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Your Diffusion Model is Secretly a Zero-Shot Classifier

Your Diffusion Model is Secretly a Zero-Shot Classifier

28 March 2023
Alexander C. Li
Mihir Prabhudesai
Shivam Duggal
Ellis L Brown
Deepak Pathak
    DiffM
    VLM
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Papers citing "Your Diffusion Model is Secretly a Zero-Shot Classifier"

50 / 169 papers shown
Title
Image Classification Using a Diffusion Model as a Pre-Training Model
Image Classification Using a Diffusion Model as a Pre-Training Model
Kosuke Ukita
Ye Xiaolong
Tsuyoshi Okita
DiffM
MedIm
VLM
21
0
0
11 May 2025
StableMotion: Repurposing Diffusion-Based Image Priors for Motion Estimation
StableMotion: Repurposing Diffusion-Based Image Priors for Motion Estimation
Z. Wang
Haipeng Li
Lin Sui
Tianhao Zhou
Hai Jiang
Lang Nie
Shuaicheng Liu
DiffM
VGen
42
0
0
10 May 2025
Automated Learning of Semantic Embedding Representations for Diffusion Models
Automated Learning of Semantic Embedding Representations for Diffusion Models
Limai Jiang
Yunpeng Cai
DiffM
23
0
0
09 May 2025
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks
DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks
Yinqi Li
Hong Chang
Ruibing Hou
Shiguang Shan
Xilin Chen
DiffM
50
0
0
24 Apr 2025
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms
Chengkai Huang
Hongtao Huang
Tong Yu
Kaige Xie
Junda Wu
Shuai Zhang
Julian McAuley
Dietmar Jannach
Lina Yao
LRM
AI4CE
22
0
0
23 Apr 2025
Beyond One-Hot Labels: Semantic Mixing for Model Calibration
Beyond One-Hot Labels: Semantic Mixing for Model Calibration
Haoyang Luo
Linwei Tao
Minjing Dong
Chang Xu
20
0
0
18 Apr 2025
Efficient Generative Model Training via Embedded Representation Warmup
Efficient Generative Model Training via Embedded Representation Warmup
Deyuan Liu
Peng Sun
Xufeng Li
Tao Lin
19
0
0
14 Apr 2025
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion
Rana Muhammad Shahroz Khan
Dongwen Tang
Pingzhi Li
Kai Wang
Tianlong Chen
AI4CE
53
0
0
31 Mar 2025
HumanDreamer: Generating Controllable Human-Motion Videos via Decoupled Generation
HumanDreamer: Generating Controllable Human-Motion Videos via Decoupled Generation
Boyuan Wang
Xiaofeng Wang
Chaojun Ni
Guosheng Zhao
Zhiqin Yang
...
Yukun Zhou
Xinze Chen
Guan Huang
Lihong Liu
Xingang Wang
VGen
54
2
0
31 Mar 2025
Unified Multimodal Discrete Diffusion
Unified Multimodal Discrete Diffusion
Alexander Swerdlow
Mihir Prabhudesai
Siddharth Gandhi
Deepak Pathak
Katerina Fragkiadaki
DiffM
68
0
0
26 Mar 2025
ICE: Intrinsic Concept Extraction from a Single Image via Diffusion Models
ICE: Intrinsic Concept Extraction from a Single Image via Diffusion Models
Fernando Julio Cendra
Kai Han
VLM
51
0
0
25 Mar 2025
An Image-like Diffusion Method for Human-Object Interaction Detection
An Image-like Diffusion Method for Human-Object Interaction Detection
Xiaofei Hui
Haoxuan Qu
Hossein Rahmani
Jun Liu
DiffM
48
0
0
23 Mar 2025
SketchFusion: Learning Universal Sketch Features through Fusing Foundation Models
SketchFusion: Learning Universal Sketch Features through Fusing Foundation Models
Subhadeep Koley
Tapas Kumar Dutta
Aneeshan Sain
Pinaki Nath Chowdhury
A. Bhunia
Yi-Zhe Song
VLM
66
0
0
18 Mar 2025
TIDE : Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation
Victor Shea-Jay Huang
Le Zhuo
Yi Xin
Zhaokai Wang
Peng Gao
