 33 0 0 14 Apr 2025
Latent Diffusion U-Net Representations Contain Positional Embeddings and Anomalies Jonas Loos Lorenz Linhardt 26 0 0 09 Apr 2025
Learning 3D Object Spatial Relationships from Pre-trained 2D Diffusion Models Sangwon Beak Hyeonwoo Kim Hanbyul Joo 46 0 0 25 Mar 2025
Should we pre-train a decoder in contrastive learning for dense prediction tasks? S. Quetin Tapotosh Ghosh Farhad Maleki SSL 74 0 0 21 Mar 2025
Temporal Score Analysis for Understanding and Correcting Diffusion Artifacts Yu Cao Zengqun Zhao Ioannis Patras Shaogang Gong DiffM 48 0 0 20 Mar 2025
USP: Unified Self-Supervised Pretraining for Image Generation and Understanding Xiangxiang Chu Renda Li Yong Wang 62 0 0 08 Mar 2025
UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation Alexander H. Liu Sang-gil Lee Chao-Han Huck Yang Yuan Gong Yu-Chun Wang James Glass Rafael Valle Bryan Catanzaro SSL 52 0 0 02 Mar 2025
MotionMatcher: Motion Customization of Text-to-Video Diffusion Models via Motion Feature Matching Yen-Siang Wu Chi-Pin Huang Fu-En Yang Yu-Jie Wang DiffM VGen 54 1 0 18 Feb 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
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
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Anand Kumar Jiteng Mu Nuno Vasconcelos DiffM 88 0 0 19 Dec 2024
Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rongkun Xue Jinouwen Zhang Yazhe Niu Dazhong Shen Bingqi Ma Yu Liu Jing Yang 77 0 0 29 Nov 2024
Optical Flow Representation Alignment Mamba Diffusion Model for Medical Video Generation Zhenbin Wang Lei Zhang Lituan Wang Minjuan Zhu Zhenwei Zhang VGen MedIm 57 1 0 03 Nov 2024
Denoising Diffusion Models for Anomaly Localization in Medical Images Cosmin I. Bercea P. Cattin Julia A. Schnabel J. Wolleb DiffM MedIm 36 0 0 31 Oct 2024
Assessing Open-world Forgetting in Generative Image Model Customization Héctor Laria Alex Gomez-Villa Imad Eddine Marouf Bogdan Raducanu Bogdan Raducanu VLM DiffM 37 0 0 18 Oct 2024
Feature-guided score diffusion for sampling conditional densities Zahra Kadkhodaie S. Mallat Eero P. Simoncelli DiffM 31 1 0 15 Oct 2024
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
Latent Abstractions in Generative Diffusion Models Giulio Franzese Mattia Martini Giulio Corallo Paolo Papotti Pietro Michiardi DiffM 35 0 0 04 Oct 2024
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation Muzhi Zhu Yang Liu Zekai Luo Chenchen Jing Hao Chen Guangkai Xu Xinlong Wang Chunhua Shen DiffM VLM 36 3 0 03 Oct 2024
Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models Yize Li Yihua Zhang Sijia Liu Xue Lin 47 3 0 27 Sep 2024
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control Zichen Jeff Cui Hengkai Pan Aadhithya Iyer Siddhant Haldar Lerrel Pinto VGen 33 10 0 18 Sep 2024
Contrastive Learning with Synthetic Positives Dewen Zeng Yawen Wu Xinrong Hu Xiaowei Xu Yiyu Shi SyDa SSL 54 1 0 30 Aug 2024
Diffusion Feedback Helps CLIP See Better Wenxuan Wang Quan-Sen Sun Fan Zhang Yepeng Tang Jing Liu Xinlong Wang VLM 43 14 0 29 Jul 2024
Few-Shot Image Generation by Conditional Relaxing Diffusion Inversion Yu Cao Shaogang Gong DiffM 43 2 0 09 Jul 2024
