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Label-Efficient Semantic Segmentation with Diffusion Models

Label-Efficient Semantic Segmentation with Diffusion Models

6 December 2021
Dmitry Baranchuk
Ivan Rubachev
A. Voynov
Valentin Khrulkov
Artem Babenko
    DiffM
    VLM
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Papers citing "Label-Efficient Semantic Segmentation with Diffusion Models"

50 / 67 papers shown
Title
The Role of Video Generation in Enhancing Data-Limited Action Understanding
The Role of Video Generation in Enhancing Data-Limited Action Understanding
Wei Li
Dezhao Luo
Dongbao Yang
Zhenhang Li
Weiping Wang
Yu Zhou
DiffM
VGen
247
0
0
26 May 2025
SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation
Dekai Zhu
Yan Di
Stefan Gavranovic
Slobodan Ilic
DiffM
868
0
0
23 May 2025
D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition
D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition
Rupayan Mallick
Sibo Dong
Nataniel Ruiz
Sarah Adel Bargal
DiffM
188
0
0
08 Apr 2025
Hyperbolic Diffusion Recommender Model
Hyperbolic Diffusion Recommender Model
Meng Yuan
Yutian Xiao
Wei Chen
Chu Zhao
Deqing Wang
Fuzhen Zhuang
91
2
0
02 Apr 2025
Segment Any-Quality Images with Generative Latent Space Enhancement
Segment Any-Quality Images with Generative Latent Space Enhancement
Guangqian Guo
Yoong Guo
Xuehui Yu
Wenbo Li
Yaoxing Wang
Shan Gao
VLM
152
0
0
16 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Yancheng Wang
Changyu Liu
Yingzhen Yang
DiffM
GNN
176
0
0
16 Mar 2025
Language-Depth Navigated Thermal and Visible Image Fusion
Language-Depth Navigated Thermal and Visible Image Fusion
Jinchang Zhang
Zijun Li
Guoyu Lu
MDE
105
1
0
11 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
141
0
0
09 Mar 2025
USP: Unified Self-Supervised Pretraining for Image Generation and Understanding
Xiangxiang Chu
Renda Li
Yong Wang
192
0
0
08 Mar 2025
LaRE$^2$: Latent Reconstruction Error Based Method for Diffusion-Generated Image Detection
LaRE2^22: Latent Reconstruction Error Based Method for Diffusion-Generated Image Detection
Yunpeng Luo
Junlong Du
Ke Yan
Shouhong Ding
DiffM
177
23
0
24 Feb 2025
Conditional diffusion model with spatial attention and latent embedding for medical image segmentation
Conditional diffusion model with spatial attention and latent embedding for medical image segmentation
Behzad Hejrati
Soumyanil Banerjee
C. Glide-Hurst
Ming Dong
DiffM
MedIm
171
0
0
21 Feb 2025
SMITE: Segment Me In TimE
SMITE: Segment Me In TimE
Amirhossein Alimohammadi
Sauradip Nag
Saeid Asgari Taghanaki
Andrea Tagliasacchi
Ghassan Hamarneh
Ali Mahdavi-Amiri
VLM
VOS
463
3
0
20 Feb 2025
CoDiff: Conditional Diffusion Model for Collaborative 3D Object Detection
CoDiff: Conditional Diffusion Model for Collaborative 3D Object Detection
zhe Huang
Shuo Wang
Yanjie Wang
Lei Wang
DiffM
338
0
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
148
0
0
10 Feb 2025
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
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
131
1
0
09 Feb 2025
DPBridge: Latent Diffusion Bridge for Dense Prediction
DPBridge: Latent Diffusion Bridge for Dense Prediction
Haorui Ji
Taojun Lin
Hongdong Li
DiffM
208
1
0
29 Dec 2024
Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis
Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis
Anton Voronov
Denis Kuznedelev
Mikhail Khoroshikh
Valentin Khrulkov
Dmitry Baranchuk
177
3
0
02 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
129
0
0
29 Nov 2024
High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion
High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion
Junhwa Hur
Charles Herrmann
Saurabh Saxena
Janne Kontkanen
Wei-Sheng Lai
Yichang Shih
Michael Rubinstein
David J. Fleet
Deqing Sun
86
0
0
15 Oct 2024
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
Zikun Zhang
Zixiang Chen
Quanquan Gu
DiffM
90
5
0
03 Oct 2024
PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions
PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions
Weifeng Lin
Xinyu Wei
Renrui Zhang
Le Zhuo
Shitian Zhao
...
Junlin Xie
Junlin Xie
Yu Qiao
Peng Gao
Hongsheng Li
MLLM
DiffM
120
13
0
23 Sep 2024
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding
Yunze Man
Shuhong Zheng
Zhipeng Bao
M. Hebert
Liang-Yan Gui
Yu-Xiong Wang
113
19
0
05 Sep 2024
Contrastive Learning with Synthetic Positives
Contrastive Learning with Synthetic Positives
Dewen Zeng
Yawen Wu
Xinrong Hu
Xiaowei Xu
Yiyu Shi
SyDa
SSL
111
1
0
30 Aug 2024
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms
L. Bogensperger
Dominik Narnhofer
Alexander Falk
Konrad Schindler
Thomas Pock
MedIm
189
3
0
28 May 2024
