Diffusion Model as Representation Learner

21 August 2023

Papers citing "Diffusion Model as Representation Learner"

18 / 18 papers shown

Title
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 35 0 0 05 May 2025
Boosting Generative Image Modeling via Joint Image-Feature Synthesis Theodoros Kouzelis Efstathios Karypidis Ioannis Kakogeorgiou Spyros Gidaris N. Komodakis DiffM 26 0 0 22 Apr 2025
USP: Unified Self-Supervised Pretraining for Image Generation and Understanding Xiangxiang Chu Renda Li Yong Wang 58 0 0 08 Mar 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 65 59 0 09 Oct 2024
Contrastive Learning with Synthetic Positives Dewen Zeng Yawen Wu Xinrong Hu Xiaowei Xu Yiyu Shi SyDa SSL 38 1 0 30 Aug 2024
Distilled Datamodel with Reverse Gradient Matching Jingwen Ye Ruonan Yu Songhua Liu Xinchao Wang DD 28 3 0 22 Apr 2024
PartSTAD: 2D-to-3D Part Segmentation Task Adaptation Hyunjin Kim Minhyuk Sung 35 8 0 11 Jan 2024
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models Jiarui Xu Sifei Liu Arash Vahdat Wonmin Byeon Xiaolong Wang Shalini De Mello VLM 198 318 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 153 213 0 03 Mar 2023
DepGraph: Towards Any Structural Pruning Gongfan Fang Xinyin Ma Mingli Song Michael Bi Mi Xinchao Wang GNN 79 245 0 30 Jan 2023
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 124 137 0 30 Oct 2022
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning Yujun Shi Jian Liang Wenqing Zhang Vincent Y. F. Tan Song Bai FedML 62 55 0 01 Oct 2022
V2XP-ASG: Generating Adversarial Scenes for Vehicle-to-Everything Perception Hao Xiang Runsheng Xu Xin Xia Zhaoliang Zheng Bolei Zhou Jiaqi Ma 42 40 0 27 Sep 2022
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 187 508 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 258 7,337 0 11 Nov 2021
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Mingli Song Dacheng Tao Xinchao Wang 141 222 0 23 Mar 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 229 3,029 0 09 Mar 2020
Deep High-Resolution Representation Learning for Visual Recognition Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng ... Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Bin Xiao 184 3,480 0 20 Aug 2019