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Discovering Interpretable Directions in the Semantic Latent Space of
  Diffusion Models

Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models

20 March 2023
René Haas
Inbar Huberman-Spiegelglas
Rotem Mulayoff
Stella Graßhof
Sami S. Brandt
T. Michaeli
    DiffM
ArXivPDFHTML

Papers citing "Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models"

32 / 32 papers shown
Title
Emergence and Evolution of Interpretable Concepts in Diffusion Models
Emergence and Evolution of Interpretable Concepts in Diffusion Models
Berk Tinaz
Zalan Fabian
Mahdi Soltanolkotabi
DiffM
23
0
0
21 Apr 2025
Patronus: Bringing Transparency to Diffusion Models with Prototypes
Patronus: Bringing Transparency to Diffusion Models with Prototypes
Nina Weng
Aasa Feragen
Siavash Bigdeli
DiffM
41
0
0
28 Mar 2025
Superscopes: Amplifying Internal Feature Representations for Language Model Interpretation
Jonathan Jacobi
Gal Niv
LRM
ReLM
60
0
0
03 Mar 2025
Generative Modeling on Lie Groups via Euclidean Generalized Score Matching
Generative Modeling on Lie Groups via Euclidean Generalized Score Matching
Marco Bertolini
Tuan Le
Djork-Arné Clevert
DiffM
86
0
0
04 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
39
0
0
03 Jan 2025
Unsupervised Region-Based Image Editing of Denoising Diffusion Models
Unsupervised Region-Based Image Editing of Denoising Diffusion Models
ZeLin Li
Yue Song
R. Tao
Xiaohong Jia
Yao Zhao
Wei Wang
DiffM
82
0
0
17 Dec 2024
Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of
  Latent Space Biases and Representations Using Natural Language Prompts
Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts
E. Z. Zeng
Yuhao Chen
A. Wong
DiffM
36
0
0
25 Oct 2024
Latent Abstractions in Generative Diffusion Models
Latent Abstractions in Generative Diffusion Models
Giulio Franzese
Mattia Martini
Giulio Corallo
Paolo Papotti
Pietro Michiardi
DiffM
38
0
0
04 Oct 2024
Exploring the Potentials and Challenges of Deep Generative Models in
  Product Design Conception
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception
Phillip Mueller
Lars Mikelsons
AI4CE
41
1
0
15 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
62
7
0
27 Jun 2024
DiffLoss: unleashing diffusion model as constraint for training image
  restoration network
DiffLoss: unleashing diffusion model as constraint for training image restoration network
Jiangtong Tan
Feng Zhao
36
0
0
27 Jun 2024
FouRA: Fourier Low Rank Adaptation
FouRA: Fourier Low Rank Adaptation
Shubhankar Borse
Shreya Kadambi
N. Pandey
Kartikeya Bhardwaj
Viswanath Ganapathy
Sweta Priyadarshi
Risheek Garrepalli
Rafael Esteves
Munawar Hayat
Fatih Porikli
39
6
0
13 Jun 2024
DiffusionPID: Interpreting Diffusion via Partial Information
  Decomposition
DiffusionPID: Interpreting Diffusion via Partial Information Decomposition
Shaurya Dewan
Rushikesh Zawar
Prakanshul Saxena
Yingshan Chang
Andrew F. Luo
Yonatan Bisk
DiffM
43
4
0
07 Jun 2024
Varying Manifolds in Diffusion: From Time-varying Geometries to Visual
  Saliency
Varying Manifolds in Diffusion: From Time-varying Geometries to Visual Saliency
Junhao Chen
Manyi Li
Zherong Pan
Xifeng Gao
Changhe Tu
DiffM
40
2
0
07 Jun 2024
Understanding the Limitations of Diffusion Concept Algebra Through Food
Understanding the Limitations of Diffusion Concept Algebra Through Food
