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Image-Editing Specialists: An RLAIF Approach for Diffusion Models

Image-Editing Specialists: An RLAIF Approach for Diffusion Models

17 April 2025
Elior Benarous
Yilun Du
Heng Yang
ArXivPDFHTML

Papers citing "Image-Editing Specialists: An RLAIF Approach for Diffusion Models"

17 / 17 papers shown
Title
RB-Modulation: Training-Free Personalization of Diffusion Models using
  Stochastic Optimal Control
RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control
Litu Rout
Yujia Chen
Nataniel Ruiz
Abhishek Kumar
Constantine Caramanis
Sanjay Shakkottai
Wen-Sheng Chu
DiffM
57
24
0
27 May 2024
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image
  Generation
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation
Haofan Wang
Matteo Spinelli
Qixun Wang
Xu Bai
Zekui Qin
Anthony Chen
DiffM
71
89
0
03 Apr 2024
Using Human Feedback to Fine-tune Diffusion Models without Any Reward
  Model
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
Kai Yang
Jian Tao
Jiafei Lyu
Chunjiang Ge
Jiaxin Chen
Qimai Li
Weihan Shen
Xiaolong Zhu
Xiu Li
EGVM
42
102
0
22 Nov 2023
Diffusion Model Alignment Using Direct Preference Optimization
Diffusion Model Alignment Using Direct Preference Optimization
Bram Wallace
Meihua Dang
Rafael Rafailov
Linqi Zhou
Aaron Lou
Senthil Purushwalkam
Stefano Ermon
Caiming Xiong
Shafiq Joty
Nikhil Naik
EGVM
79
251
0
21 Nov 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
70
189
0
01 Apr 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
70
4,015
1
10 Feb 2023
Constitutional AI: Harmlessness from AI Feedback
Constitutional AI: Harmlessness from AI Feedback
Yuntao Bai
Saurav Kadavath
Sandipan Kundu
Amanda Askell
John Kernion
...
Dario Amodei
Nicholas Joseph
Sam McCandlish
Tom B. Brown
Jared Kaplan
SyDa
MoMe
152
1,583
0
15 Dec 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
196
2,789
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
89
1,837
0
02 Aug 2022
Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
86
3,830
0
26 Jul 2022
Compositional Visual Generation with Composable Diffusion Models
Compositional Visual Generation with Composable Diffusion Models
Nan Liu
Shuang Li
Yilun Du
Antonio Torralba
J. Tenenbaum
DiffM
CoGe
118
510
0
03 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
VLM
DiffM
284
6,768
0
13 Apr 2022
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
241
3,552
0
20 Dec 2021
SemanticStyleGAN: Learning Compositional Generative Priors for
  Controllable Image Synthesis and Editing
SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing
Yichun Shi
Xiao Yang
Yangyue Wan
Xiaohui Shen
GAN
171
85
0
04 Dec 2021
Learning to See by Looking at Noise
Learning to See by Looking at Noise
Manel Baradad
Jonas Wulff
Tongzhou Wang
Phillip Isola
Antonio Torralba
59
91
0
10 Jun 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
681
28,659
0
26 Feb 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.2K
76,547
0
18 May 2015
1