Deconstructing Denoising Diffusion Models for Self-Supervised Learning

25 January 2024

Papers citing "Deconstructing Denoising Diffusion Models for Self-Supervised Learning"

32 / 32 papers shown

Title
Automated Learning of Semantic Embedding Representations for Diffusion Models Limai Jiang Yunpeng Cai DiffM 31 0 0 09 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
Flow Along the K-Amplitude for Generative Modeling Weitao Du Shuning Chang Jiasheng Tang Yu Rong F. Wang Shengchao Liu 51 0 0 27 Apr 2025
Latent Diffusion U-Net Representations Contain Positional Embeddings and Anomalies Jonas Loos Lorenz Linhardt 26 0 0 09 Apr 2025
Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis Imanol G. Estepa Jesús M. Rodríguez-de-Vera Ignacio Sarasúa Bhalaji Nagarajan P. Radeva 54 0 0 19 Mar 2025
USP: Unified Self-Supervised Pretraining for Image Generation and Understanding Xiangxiang Chu Renda Li Yong Wang 62 0 0 08 Mar 2025
Learning Actionable World Models for Industrial Process Control Peng Yan Ahmed Abdulkadir Gerrit A. Schatte Giulia Anguzzi Joonsu Gha Nikola Pascher Matthias Rosenthal Yunlong Gao Benjamin Grewe Thilo Stadelmann DRL AI4CE 49 0 0 03 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
From Pixels to Components: Eigenvector Masking for Visual Representation Learning Alice Bizeul Thomas M. Sutter Alain Ryser Bernhard Schölkopf Julius von Kügelgen Julia E. Vogt 88 1 0 10 Feb 2025
Diffusion Models for Computational Neuroimaging: A Survey Haokai Zhao Haowei Lou Lina Yao Wei Peng Ehsan Adeli K. Pohl Yu Zhang MedIm 50 2 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 49 0 0 09 Feb 2025
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
Frozen-DETR: Enhancing DETR with Image Understanding from Frozen Foundation Models Shenghao Fu Junkai Yan Q. Yang Xihan Wei Xiaohua Xie Wei-Shi Zheng VLM 25 3 0 25 Oct 2024
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities Shaozhe Hao Xuantong Liu Xianbiao Qi Shihao Zhao Bojia Zi Rong Xiao Kai Han Kwan-Yee K. Wong 45 3 0 18 Oct 2024
UniGEM: A Unified Approach to Generation and Property Prediction for Molecules Shikun Feng Yuyan Ni Yan Lu Zhi-Ming Ma Wei-Ying Ma Yanyan Lan 38 5 0 14 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 62 0 09 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
GenRec: Unifying Video Generation and Recognition with Diffusion Models Zejia Weng Xitong Yang Zhen Xing Zuxuan Wu Yu-Gang Jiang VGen DiffM 42 5 0 27 Aug 2024
Zero-Shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Model Cong Cao Huanjing Yue Xin Liu Jingyu Yang DiffM VGen 52 1 0 02 Jul 2024
Learning Robust 3D Representation from CLIP via Dual Denoising Shuqing Luo Bowen Qu Wei-Nan Gao 39 1 0 01 Jul 2024
Unified Auto-Encoding with Masked Diffusion Philippe Hansen-Estruch S. Vishwanath Amy Zhang Manan Tomar DiffM 60 1 0 25 Jun 2024
Extracting Training Data from Unconditional Diffusion Models Yunhao Chen Xingjun Ma Difan Zou Yu-Gang Jiang 40 5 0 18 Jun 2024
Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selection Wenxiao Wang Weiming Zhuang Lingjuan Lyu 39 0 0 11 Jun 2024
Diffusion Features to Bridge Domain Gap for Semantic Segmentation Yuxiang Ji Boyong He Chenyuan Qu Zhuoyue Tan Chuan Qin Liaoni Wu 37 2 0 02 Jun 2024
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity Haoxuan Chen Yinuo Ren Lexing Ying Grant M. Rotskoff 43 15 0 24 May 2024
Diffusion Actor-Critic with Entropy Regulator Yinuo Wang Likun Wang Yuxuan Jiang Wenjun Zou Tong Liu ... Wenxuan Wang Liming Xiao Jiang Wu Jingliang Duan Shengbo Eben Li DiffM 40 9 0 24 May 2024
Masked Completion via Structured Diffusion with White-Box Transformers Druv Pai Ziyang Wu Sam Buchanan Yaodong Yu Yi-An Ma 27 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 29 0 0 27 Mar 2024
Zippo: Zipping Color and Transparency Distributions into a Single Diffusion Model Kangyang Xie Binbin Yang Hao Chen Meng Wang Cheng Zou Hui Xue Ming Yang Chunhua Shen DiffM 30 1 0 17 Mar 2024
VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks Xiangxiang Chu Jianlin Su Bo-Wen Zhang Chunhua Shen MLLM 30 10 0 01 Mar 2024
Learning and Leveraging World Models in Visual Representation Learning Q. Garrido Mahmoud Assran Nicolas Ballas Adrien Bardes Laurent Najman Yann LeCun SSL 46 24 0 01 Mar 2024
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021