E. Z. Zeng
Yuhao Chen
A. Wong
37
0
0
05 Jun 2024
Global Counterfactual Directions
Global Counterfactual Directions
Bartlomiej Sobieski
P. Biecek
DiffM
58
5
0
18 Apr 2024
Uncovering the Text Embedding in Text-to-Image Diffusion Models
Uncovering the Text Embedding in Text-to-Image Diffusion Models
Huikang Yu
Hao Luo
Fan Wang
Feng Zhao
31
10
0
01 Apr 2024
An Analysis of Human Alignment of Latent Diffusion Models
An Analysis of Human Alignment of Latent Diffusion Models
Lorenz Linhardt
Marco Morik
Sidney Bender
Naima Elosegui Borras
DiffM
33
3
0
13 Mar 2024
On the Semantic Latent Space of Diffusion-Based Text-to-Speech Models
On the Semantic Latent Space of Diffusion-Based Text-to-Speech Models
Miri Varshavsky-Hassid
Roy Hirsch
Regev Cohen
Tomer Golany
Daniel Freedman
Ehud Rivlin
26
3
0
19 Feb 2024
Zero-Shot Unsupervised and Text-Based Audio Editing Using DDPM Inversion
Zero-Shot Unsupervised and Text-Based Audio Editing Using DDPM Inversion
Hila Manor
T. Michaeli
DiffM
23
25
0
15 Feb 2024
Latent Space Editing in Transformer-Based Flow Matching
Latent Space Editing in Transformer-Based Flow Matching
Vincent Tao Hu
David W. Zhang
Pascal Mettes
Meng Tang
Deli Zhao
Cees G. M. Snoek
50
29
0
17 Dec 2023
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
26
18
0
08 Dec 2023
LooseControl: Lifting ControlNet for Generalized Depth Conditioning
LooseControl: Lifting ControlNet for Generalized Depth Conditioning
Shariq Farooq Bhat
Niloy J. Mitra
Peter Wonka
AI4CE
DiffM
36
34
0
05 Dec 2023
Self-Discovering Interpretable Diffusion Latent Directions for
  Responsible Text-to-Image Generation
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation
Hang Li
Chengzhi Shen
Philip H. S. Torr
Volker Tresp
Jindong Gu
26
32
0
28 Nov 2023
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models
Rohit Gandikota
Joanna Materzyñska
Tingrui Zhou
Antonio Torralba
David Bau
DiffM
37
62
0
20 Nov 2023
Subjective Face Transform using Human First Impressions
Subjective Face Transform using Human First Impressions
Chaitanya Roygaga
Joshua Krinsky
Kai Zhang
Kenny Kwok
Aparna Bharati
CVBM
41
0
0
27 Sep 2023
Understanding the Latent Space of Diffusion Models through the Lens of
  Riemannian Geometry
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry
Yong-Hyun Park
Mingi Kwon
J. Choi
Junghyo Jo
Youngjung Uh
DiffM
40
60
0
24 Jul 2023
A Neural Space-Time Representation for Text-to-Image Personalization
A Neural Space-Time Representation for Text-to-Image Personalization
Yuval Alaluf
Elad Richardson
G. Metzer
Daniel Cohen-Or
DiffM
28
94
0
24 May 2023
Concept Algebra for (Score-Based) Text-Controlled Generative Models
Concept Algebra for (Score-Based) Text-Controlled Generative Models
Zihao Wang
Lin Gui
Jeffrey Negrea
Victor Veitch
CoGe
DiffM
32
32
0
07 Feb 2023
A Survey on Deep Generative 3D-aware Image Synthesis
A Survey on Deep Generative 3D-aware Image Synthesis
Weihao Xia
Jing-Hao Xue
3DV
31
20
0
25 Oct 2022
Diffusion-based Image Translation using Disentangled Style and Content
  Representation
Diffusion-based Image Translation using Disentangled Style and Content Representation
Gihyun Kwon
Jong Chul Ye
DiffM
157
155
0
30 Sep 2022
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,781
0
24 Feb 2021
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