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Regularized Personalization of Text-to-Image Diffusion Models without Distributional Drift

Regularized Personalization of Text-to-Image Diffusion Models without Distributional Drift

26 May 2025
Gihoon Kim
Hyungjin Park
Taesup Kim
    DiffM
    VLM
ArXivPDFHTML

Papers citing "Regularized Personalization of Text-to-Image Diffusion Models without Distributional Drift"

50 / 55 papers shown
Title
DreamBlend: Advancing Personalized Fine-tuning of Text-to-Image
  Diffusion Models
DreamBlend: Advancing Personalized Fine-tuning of Text-to-Image Diffusion Models
Shwetha Ram
T. Neiman
Qianli Feng
Andrew Stuart
S. D. Tran
Trishul Chilimbi
92
2
0
28 Nov 2024
DreamCache: Finetuning-Free Lightweight Personalized Image Generation
  via Feature Caching
DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching
Emanuele Aiello
Umberto Michieli
D. Valsesia
Mete Ozay
E. Magli
DiffM
80
2
0
26 Nov 2024
DreamSteerer: Enhancing Source Image Conditioned Editability using
  Personalized Diffusion Models
DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models
Zhengyang Yu
Zhaoyuan Yang
Jing Zhang
DiffM
62
3
0
15 Oct 2024
Step-by-Step Diffusion: An Elementary Tutorial
Step-by-Step Diffusion: An Elementary Tutorial
Preetum Nakkiran
Arwen Bradley
Hattie Zhou
Madhu Advani
DiffM
67
9
0
13 Jun 2024
PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction
PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction
Shangyu Chen
Zizheng Pan
Jianfei Cai
Dinh Q. Phung
65
1
0
09 Jun 2024
Improved Distribution Matching Distillation for Fast Image Synthesis
Improved Distribution Matching Distillation for Fast Image Synthesis
Tianwei Yin
Michael Gharbi
Taesung Park
Richard Zhang
Eli Shechtman
Frédo Durand
William T. Freeman
DiffM
92
116
0
23 May 2024
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image
  Diffusion Models
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models
Shweta Mahajan
Tanzila Rahman
Kwang Moo Yi
Leonid Sigal
DiffM
61
20
0
19 Dec 2023
One-step Diffusion with Distribution Matching Distillation
One-step Diffusion with Distribution Matching Distillation
Tianwei Yin
Michael Gharbi
Richard Zhang
Eli Shechtman
Frédo Durand
William T. Freeman
Taesung Park
DiffM
162
261
0
30 Nov 2023
Adversarial Diffusion Distillation
Adversarial Diffusion Distillation
Axel Sauer
Dominik Lorenz
A. Blattmann
Robin Rombach
176
371
0
28 Nov 2023
Kosmos-G: Generating Images in Context with Multimodal Large Language
  Models
Kosmos-G: Generating Images in Context with Multimodal Large Language Models
Xichen Pan
Li Dong
Shaohan Huang
Zhiliang Peng
Wenhu Chen
Furu Wei
VLM
108
67
0
04 Oct 2023
Subject-Diffusion:Open Domain Personalized Text-to-Image Generation
  without Test-time Fine-tuning
Subject-Diffusion:Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning
Jiancang Ma
Junhao Liang
Chen Chen
H. Lu
38
151
0
21 Jul 2023
SDXL: Improving Latent Diffusion Models for High-Resolution Image
  Synthesis
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Dustin Podell
Zion English
Kyle Lacey
A. Blattmann
Tim Dockhorn
Jonas Muller
Joe Penna
Robin Rombach
198
2,331
0
04 Jul 2023
Norm-guided latent space exploration for text-to-image generation
Norm-guided latent space exploration for text-to-image generation
Dvir Samuel
Rami Ben-Ari
N. Darshan
Haggai Maron
Gal Chechik
DiffM
60
25
0
14 Jun 2023
Controlling Text-to-Image Diffusion by Orthogonal Finetuning
Controlling Text-to-Image Diffusion by Orthogonal Finetuning
Zeju Qiu
Wei-yu Liu
Haiwen Feng
Yuxuan Xue
Yao Feng
Zhen Liu
Dan Zhang
Adrian Weller
Bernhard Schölkopf
DiffM
70
150
0
12 Jun 2023
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with
  Variational Score Distillation
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
Zhengyi Wang
Cheng Lu
Yikai Wang
Fan Bao
Chongxuan Li
Hang Su
Jun Zhu
DiffM
153
853
0
25 May 2023
BLIP-Diffusion: Pre-trained Subject Representation for Controllable
  Text-to-Image Generation and Editing
BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
Dongxu Li
Junnan Li
Steven C. H. Hoi
70
322
0
24 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
Yuval Atzmon
DiffM
182
170
0
02 May 2023
Generating images of rare concepts using pre-trained diffusion models
Generating images of rare concepts using pre-trained diffusion models
Dvir Samuel
Rami Ben-Ari
Simon Raviv
N. Darshan
Gal Chechik
156
43
0
27 Apr 2023
Delta Denoising Score
Delta Denoising Score
Amir Hertz
Kfir Aberman
Daniel Cohen-Or
DiffM
68
94
0
14 Apr 2023
Subject-driven Text-to-Image Generation via Apprenticeship Learning
Subject-driven Text-to-Image Generation via Apprenticeship Learning
Wenhu Chen
Hexiang Hu
Yandong Li
Nataniel Rui
Xuhui Jia
Ming-Wei Chang
William W. Cohen
DiffM
79
191
0
01 Apr 2023