Curriculum Direct Preference Optimization for Diffusion and Consistency Models
Curriculum Direct Preference Optimization for Diffusion and Consistency Models
Florinel-Alin Croitoru
Vlad Hondru
Radu Tudor Ionescu
N. Sebe
Mubarak Shah
EGVM
120
7
0
22 May 2024
Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models
Zero-Shot Medical Phrase Grounding with Off-the-shelf Diffusion Models
Konstantinos Vilouras
Pedro Sanchez
Alison Q. OÑeil
Sotirios A. Tsaftaris
MedIm
104
2
0
19 Apr 2024
Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models
Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models
Jiachen Ma
Anda Cao
Zhiqing Xiao
Jie Zhang
Chaonan Ye
Chao Ye
Junbo Zhao
74
31
0
02 Apr 2024
Explore In-Context Segmentation via Latent Diffusion Models
Explore In-Context Segmentation via Latent Diffusion Models
Chaoyang Wang
Xiangtai Li
Henghui Ding
Lu Qi
Jiangning Zhang
Yunhai Tong
Chen Change Loy
Shuicheng Yan
DiffM
112
6
0
14 Mar 2024
Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
Dorjan Hitaj
Giulio Pagnotta
Fabio De Gaspari
Sediola Ruko
Briland Hitaj
Luigi V. Mancini
Fernando Perez-Cruz
80
5
0
06 Mar 2024
Balancing Act: Distribution-Guided Debiasing in Diffusion Models
Balancing Act: Distribution-Guided Debiasing in Diffusion Models
Rishubh Parihar
Abhijnya Bhat
Abhipsa Basu
Saswat Mallick
Jogendra Nath Kundu
R. V. Babu
92
18
0
28 Feb 2024
Tell Me What You See: Text-Guided Real-World Image Denoising
Tell Me What You See: Text-Guided Real-World Image Denoising
E. Yosef
Raja Giryes
DiffM
83
2
0
15 Dec 2023
Language-Guided Diffusion Model for Visual Grounding
Language-Guided Diffusion Model for Visual Grounding
Sijia Chen
Baochun Li
78
5
0
18 Aug 2023
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection
Hui Zhang
Zheng Wang
Dan Zeng
Zuxuan Wu
Yu-Gang Jiang
DiffM
108
28
0
15 Mar 2023
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
427
7,705
0
11 Nov 2021
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative
  Models
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models
Luke Melas-Kyriazi
Christian Rupprecht
Iro Laina
Andrea Vedaldi
OCL
68
53
0
17 May 2021
When Does Contrastive Visual Representation Learning Work?
When Does Contrastive Visual Representation Learning Work?
Elijah Cole
Xuan S. Yang
Kimberly Wilber
Oisin Mac Aodha
Serge Belongie
SSL
66
124
0
12 May 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
181
7,765
0
11 May 2021
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic
  Models
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models
Haoying Li
Yifan Yang
Meng Chang
H. Feng
Zhi-hai Xu
Qi Li
Yue-ting Chen
DiffM
61
631
0
30 Apr 2021
DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort
DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort
Yuxuan Zhang
Huan Ling
Jun Gao
K. Yin
Jean-Francois Lafleche
Adela Barriuso
Antonio Torralba
Sanja Fidler
3DH
GAN
VLM
74
335
0
13 Apr 2021
Semantic Segmentation with Generative Models: Semi-Supervised Learning
  and Strong Out-of-Domain Generalization
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization
Daiqing Li
Junlin Yang
Karsten Kreis
Antonio Torralba
Sanja Fidler
GAN
MedIm
102
187
0
12 Apr 2021
Linear Semantics in Generative Adversarial Networks
Linear Semantics in Generative Adversarial Networks
Jianjin Xu
Changxi Zheng
GAN
63
36
0
01 Apr 2021
Repurposing GANs for One-shot Semantic Part Segmentation
Repurposing GANs for One-shot Semantic Part Segmentation
Nontawat Tritrong
Pitchaporn Rewatbowornwong
Supasorn Suwajanakorn
76
109
0
07 Mar 2021
Improved Denoising Diffusion Probabilistic Models
Improved Denoising Diffusion Probabilistic Models
Alex Nichol
Prafulla Dhariwal
DiffM
295
3,671
0
18 Feb 2021
Designing an Encoder for StyleGAN Image Manipulation
Designing an Encoder for StyleGAN Image Manipulation
Omer Tov
Yuval Alaluf
Yotam Nitzan
Or Patashnik
Daniel Cohen-Or
259
783
0
04 Feb 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffM
SyDa
294
6,409
0
26 Nov 2020
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them
  on Images
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
R. Child
BDL
VLM
177
350
0
20 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
545
40,739
0
22 Oct 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
510
17,888
0
19 Jun 2020
Learning High-Resolution Domain-Specific Representations with a GAN
  Generator
Learning High-Resolution Domain-Specific Representations with a GAN Generator
Danil Galeev
Konstantin Sofiiuk
D. Rukhovich
Mikhail Romanov
O. Barinova
Anton Konushin
GAN
66
15
0
18 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
215
4,070
0
17 Jun 2020
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