Hongsheng Li
DiffM
43
1
0
10 Mar 2025
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
Xavier Thomas
Deepti Ghadiyaram
DiffM
84
0
0
09 Mar 2025
USP: Unified Self-Supervised Pretraining for Image Generation and Understanding
Xiangxiang Chu
Renda Li
Yong Wang
60
0
0
08 Mar 2025
Synthetic Data is an Elegant GIFT for Continual Vision-Language Models
Bin Wu
Wuxuan Shi
Jinqiao Wang
Mang Ye
CLL
VLM
40
0
0
06 Mar 2025
CoInD: Enabling Logical Compositions in Diffusion Models
Sachit Gaudi
Gautam Sreekumar
Vishnu Naresh Boddeti
CoGe
68
0
0
03 Mar 2025
HDM: Hybrid Diffusion Model for Unified Image Anomaly Detection
HDM: Hybrid Diffusion Model for Unified Image Anomaly Detection
Zekang Weng
Jinjin Shi
Jinwei Wang
Zeming Han
38
0
0
26 Feb 2025
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification
Mingkun Zhang
Keping Bi
Wei Chen
J. Guo
Xueqi Cheng
BDL
VLM
47
1
0
25 Feb 2025
On the Vulnerability of Concept Erasure in Diffusion Models
On the Vulnerability of Concept Erasure in Diffusion Models
Lucas Beerens
Alex D. Richardson
K. Zhang
Dongdong Chen
DiffM
60
2
0
24 Feb 2025
Artificial Kuramoto Oscillatory Neurons
Artificial Kuramoto Oscillatory Neurons
Takeru Miyato
Sindy Lowe
Andreas Geiger
Max Welling
AI4CE
67
6
0
17 Feb 2025
Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-Identification
Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-Identification
Jiachen Li
Xiaojin Gong
DiffM
79
0
0
10 Feb 2025
Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free
Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free
Gian Mario Favero
Parham Saremi
Emily Kaczmarek
Brennan Nichyporuk
Tal Arbel
DiffM
MedIm
62
0
0
06 Feb 2025
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
Scott Geng
Cheng-Yu Hsieh
Vivek Ramanujan
Matthew Wallingford
Chun-Liang Li
Pang Wei Koh
Ranjay Krishna
DiffM
57
6
0
03 Jan 2025
Dynamic Negative Guidance of Diffusion Models
Dynamic Negative Guidance of Diffusion Models
Felix Koulischer
Johannes Deleu
G. Raya
T. Demeester
L. Ambrogioni
DiffM
49
2
0
03 Jan 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
28
0
0
03 Jan 2025
Neural Network Diffusion
Neural Network Diffusion
Kaili Wang
Dongwen Tang
Boya Zeng
Yida Yin
Zhaopan Xu
Yukun Zhou
Zelin Zang
Trevor Darrell
Zhuang Liu
Yang You
DiffM
40
5
0
03 Jan 2025
[MASK] is All You Need
[MASK] is All You Need
Vincent Tao Hu
Bjorn Ommer
DiffM
135
2
0
09 Dec 2024
Diffusion in Zero-Shot Learning for Environmental Audio
Diffusion in Zero-Shot Learning for Environmental Audio
Ysobel Sims
Stephan Chalup
Alexandre Mendes
VLM
DiffM
63
0
0
04 Dec 2024
Distillation of Diffusion Features for Semantic Correspondence
Distillation of Diffusion Features for Semantic Correspondence
Frank Fundel
Johannes Schusterbauer
Vincent Tao Hu
Bjorn Ommer
DiffM
87
3
0
04 Dec 2024
Pretrained Reversible Generation as Unsupervised Visual Representation Learning
Pretrained Reversible Generation as Unsupervised Visual Representation Learning
Rongkun Xue
Jinouwen Zhang
Yazhe Niu
Dazhong Shen
Bingqi Ma
Yu Liu
Jing Yang
65
0
0
29 Nov 2024
From Graph Diffusion to Graph Classification
From Graph Diffusion to Graph Classification
Jia Jun Cheng Xian
Sadegh Mahdavi
Renjie Liao
Oliver Schulte
GNN
DiffM
72
0
0
26 Nov 2024
$\textit{Revelio}$: Interpreting and leveraging semantic information in
  diffusion models
Revelio\textit{Revelio}Revelio: Interpreting and leveraging semantic information in diffusion models
