Do text-free diffusion models learn discriminative visual
representations?

Do text-free diffusion models learn discriminative visual representations?

29 November 2023

Soumik Mukhopadhyay

Yosuke Yamaguchi

Namitha Padmanabhan

Archana Swaminathan

Abhinav Shrivastava

Papers citing "Do text-free diffusion models learn discriminative visual representations?"

19 / 19 papers shown

Title
DDAE++: Enhancing Diffusion Models Towards Unified Generative and Discriminative Learning Weilai Xiang Hongyu Yang Di Huang Yunhong Wang 24 0 0 16 May 2025
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks Yinqi Li Hong Chang Ruibing Hou Shiguang Shan Xilin Chen DiffM 57 0 0 24 Apr 2025
Utilization of Neighbor Information for Image Classification with Different Levels of Supervision Gihan Jayatilaka Abhinav Shrivastava M. Gwilliam 64 0 0 18 Mar 2025
USP: Unified Self-Supervised Pretraining for Image Generation and Understanding Xiangxiang Chu Renda Li Yong Wang 65 0 0 08 Mar 2025
Mitigating Hallucinations in Diffusion Models through Adaptive Attention Modulation Trevine Oorloff Yaser Yacoob Abhinav Shrivastava 51 0 0 24 Feb 2025
Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation Mingjia Li Shuang Li Tongrui Su Longhui Yuan Jian Liang Wei Li DiffM 43 0 0 03 Jan 2025
Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques Benyuan Meng Qianqian Xu Zitai Wang Zhiyong Yang Xiaochun Cao Qingming Huang 23 0 0 09 Oct 2024
Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features Benyuan Meng Qianqian Xu Zitai Wang Xiaochun Cao Qingming Huang 40 2 0 04 Oct 2024
Can Large Language Models Unlock Novel Scientific Research Ideas? Sandeep Kumar Tirthankar Ghosal Vinayak Goyal Asif Ekbal ALM LRM AI4CE 39 10 0 10 Sep 2024
Image Segmentation in Foundation Model Era: A Survey Tianfei Zhou Fei Zhang Boyu Chang Wenguan Wang Ye Yuan E. Konukoglu Daniel Cremers VLM 42 4 0 23 Aug 2024
Diffusion Models and Representation Learning: A Survey Michael Fuest Pingchuan Ma Ming Gui Johannes S. Fischer Vincent Tao Hu Bjorn Ommer DiffM 36 20 0 30 Jun 2024
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning M. Gwilliam Abhinav Shrivastava SSL 79 19 1 16 Jun 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 182 495 0 01 Feb 2022
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 195 517 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 317 7,457 0 11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 365 5,811 0 29 Apr 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 279 3,375 0 09 Mar 2020
Semi-Supervised StyleGAN for Disentanglement Learning Weili Nie Tero Karras Animesh Garg Shoubhik Debhath Anjul Patney Ankit B. Patel Anima Anandkumar DRL 89 72 0 06 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 306 10,368 0 12 Dec 2018