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning
Ligong Han
Yinxiao Li
Han Zhang
P. Milanfar
Dimitris N. Metaxas
Feng Yang
DiffM
79
281
0
20 Mar 2023
P+: Extended Textual Conditioning in Text-to-Image Generation
P+: Extended Textual Conditioning in Text-to-Image Generation
A. Voynov
Qinghao Chu
Daniel Cohen-Or
Kfir Aberman
VLM
DiffM
85
185
0
16 Mar 2023
ELITE: Encoding Visual Concepts into Textual Embeddings for Customized
  Text-to-Image Generation
ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation
Yuxiang Wei
Yabo Zhang
Zhilong Ji
Jinfeng Bai
Lei Zhang
W. Zuo
DiffM
56
325
0
27 Feb 2023
T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for
  Text-to-Image Diffusion Models
T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models
Chong Mou
Xintao Wang
Liangbin Xie
Yanze Wu
Shuai Liu
Zhongang Qi
Ying Shan
Xiaohu Qie
DiffM
60
1,010
0
16 Feb 2023
Adding Conditional Control to Text-to-Image Diffusion Models
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang
Anyi Rao
Maneesh Agrawala
AI4CE
105
4,074
1
10 Feb 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
401
4,527
0
30 Jan 2023
Multi-Concept Customization of Text-to-Image Diffusion
Multi-Concept Customization of Text-to-Image Diffusion
Nupur Kumari
Bin Zhang
Richard Y. Zhang
Eli Shechtman
Jun-Yan Zhu
122
866
0
08 Dec 2022
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in
  Diffusion Models
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models
P. Schramowski
Manuel Brack
Bjorn Deiseroth
Kristian Kersting
118
294
0
09 Nov 2022
LAION-5B: An open large-scale dataset for training next generation
  image-text models
LAION-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann
Romain Beaumont
Richard Vencu
Cade Gordon
Ross Wightman
...
Srivatsa Kundurthy
Katherine Crowson
Ludwig Schmidt
R. Kaczmarczyk
J. Jitsev
VLM
MLLM
CLIP
139
3,420
0
16 Oct 2022
DreamFusion: Text-to-3D using 2D Diffusion
DreamFusion: Text-to-3D using 2D Diffusion
Ben Poole
Ajay Jain
Jonathan T. Barron
B. Mildenhall
124
2,394
0
29 Sep 2022
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for
  Subject-Driven Generation
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Nataniel Ruiz
Yuanzhen Li
Varun Jampani
Yael Pritch
Michael Rubinstein
Kfir Aberman
247
2,832
0
25 Aug 2022
Understanding Diffusion Models: A Unified Perspective
Understanding Diffusion Models: A Unified Perspective
Calvin Luo
DiffM
77
341
0
25 Aug 2022
An Image is Worth One Word: Personalizing Text-to-Image Generation using
  Textual Inversion
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Rinon Gal
Yuval Alaluf
Yuval Atzmon
Or Patashnik
Amit H. Bermano
Gal Chechik
Daniel Cohen-Or
107
1,862
0
02 Aug 2022
Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
150
3,858
0
26 Jul 2022
Elucidating the Design Space of Diffusion-Based Generative Models
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras
M. Aittala
Timo Aila
S. Laine
DiffM
160
1,952
0
01 Jun 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language
  Understanding
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia
William Chan
Saurabh Saxena
Lala Li
Jay Whang
...
Raphael Gontijo-Lopes
Tim Salimans
Jonathan Ho
David J Fleet
Mohammad Norouzi
VLM
360
5,978
0
23 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLM
DiffM
348
6,830
0
13 Apr 2022
Locating and Editing Factual Associations in GPT
Locating and Editing Factual Associations in GPT
Kevin Meng
David Bau
A. Andonian
Yonatan Belinkov
KELM
213
1,330
0
10 Feb 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
Guosheng Lin
MLLM
BDL
VLM
CLIP
498
4,324
0
28 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
361
15,373
0
20 Dec 2021
Faster Deep Reinforcement Learning with Slower Online Network
Faster Deep Reinforcement Learning with Slower Online Network
Kavosh Asadi
Rasool Fakoor
Omer Gottesman
Taesup Kim
Michael L. Littman
Alexander J. Smola
OnRL
25
7
0
10 Dec 2021
LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
Christoph Schuhmann
Richard Vencu
Romain Beaumont
R. Kaczmarczyk
Clayton Mullis
Aarush Katta
Theo Coombes
J. Jitsev
Aran Komatsuzaki
VLM
MLLM
CLIP
206
1,422
0
03 Nov 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
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
611
6,029
0
29 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
818
29,167
0
26 Feb 2021
Improved Denoising Diffusion Probabilistic Models
Improved Denoising Diffusion Probabilistic Models
Alex Nichol
Prafulla Dhariwal
DiffM
293
3,648
0
18 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
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
213
7,294
0
06 Oct 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
505
17,888
0
19 Jun 2020
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDa
DiffM
213
3,870
0
12 Jul 2019
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