Dahye Kim
Xavier Thomas
Deepti Ghadiyaram
67
0
0
23 Nov 2024
D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical Classification
Minhee Jang
Juheon Son
Thanaporn Viriyasaranon
Junho Kim
Jang-Hwan Choi
MedIm
23
0
0
17 Nov 2024
TDSM: Triplet Diffusion for Skeleton-Text Matching in Zero-Shot Action Recognition
Jeonghyeok Do
Munchurl Kim
42
1
0
16 Nov 2024
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion
  Models
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models
Shuhong Zheng
Zhipeng Bao
Ruoyu Zhao
Martial Hebert
Yu-xiong Wang
DiffM
35
0
0
07 Nov 2024
Optical Flow Representation Alignment Mamba Diffusion Model for Medical
  Video Generation
Optical Flow Representation Alignment Mamba Diffusion Model for Medical Video Generation
Zhenbin Wang
Lei Zhang
Lituan Wang
Minjuan Zhu
Zhenwei Zhang
VGen
MedIm
54
1
0
03 Nov 2024
Multi-Class Textual-Inversion Secretly Yields a Semantic-Agnostic
  Classifier
Multi-Class Textual-Inversion Secretly Yields a Semantic-Agnostic Classifier
Kai Wang
Fei Yang
Bogdan Raducanu
Joost van de Weijer
26
1
0
29 Oct 2024
Conjuring Semantic Similarity
Conjuring Semantic Similarity
Tian Yu Liu
Stefano Soatto
DiffM
25
0
0
21 Oct 2024
Assessing Open-world Forgetting in Generative Image Model Customization
Assessing Open-world Forgetting in Generative Image Model Customization
Héctor Laria
Alex Gomez-Villa
Imad Eddine Marouf
Bogdan Raducanu
Bogdan Raducanu
VLM
DiffM
30
0
0
18 Oct 2024
Diff-DAgger: Uncertainty Estimation with Diffusion Policy for Robotic Manipulation
Diff-DAgger: Uncertainty Estimation with Diffusion Policy for Robotic Manipulation
Sung-Wook Lee
Yen-Ling Kuo
Yen-Ling Kuo
14
4
0
18 Oct 2024
Towards Reliable Verification of Unauthorized Data Usage in Personalized
  Text-to-Image Diffusion Models
Towards Reliable Verification of Unauthorized Data Usage in Personalized Text-to-Image Diffusion Models
Boheng Li
Yanhao Wei
Yankai Fu
Z. Wang
Yiming Li
Jie Zhang
Run Wang
Tianwei Zhang
DiffM
AAML
21
9
0
14 Oct 2024
DINTR: Tracking via Diffusion-based Interpolation
DINTR: Tracking via Diffusion-based Interpolation
Pha Nguyen
Ngan Le
J. Cothren
Alper Yilmaz
Khoa Luu
DiffM
38
0
0
14 Oct 2024
Simple ReFlow: Improved Techniques for Fast Flow Models
Simple ReFlow: Improved Techniques for Fast Flow Models
Beomsu Kim
Yu-Guan Hsieh
Michal Klein
Marco Cuturi
Jong Chul Ye
Bahjat Kawar
James Thornton
VLM
23
7
0
10 Oct 2024
Diffusion Density Estimators
Diffusion Density Estimators
Akhil Premkumar
22
0
0
09 Oct 2024
Suppress Content Shift: Better Diffusion Features via Off-the-Shelf
  Generation Techniques
Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques
Benyuan Meng
Qianqian Xu
Zitai Wang
Zhiyong Yang
Xiaochun Cao
Qingming Huang
14
0
0
09 Oct 2024
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
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
Diffusion Imitation from Observation
Diffusion Imitation from Observation
Bo-Ruei Huang
Chun-Kai Yang
Chun-Mao Lai
Dai-Jie Wu
Shao-Hua Sun
29
4
0
07 Oct 2024
The Visualization JUDGE : Can Multimodal Foundation Models Guide
  Visualization Design Through Visual Perception?
The Visualization JUDGE : Can Multimodal Foundation Models Guide Visualization Design Through Visual Perception?
Matthew Berger
Shusen Liu
28
0
0
05 Oct 2024
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