ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2411.04571
  4. Cited By
DomainGallery: Few-shot Domain-driven Image Generation by
  Attribute-centric Finetuning

DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning

7 November 2024
Yuxuan Duan
Y. Hong
Bo Zhang
Jun Lan
Huijia Zhu
Weiqiang Wang
Jianfu Zhang
Li Niu
Lefei Zhang
    DiffM
ArXiv (abs)PDFHTMLGithub (1★)

Papers citing "DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning"

27 / 27 papers shown
Title
ControlStyle: Text-Driven Stylized Image Generation Using Diffusion
  Priors
ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors
Jingwen Chen
Yingwei Pan
Ting Yao
Tao Mei
DiffM
83
40
0
09 Nov 2023
WeditGAN: Few-Shot Image Generation via Latent Space Relocation
WeditGAN: Few-Shot Image Generation via Latent Space Relocation
Yuxuan Duan
Li Niu
Y. Hong
Liqing Zhang
76
13
0
11 May 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
97
192
0
01 Apr 2023
Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation
Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation
Yuxuan Duan
Y. Hong
Li Niu
Liqing Zhang
81
59
0
04 Mar 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
147
872
0
08 Dec 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
VLMMLLMCLIP
192
3,482
0
16 Oct 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
279
2,861
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
161
1,889
0
02 Aug 2022
Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
193
3,898
0
26 Jul 2022
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Jiahui Yu
Yuanzhong Xu
Jing Yu Koh
Thang Luong
Gunjan Baid
...
Zarana Parekh
Xin Li
Han Zhang
Jason Baldridge
Yonghui Wu
EGVM
190
1,121
0
22 Jun 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
VLMDiffM
407
6,866
0
13 Apr 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
460
15,665
0
20 Dec 2021
GLIDE: Towards Photorealistic Image Generation and Editing with
  Text-Guided Diffusion Models
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Alex Nichol
Prafulla Dhariwal
Aditya A. Ramesh
Pranav Shyam
Pamela Mishkin
Bob McGrew
Ilya Sutskever
Mark Chen
358
3,605
0
20 Dec 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
241
7,857
0
11 May 2021
Few-shot Image Generation via Cross-domain Correspondence
Few-shot Image Generation via Cross-domain Correspondence
Utkarsh Ojha
Yijun Li
Jingwan Lu
Alexei A. Efros
Yong Jae Lee
Eli Shechtman
Richard Y. Zhang
115
262
0
13 Apr 2021
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
418
4,953
0
24 Feb 2021
Few-shot Image Generation with Elastic Weight Consolidation
Few-shot Image Generation with Elastic Weight Consolidation
Yijun Li
Richard Y. Zhang
Jingwan Lu
Eli Shechtman
3DH
91
169
0
04 Dec 2020
Few-Shot Adaptation of Generative Adversarial Networks
Few-Shot Adaptation of Generative Adversarial Networks
Esther Robb
Wen-Sheng Chu
Abhishek Kumar
Jia-Bin Huang
78
100
0
22 Oct 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLMDiffM
283
7,384
0
06 Oct 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
650
18,096
0
19 Jun 2020
Training Generative Adversarial Networks with Limited Data
Training Generative Adversarial Networks with Limited Data
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
GAN
161
1,886
0
11 Jun 2020
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Sangwoo Mo
Minsu Cho
Jinwoo Shin
85
214
0
25 Feb 2020
MineGAN: effective knowledge transfer from GANs to target domains with
  few images
MineGAN: effective knowledge transfer from GANs to target domains with few images
Yaxing Wang
Abel Gonzalez-Garcia
David Berga
Luis Herranz
Fahad Shahbaz Khan
Joost van de Weijer
GAN
46
189
0
11 Dec 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
593
10,561
0
12 Dec 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
377
11,795
0
11 Jan 2018
Demystifying MMD GANs
Demystifying MMD GANs
Mikolaj Binkowski
Danica J. Sutherland
Michael Arbel
Arthur Gretton
EGVM
144
1,493
0
04 Jan 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,196
0
18 May 2015
1