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Unsupervised Compositional Concepts Discovery with Text-to-Image
  Generative Models
v1v2 (latest)

Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models

8 June 2023
Nan Liu
Yilun Du
Shuang Li
J. Tenenbaum
Antonio Torralba
    DiffMCoGe
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models"

27 / 27 papers shown
Title
Compositional Scene Understanding through Inverse Generative Modeling
Compositional Scene Understanding through Inverse Generative Modeling
Yanbo Wang
Justin Dauwels
Yilun Du
OCL
86
0
0
27 May 2025
Harnessing Caption Detailness for Data-Efficient Text-to-Image Generation
Harnessing Caption Detailness for Data-Efficient Text-to-Image Generation
Xinran Wang
Muxi Diao
Yuanzhi Liu
Chunyu Wang
Kongming Liang
Zhanyu Ma
Jun Guo
96
0
0
21 May 2025
Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance
Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance
Hui Liu
Wenya Wang
Kecheng Chen
Jie Liu
Yibing Liu
Tiexin Qin
Peisong He
Xinghao Jiang
Haoliang Li
BDLVLM
485
0
0
20 Mar 2025
SliderSpace: Decomposing the Visual Capabilities of Diffusion Models
SliderSpace: Decomposing the Visual Capabilities of Diffusion Models
Rohit Gandikota
Zongze Wu
Richard Zhang
David Bau
Eli Shechtman
Nick Kolkin
DiffM
95
2
0
03 Feb 2025
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
Xin-Chao Xu
Yi Qin
Lu Mi
Hao Wang
Xuelong Li
181
12
0
03 Jan 2025
Few-Shot Task Learning through Inverse Generative Modeling
Few-Shot Task Learning through Inverse Generative Modeling
Aviv Netanyahu
Yilun Du
Antonia Bronars
Jyothish Pari
J. Tenenbaum
Tianmin Shu
Pulkit Agrawal
153
4
0
07 Nov 2024
Hierarchical Clustering for Conditional Diffusion in Image Generation
Hierarchical Clustering for Conditional Diffusion in Image Generation
Jorge da Silva Goncalves
Laura Manduchi
Moritz Vandenhirtz
Julia E. Vogt
DiffM
78
0
0
22 Oct 2024
ConceptExpress: Harnessing Diffusion Models for Single-image
  Unsupervised Concept Extraction
ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept Extraction
Shaozhe Hao
Kai Han
Zhengyao Lv
Shihao Zhao
Kwan-Yee K. Wong
DiffMCoGe
129
7
0
09 Jul 2024
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept
  Space
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space
Core Francisco Park
Maya Okawa
Andrew Lee
Ekdeep Singh Lubana
Hidenori Tanaka
121
21
0
27 Jun 2024
Compositional Image Decomposition with Diffusion Models
Compositional Image Decomposition with Diffusion Models
Jocelin Su
Nan Liu
Yanbo Wang
Joshua B. Tenenbaum
Yilun Du
CoGe
101
10
0
27 Jun 2024
Compositional Video Generation as Flow Equalization
Compositional Video Generation as Flow Equalization
Xingyi Yang
Xinchao Wang
DiffMVGen
133
7
0
10 Jun 2024
Learning Discrete Concepts in Latent Hierarchical Models
Learning Discrete Concepts in Latent Hierarchical Models
Lingjing Kong
Guan-Hong Chen
Erdun Gao
Eric P. Xing
Yuejie Chi
Kun Zhang
145
5
0
01 Jun 2024
Stylus: Automatic Adapter Selection for Diffusion Models
Stylus: Automatic Adapter Selection for Diffusion Models
Michael Luo
Justin Wong
Brandon Trabucco
Yanping Huang
Joseph E. Gonzalez
Zhifeng Chen
Ruslan Salakhutdinov
Ion Stoica
DiffM
96
7
0
29 Apr 2024
GANTASTIC: GAN-based Transfer of Interpretable Directions for
