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Uncovering the Disentanglement Capability in Text-to-Image Diffusion
  Models

Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models

16 December 2022
Qiucheng Wu
Yujian Liu
Handong Zhao
Ajinkya Kale
T. Bui
Tong Yu
Zhe-nan Lin
Yang Zhang
Shiyu Chang
    DiffM
    CoGe
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Papers citing "Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models"

28 / 78 papers shown
Title
Free3D: Consistent Novel View Synthesis without 3D Representation
Free3D: Consistent Novel View Synthesis without 3D Representation
Chuanxia Zheng
Andrea Vedaldi
3DV
39
48
0
07 Dec 2023
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models
Jiayi Guo
Xingqian Xu
Yifan Pu
Zanlin Ni
Chaofei Wang
Manushree Vasu
Shiji Song
Gao Huang
Humphrey Shi
DiffM
29
28
0
07 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
LEDITS++: Limitless Image Editing using Text-to-Image Models
LEDITS++: Limitless Image Editing using Text-to-Image Models
Manuel Brack
Felix Friedrich
Katharina Kornmeier
Linoy Tsaban
P. Schramowski
Kristian Kersting
Apolinário Passos
DiffM
32
69
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
Reducing Spatial Fitting Error in Distillation of Denoising Diffusion
  Models
Reducing Spatial Fitting Error in Distillation of Denoising Diffusion Models
Shengzhe Zhou
Zejian Lee
Sheng Zhang
Lefan Hou
Changyuan Yang
Guang Yang
Zhiyuan Yang
Lingyun Sun
DiffM
35
0
0
07 Nov 2023
Leveraging Diffusion Disentangled Representations to Mitigate Shortcuts
  in Underspecified Visual Tasks
Leveraging Diffusion Disentangled Representations to Mitigate Shortcuts in Underspecified Visual Tasks
Luca Scimeca
Alexander Rubinstein
A. Nicolicioiu
Damien Teney
Yoshua Bengio
DiffM
26
2
0
03 Oct 2023
Direct Inversion: Boosting Diffusion-based Editing with 3 Lines of Code
Direct Inversion: Boosting Diffusion-based Editing with 3 Lines of Code
Xu Ju
Ailing Zeng
Hao Wang
Shaoteng Liu
Qiang Xu
DiffM
34
67
0
02 Oct 2023
EMOCONV-DIFF: Diffusion-based Speech Emotion Conversion for Non-parallel
  and In-the-wild Data
EMOCONV-DIFF: Diffusion-based Speech Emotion Conversion for Non-parallel and In-the-wild Data
N. Prabhu
Bunlong Lay
Simon Welker
N. Lehmann-Willenbrock
Timo Gerkmann
DiffM
19
3
0
14 Sep 2023
The Power of Sound (TPoS): Audio Reactive Video Generation with Stable
  Diffusion
The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion
Yujin Jeong
Won-Wha Ryoo
Seunghyun Lee
Dabin Seo
Wonmin Byeon
Sangpil Kim
Jinkyu Kim
DiffM
24
29
0
08 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
Zero-Shot Image Harmonization with Generative Model Prior
Zero-Shot Image Harmonization with Generative Model Prior
Jianqi Chen
Yilan Zhang
Zhengxia Zou
Keyan Chen
Z. Shi
DiffM
28
5
0
17 Jul 2023
DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer
DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer
Dan Ruta
Gemma Canet Tarrés
Andrew Gilbert
Eli Shechtman
Nicholas I. Kolkin
John Collomosse
DiffM
19
5
0
09 Jul 2023
Unsupervised Compositional Concepts Discovery with Text-to-Image
  Generative Models
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models
Nan Liu
Yilun Du
Shuang Li
J. Tenenbaum
Antonio Torralba
DiffM
CoGe
8
24
0
08 Jun 2023
User-friendly Image Editing with Minimal Text Input: Leveraging
  Captioning and Injection Techniques
User-friendly Image Editing with Minimal Text Input: Leveraging Captioning and Injection Techniques
Sunwoo Kim
Wooseok Jang
Hyunsung Kim
Junho Kim
Yunjey Choi
Seung Wook Kim
Gayeong Lee
DiffM
39
6
0
05 Jun 2023
ProSpect: Prompt Spectrum for Attribute-Aware Personalization of
  Diffusion Models
ProSpect: Prompt Spectrum for Attribute-Aware Personalization of Diffusion Models
Yu-xin Zhang
Weiming Dong
Fan Tang
Nisha Huang
Haibin Huang
Chongyang Ma
Tong-Yee Lee
Oliver Deussen
Changsheng Xu
DiffM
29
75
0
25 May 2023
Key-Locked Rank One Editing for Text-to-Image Personalization
Key-Locked Rank One Editing for Text-to-Image Personalization
Yoad Tewel
Rinon Gal
Gal Chechik
Y. Atzmon
DiffM
140
168
0
02 May 2023
Not Only Generative Art: Stable Diffusion for Content-Style
  Disentanglement in Art Analysis
Not Only Generative Art: Stable Diffusion for Content-Style Disentanglement in Art Analysis
Yankun Wu
Yuta Nakashima
Noa Garcia
CoGe
DiffM
34
26
0
20 Apr 2023
Improving Diffusion Models for Scene Text Editing with Dual Encoders
Improving Diffusion Models for Scene Text Editing with Dual Encoders
Jiabao Ji
Guanhua Zhang
Zhaowen Wang
Bairu Hou
Zhifei Zhang
Brian L. Price
Shiyu Chang
DiffM
32
29
0
12 Apr 2023
Harnessing the Spatial-Temporal Attention of Diffusion Models for
  High-Fidelity Text-to-Image Synthesis
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis
Qiucheng Wu
Yujian Liu
Handong Zhao
T. Bui
Zhe-nan Lin
Yang Zhang
Shiyu Chang
DiffM
42
44
0
07 Apr 2023
PARASOL: Parametric Style Control for Diffusion Image Synthesis
PARASOL: Parametric Style Control for Diffusion Image Synthesis
Gemma Canet Tarrés
Dan Ruta
Tu Bui
John Collomosse
DiffM
34
6
0
11 Mar 2023
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory
  Retrieval
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval
Kexun Zhang
Xianjun Yang
William Yang Wang
Lei Li
DiffM
47
8
0
05 Feb 2023
DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
Tao Yang
Yuwang Wang
Yan Lv
Nanning Zh
DiffM
30
22
0
31 Jan 2023
SEGA: Instructing Text-to-Image Models using Semantic Guidance
SEGA: Instructing Text-to-Image Models using Semantic Guidance
Manuel Brack
Felix Friedrich
Dominik Hintersdorf
Lukas Struppek
P. Schramowski
Kristian Kersting
DiffM
VLM
25
0
0
28 Jan 2023
One-shot Ultra-high-Resolution Generative Adversarial Network That
  Synthesizes 16K Images On A Single GPU
One-shot Ultra-high-Resolution Generative Adversarial Network That Synthesizes 16K Images On A Single GPU
Junseok Oh
Donghwee Yoon
Injung Kim
31
1
0
28 Feb 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Andreas Lugmayr
Martin Danelljan
Andrés Romero
F. I. F. Richard Yu
Radu Timofte
Luc Van Gool
DiffM
224
1,355
0
24 Jan 2022
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffM
VLM
342
1,591
0
10 Nov 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
282
10,354
0
12 Dec 2018
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