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Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models
8 June 2023
Nan Liu
Yilun Du
Shuang Li
J. Tenenbaum
Antonio Torralba
DiffM
CoGe
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Papers citing
"Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models"
27 / 27 papers shown
Title
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
BDL
VLM
164
0
0
20 Mar 2025
SliderSpace: Decomposing the Visual Capabilities of Diffusion Models
Rohit Gandikota
Zongze Wu
Richard Zhang
David Bau
Eli Shechtman
Nick Kolkin
DiffM
53
1
0
03 Feb 2025
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
Xin-Chao Xu
Yi Qin
Lu Mi
Hao Wang
Xiaomeng Li
74
9
0
03 Jan 2025
Few-Shot Task Learning through Inverse Generative Modeling
Aviv Netanyahu
Yilun Du
Antonia Bronars
Jyothish Pari
J. Tenenbaum
Tianmin Shu
Pulkit Agrawal
51
1
0
07 Nov 2024
Hierarchical Clustering for Conditional Diffusion in Image Generation
Jorge da Silva Goncalves
Laura Manduchi
Moritz Vandenhirtz
Julia E. Vogt
DiffM
26
0
0
22 Oct 2024
ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept Extraction
Shaozhe Hao
Kai Han
Zhengyao Lv
Shihao Zhao
Kwan-Yee K. Wong
DiffM
CoGe
36
5
0
09 Jul 2024
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space
Core Francisco Park
Maya Okawa
Andrew Lee
Ekdeep Singh Lubana
Hidenori Tanaka
62
7
0
27 Jun 2024
Compositional Image Decomposition with Diffusion Models
Jocelin Su
Nan Liu
Yanbo Wang
Joshua B. Tenenbaum
Yilun Du
CoGe
47
6
0
27 Jun 2024
Compositional Video Generation as Flow Equalization
Xingyi Yang
Xinchao Wang
DiffM
VGen
61
7
0
10 Jun 2024
Learning Discrete Concepts in Latent Hierarchical Models
Lingjing Kong
Guan-Hong Chen
Erdun Gao
Eric P. Xing
Yuejie Chi
Anton van den Hengel
52
4
0
01 Jun 2024
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
43
6
0
29 Apr 2024
GANTASTIC: GAN-based Transfer of Interpretable Directions for Disentangled Image Editing in Text-to-Image Diffusion Models
Yusuf Dalva
Hidir Yesiltepe
Pinar Yanardag
DiffM
32
2
0
28 Mar 2024
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
43
37
0
26 Feb 2024
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
33
1
0
14 Feb 2024
Do Diffusion Models Learn Semantically Meaningful and Efficient Representations?
Qiyao Liang
Ziming Liu
Ila Fiete
DiffM
18
2
0
05 Feb 2024
Compositional Generative Modeling: A Single Model is Not All You Need
Yilun Du
L. Kaelbling
PINN
GAN
51
20
0
02 Feb 2024
NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models
Yusuf Dalva
Pinar Yanardag
DiffM
26
18
0
08 Dec 2023
Language-Informed Visual Concept Learning
Sharon Lee
Yunzhi Zhang
Shangzhe Wu
Jiajun Wu
CoGe
24
9
0
06 Dec 2023
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
25
14
0
06 Nov 2023
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
DiffM
AI4CE
28
6
0
19 Oct 2023
Interpretable Diffusion via Information Decomposition
Xianghao Kong
Ollie Liu
Han Li
Dani Yogatama
Greg Ver Steeg
21
20
0
12 Oct 2023
Compositional Sculpting of Iterative Generative Processes
Yixuan Wang
Sebastiaan De Peuter
Mingtong Zhang
Vikas K. Garg
Samuel Kaski
Tommi Jaakkola
DiffM
24
15
0
28 Sep 2023
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
VLM
DiffM
26
45
0
06 Sep 2023
The Hidden Language of Diffusion Models
Hila Chefer
Oran Lang
Mor Geva
Volodymyr Polosukhin
Assaf Shocher
Michal Irani
Inbar Mosseri
Lior Wolf
DiffM
20
26
0
01 Jun 2023
Attribute-Centric Compositional Text-to-Image Generation
Yuren Cong
Martin Renqiang Min
Erran L. Li
Bodo Rosenhahn
M. Yang
68
11
0
04 Jan 2023
MagicMix: Semantic Mixing with Diffusion Models
Jun Hao Liew
Hanshu Yan
Daquan Zhou
Jiashi Feng
DiffM
184
60
0
28 Oct 2022
Unsupervised Discovery of 3D Physical Objects from Video
Yilun Du
Kevin A. Smith
Tomer Ulman
J. Tenenbaum
Jiajun Wu
OCL
113
37
0
24 Jul 2020
1