  Disentangled Image Editing in Text-to-Image Diffusion Models
GANTASTIC: GAN-based Transfer of Interpretable Directions for Disentangled Image Editing in Text-to-Image Diffusion Models
Yusuf Dalva
Hidir Yesiltepe
Pinar Yanardag
DiffM
91
3
0
28 Mar 2024
Multi-LoRA Composition for Image Generation
Multi-LoRA Composition for Image Generation
Ming Zhong
Yelong Shen
Shuohang Wang
Yadong Lu
Yizhu Jiao
Siru Ouyang
Donghan Yu
Jiawei Han
Weizhu Chen
MoMe
77
43
0
26 Feb 2024
Interpretable Measures of Conceptual Similarity by
  Complexity-Constrained Descriptive Auto-Encoding
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding
Alessandro Achille
Greg Ver Steeg
Tian Yu Liu
Matthew Trager
Carson Klingenberg
Stefano Soatto
70
1
0
14 Feb 2024
Do Diffusion Models Learn Semantically Meaningful and Efficient
  Representations?
Do Diffusion Models Learn Semantically Meaningful and Efficient Representations?
Qiyao Liang
Ziming Liu
Ila Fiete
DiffM
112
2
0
05 Feb 2024
Compositional Generative Modeling: A Single Model is Not All You Need
Compositional Generative Modeling: A Single Model is Not All You Need
Yilun Du
L. Kaelbling
PINNGAN
163
25
0
02 Feb 2024
NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of
  Interpretable Directions in Diffusion Models
NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models
Yusuf Dalva
Pinar Yanardag
DiffM
94
20
0
08 Dec 2023
Language-Informed Visual Concept Learning
Language-Informed Visual Concept Learning
Sharon Lee
Yunzhi Zhang
Shangzhe Wu
Jiajun Wu
CoGe
72
9
0
06 Dec 2023
CoVLM: Composing Visual Entities and Relationships in Large Language
  Models Via Communicative Decoding
CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding
Junyan Li
Delin Chen
Yining Hong
Zhenfang Chen
Peihao Chen
Yikang Shen
Chuang Gan
MLLM
127
17
0
06 Nov 2023
Denoising Heat-inspired Diffusion with Insulators for Collision Free
  Motion Planning
Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning
Junwoo Chang
Hyunwoo Ryu
Jiwoo Kim
Soochul Yoo
Jongeun Choi
Joohwan Seo
N. Prakash
R. Horowitz
DiffMAI4CE
94
6
0
19 Oct 2023
Interpretable Diffusion via Information Decomposition
Interpretable Diffusion via Information Decomposition
Xianghao Kong
Ollie Liu
Han Li
Dani Yogatama
Greg Ver Steeg
109
22
0
12 Oct 2023
Compositional Sculpting of Iterative Generative Processes
Compositional Sculpting of Iterative Generative Processes
Yixuan Wang
Sebastiaan De Peuter
Mingtong Zhang
Vikas Garg
Samuel Kaski
Tommi Jaakkola
DiffM
123
15
0
28 Sep 2023
Diffusion Model is Secretly a Training-free Open Vocabulary Semantic
  Segmenter
Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter
Jinglong Wang
Xiawei Li
Jing Zhang
Qingyuan Xu
Qin Zhou
Qian Yu
Lu Sheng
Dong Xu
VLMDiffM
121
48
0
06 Sep 2023
The Hidden Language of Diffusion Models
The Hidden Language of Diffusion Models
Hila Chefer
Oran Lang
Mor Geva
Volodymyr Polosukhin
Assaf Shocher
Michal Irani
Inbar Mosseri
Lior Wolf
DiffM
141
27
0
01 Jun 2023
Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods
Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods
Wonwoong Cho
Hareesh Ravi
Midhun Harikumar
V. Khuc
Krishna Kumar Singh
Jingwan Lu
David I. Inouye
Ajinkya Kale
DiffM
197
7
0
28 Feb 2023
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