DreamTeacher: Pretraining Image Backbones with Deep Generative Models

IEEE International Conference on Computer Vision (ICCV), 2023

14 July 2023

Antonio Torralba

Sanja Fidler

VLM

DiffM

ArXiv (abs)PDF HTML HuggingFace (20 upvotes)

Papers citing "DreamTeacher: Pretraining Image Backbones with Deep Generative Models"

28 / 28 papers shown

Title
ModalFormer: Multimodal Transformer for Low-Light Image Enhancement Alexandru Brateanu Raul Balmez Ciprian Orhei C. Ancuti Cosmin Ancuti ViT OffRL 117 0 0 27 Jul 2025
Improving Joint Embedding Predictive Architecture with Diffusion Noise Yuping Qiu Rui Zhu Ying-cong Chen DiffM 135 0 0 21 Jul 2025
Learning Diffusion Models with Flexible Representation Guidance Chenyu Wang Cai Zhou Sharut Gupta Zongyu Lin Stefanie Jegelka Stephen Bates Tommi Jaakkola 78 3 0 11 Jul 2025
Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think Ge Wu Shen Zhang Ruijing Shi Shanghua Gao Zhenyuan Chen ... Hongcheng Gao Yao Tang Jian Yang Ming-Ming Cheng X. Li 232 17 0 02 Jul 2025
Canonical Latent Representations in Conditional Diffusion Models Yitao Xu Tong Zhang Ehsan Pajouheshgar Sabine Süsstrunk DiffM 226 0 0 11 Jun 2025
DDAE++: Enhancing Diffusion Models Towards Unified Generative and Discriminative Learning Weilai Xiang Hongyu Yang Di Huang Yunhong Wang 351 1 0 16 May 2025
No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves Dengyang Jiang Mengmeng Wang Liuzhuozheng Li Lei Zhang Haoyu Wang Wei Wei Guang Dai Yanning Zhang Jingdong Wang DiffM 382 11 0 05 May 2025
DIVE: Inverting Conditional Diffusion Models for Discriminative TasksIEEE transactions on multimedia (TMM), 2025 Yinqi Li Hong Chang Ruibing Hou Shiguang Shan Xilin Chen DiffM 255 1 0 24 Apr 2025
Boosting Generative Image Modeling via Joint Image-Feature Synthesis Theodoros Kouzelis Efstathios Karypidis Ioannis Kakogeorgiou Spyros Gidaris N. Komodakis DiffM 221 8 0 22 Apr 2025
Efficient Generative Model Training via Embedded Representation Warmup Deyuan Liu Peng Sun Xufeng Li Tao Lin 328 0 0 14 Apr 2025
SARA: Structural and Adversarial Representation Alignment for Training-efficient Diffusion Models Hesen Chen Junyan Wang Zhiyu Tan Hao Li 225 4 0 11 Mar 2025
USP: Unified Self-Supervised Pretraining for Image Generation and Understanding Xiangxiang Chu Renda Li Yong Wang 466 14 0 08 Mar 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 444 4 0 09 Feb 2025
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You ThinkInternational Conference on Learning Representations (ICLR), 2024 Sihyun Yu Sangkyung Kwak Huiwon Jang Jongheon Jeong Jonathan Huang Jinwoo Shin Saining Xie OCL 558 267 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 290 36 0 30 Jun 2024
Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language Yicheng Chen Xiangtai Li Yining Li Yanhong Zeng Jianzong Wu Xiangyu Zhao Kai Chen VLM DiffM 363 3 0 28 Jun 2024
SimGen: Simulator-conditioned Driving Scene Generation Yunsong Zhou Michael Simon Zhenghao Peng Sicheng Mo Hongzi Zhu Minyi Guo Bolei Zhou VGen 224 22 0 13 Jun 2024
Generalized Predictive Model for Autonomous DrivingComputer Vision and Pattern Recognition (CVPR), 2024 Jiazhi Yang Shenyuan Gao Yihang Qiu Li Chen Tianyu Li ... Ping Luo Jun Zhang Andreas Geiger Yu Qiao Hongyang Li VGen 185 110 0 14 Mar 2024
Masked Modeling for Self-supervised Representation Learning on Vision and Beyond Siyuan Li Luyuan Zhang Zedong Wang Di Wu Lirong Wu ... Jun Xia Cheng Tan Yang Liu Baigui Sun Stan Z. Li SSL 227 26 0 31 Dec 2023
Amodal Completion via Progressive Mixed Context Diffusion Katherine Xu Lingzhi Zhang Jianbo Shi DiffM 202 34 0 24 Dec 2023
Gen2Det: Generate to Detect Saksham Suri Fanyi Xiao Animesh Sinha Sean Culatana Raghuraman Krishnamoorthi Chenchen Zhu Abhinav Shrivastava VLM DiffM 237 12 0 07 Dec 2023
Do text-free diffusion models learn discriminative visual representations?European Conference on Computer Vision (ECCV), 2023 Soumik Mukhopadhyay M. Gwilliam Yosuke Yamaguchi Vatsal Agarwal Namitha Padmanabhan Archana Swaminathan Wanrong Zhu Abhinav Shrivastava DiffM 325 22 1 29 Nov 2023
3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features Chenfeng Xu Huan Ling Sanja Fidler Or Litany 270 27 0 07 Nov 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era Zuhao Yang Fangneng Zhan Kunhao Liu Muyu Xu Shijian Lu EGVM 359 26 0 03 Oct 2023
Intriguing properties of generative classifiersInternational Conference on Learning Representations (ICLR), 2023 P. Jaini Kevin Clark Robert Geirhos BDL 388 48 0 28 Sep 2023
Diffusion Model as Representation LearnerIEEE International Conference on Computer Vision (ICCV), 2023 Xingyi Yang Xinchao Wang DiffM 191 80 0 21 Aug 2023
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 1.1K 4,608 0 17 Jun 2020
Xception: Deep Learning with Depthwise Separable ConvolutionsComputer Vision and Pattern Recognition (CVPR), 2016 François Chollet MDE BDL PINN 2.5K 16,441 0 07 Oct 2016