Learning Robust 3D Representation from CLIP via Dual Denoising Shuqing Luo Bowen Qu Wei-Nan Gao 44 1 0 01 Jul 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
Aligning Diffusion Models with Noise-Conditioned Perception Alexander Gambashidze Anton Kulikov Yuriy Sosnin Ilya Makarov 42 5 0 25 Jun 2024
DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception Run Luo Yunshui Li Longze Chen Wanwei He Ting-En Lin ... Zikai Song Xiaobo Xia Tongliang Liu Min Yang Binyuan Hui VLM DiffM 75 15 0 24 May 2024
FaceCat: Enhancing Face Recognition Security with a Unified Generative Model Framework Jiawei Chen Xiao Yang Yinpeng Dong Hang Su Jianteng Peng Zhaoxia Yin CVBM 45 0 0 14 Apr 2024
Masked Completion via Structured Diffusion with White-Box Transformers Druv Pai Ziyang Wu Sam Buchanan Yaodong Yu Yi-An Ma 35 13 0 03 Apr 2024
DODA: Adapting Object Detectors to Dynamic Agricultural Environments in Real-Time with Diffusion Shuai Xiang Pieter M. Blok James Burridge Haozhou Wang Wei Guo 31 0 0 27 Mar 2024
An Analysis of Human Alignment of Latent Diffusion Models Lorenz Linhardt Marco Morik Sidney Bender Naima Elosegui Borras DiffM 33 3 0 13 Mar 2024
Mitigate Target-level Insensitivity of Infrared Small Target Detection via Posterior Distribution Modeling Haoqing Li Jinfu Yang Yifei Xu Runshi Wang 26 0 0 13 Mar 2024
Discriminative Probing and Tuning for Text-to-Image Generation Leigang Qu Wenjie Wang Yongqi Li Hanwang Zhang Liqiang Nie Tat-Seng Chua 36 7 0 07 Mar 2024
Deconstructing Denoising Diffusion Models for Self-Supervised Learning Xinlei Chen Zhuang Liu Saining Xie Kaiming He DiffM 35 54 0 25 Jan 2024
SwiMDiff: Scene-wide Matching Contrastive Learning with Diffusion Constraint for Remote Sensing Image Jiayuan Tian Jie Lei Jiaqing Zhang Weiying Xie Yunsong Li 33 12 0 10 Jan 2024
Learned representation-guided diffusion models for large-image generation Alexandros Graikos Srikar Yellapragada Minh-Quan Le S. Kapse Prateek Prasanna Joel H. Saltz Dimitris Samaras DiffM 34 27 0 12 Dec 2023
Gen2Det: Generate to Detect Saksham Suri Fanyi Xiao Animesh Sinha Sean Culatana Raghuraman Krishnamoorthi Chenchen Zhu Abhinav Shrivastava VLM DiffM 29 9 0 07 Dec 2023
Do text-free diffusion models learn discriminative visual representations? Soumik Mukhopadhyay M. Gwilliam Yosuke Yamaguchi Vatsal Agarwal Namitha Padmanabhan Archana Swaminathan Tianyi Zhou Abhinav Shrivastava DiffM 29 12 1 29 Nov 2023
SODA: Bottleneck Diffusion Models for Representation Learning Drew A. Hudson Daniel Zoran Mateusz Malinowski Andrew Kyle Lampinen Andrew Jaegle James L. McClelland Loic Matthey Felix Hill Alexander Lerchner DiffM 25 48 0 29 Nov 2023
Adversarial Examples Are Not Real Features Ang Li Yifei Wang Yiwen Guo Yisen Wang 20 11 0 29 Oct 2023
Structural Adversarial Objectives for Self-Supervised Representation Learning Xiao Zhang Michael Maire 16 0 0 30 Sep 2023
Masked Diffusion as Self-supervised Representation Learner Zixuan Pan Jianxu Chen Yi Shi MedIm DiffM 26 10 0 10 Aug 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 313 11,953 0 04 Mar 2022
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