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Aligning Text-to-Image Diffusion Models with Reward Backpropagation

Aligning Text-to-Image Diffusion Models with Reward Backpropagation

5 October 2023
Mihir Prabhudesai
Anirudh Goyal
Deepak Pathak
Katerina Fragkiadaki
ArXivPDFHTML

Papers citing "Aligning Text-to-Image Diffusion Models with Reward Backpropagation"

27 / 27 papers shown
Title
Flow-GRPO: Training Flow Matching Models via Online RL
Flow-GRPO: Training Flow Matching Models via Online RL
Jie Liu
Gongye Liu
Jiajun Liang
Y. Li
Jiaheng Liu
X. Wang
Pengfei Wan
Di Zhang
Wanli Ouyang
AI4CE
68
0
0
08 May 2025
Augmenting Perceptual Super-Resolution via Image Quality Predictors
Augmenting Perceptual Super-Resolution via Image Quality Predictors
Fengjia Zhang
Samrudhdhi B. Rangrej
Tristan Aumentado-Armstrong
Afsaneh Fazly
Alex Levinshtein
SupR
65
0
0
25 Apr 2025
SUDO: Enhancing Text-to-Image Diffusion Models with Self-Supervised Direct Preference Optimization
SUDO: Enhancing Text-to-Image Diffusion Models with Self-Supervised Direct Preference Optimization
Liang Peng
Boxi Wu
Haoran Cheng
Yibo Zhao
Xiaofei He
29
0
0
20 Apr 2025
Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards
Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards
Zijing Hu
Fengda Zhang
Long Chen
Kun Kuang
Jiahui Li
Kaifeng Gao
Jun Xiao
X. Wang
Wenwu Zhu
EGVM
51
0
0
14 Mar 2025
Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization
Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization
Kyle Sargent
Kyle Hsu
Justin Johnson
L. Fei-Fei
Jiajun Wu
DiffM
MU
53
2
0
14 Mar 2025
Adding Additional Control to One-Step Diffusion with Joint Distribution Matching
Yihong Luo
Tianyang Hu
Yifan Song
Jiacheng Sun
Z. Li
Jing Tang
DiffM
73
1
0
13 Mar 2025
Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation
Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation
Taeyoung Yun
Dinghuai Zhang
Jinkyoo Park
Ling Pan
DiffM
73
2
0
17 Feb 2025
Dual Caption Preference Optimization for Diffusion Models
Amir Saeidi
Yiran Luo
Agneet Chatterjee
Shamanthak Hegde
Bimsara Pathiraja
Yezhou Yang
Chitta Baral
DiffM
51
0
0
09 Feb 2025
DiffDoctor: Diagnosing Image Diffusion Models Before Treating
DiffDoctor: Diagnosing Image Diffusion Models Before Treating
Yiyang Wang
Xi Chen
Xiaogang Xu
S. Ji
Y. Liu
Yujun Shen
Hengshuang Zhao
DiffM
49
0
0
21 Jan 2025
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
Zhen Liu
Tim Z. Xiao
Weiyang Liu
Yoshua Bengio
Dinghuai Zhang
118
2
0
10 Dec 2024
DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling
DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling
Xin Xie
Dong Gong
82
1
0
01 Dec 2024
Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward
Reward Fine-Tuning Two-Step Diffusion Models via Learning Differentiable Latent-Space Surrogate Reward
Zhiwei Jia
Yuesong Nan
Huixi Zhao
Gengdai Liu
EGVM
86
0
0
22 Nov 2024
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
Chenyu Wang
Masatoshi Uehara
Yichun He
Amy Wang
Tommaso Biancalani
Avantika Lal
Tommi Jaakkola
Sergey Levine
Hanchen Wang
Aviv Regev
48
8
0
17 Oct 2024
Improving Long-Text Alignment for Text-to-Image Diffusion Models
Improving Long-Text Alignment for Text-to-Image Diffusion Models
Luping Liu
Chao Du
Tianyu Pang
Zehan Wang
Chongxuan Li
Dong Xu
VLM
51
5
0
15 Oct 2024
T2V-Turbo-v2: Enhancing Video Generation Model Post-Training through
  Data, Reward, and Conditional Guidance Design
T2V-Turbo-v2: Enhancing Video Generation Model Post-Training through Data, Reward, and Conditional Guidance Design
Jiachen Li
Qian Long
Jian Zheng
Xiaofeng Gao
Robinson Piramuthu
Wenhu Chen
William Yang Wang
VGen
25
22
0
08 Oct 2024
Training-free Diffusion Model Alignment with Sampling Demons
Training-free Diffusion Model Alignment with Sampling Demons
Po-Hung Yeh
Kuang-Huei Lee
Jun-Cheng Chen
24
4
0
08 Oct 2024
HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning
HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning
Ayano Hiranaka
Shang-Fu Chen
Chieh-Hsin Lai
Dongjun Kim
Naoki Murata
Takashi Shibuya
Wei-Hsiang Liao
Shao-Hua Sun
Yuki Mitsufuji
41
1
0
07 Oct 2024
Alignment of Diffusion Models: Fundamentals, Challenges, and Future
Alignment of Diffusion Models: Fundamentals, Challenges, and Future
Buhua Liu
Shitong Shao
Bao Li
Lichen Bai
Zhiqiang Xu
Haoyi Xiong
James Kwok
Sumi Helal
Zeke Xie
37
11
0
11 Sep 2024
Adding Conditional Control to Diffusion Models with Reinforcement Learning
Adding Conditional Control to Diffusion Models with Reinforcement Learning
Yulai Zhao
Masatoshi Uehara
Gabriele Scalia
Tommaso Biancalani
Sergey Levine
Ehsan Hajiramezanali
Ehsan Hajiramezanali
AI4CE
52
3
0
17 Jun 2024
Margin-aware Preference Optimization for Aligning Diffusion Models
  without Reference
Margin-aware Preference Optimization for Aligning Diffusion Models without Reference
Jiwoo Hong
Sayak Paul
Noah Lee
Kashif Rasul
James Thorne
Jongheon Jeong
31
13
0
10 Jun 2024
Diffusion-RPO: Aligning Diffusion Models through Relative Preference
  Optimization
Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization
Yi Gu
Zhendong Wang
Yueqin Yin
Yujia Xie
Mingyuan Zhou
24
15
0
10 Jun 2024
RL for Consistency Models: Faster Reward Guided Text-to-Image Generation
RL for Consistency Models: Faster Reward Guided Text-to-Image Generation
Owen Oertell
Jonathan D. Chang
Yiyi Zhang
Kianté Brantley
Wen Sun
EGVM
36
4
0
25 Mar 2024
Reinforcement Learning from Diffusion Feedback: Q* for Image Search
Reinforcement Learning from Diffusion Feedback: Q* for Image Search
Aboli Rajan Marathe
VLM
37
0
0
27 Nov 2023
End-to-End Diffusion Latent Optimization Improves Classifier Guidance
End-to-End Diffusion Latent Optimization Improves Classifier Guidance
Bram Wallace
Akash Gokul
Stefano Ermon
Nikhil Naik
116
70
0
23 Mar 2023
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
303
11,881
0
04 Mar 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
253
4,764
0
24 Feb 2021
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
275
1,583
0
18 Sep 2019
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