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2305.13301
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Training Diffusion Models with Reinforcement Learning
International Conference on Learning Representations (ICLR), 2023
22 May 2023
Kevin Black
Michael Janner
Yilun Du
Ilya Kostrikov
Sergey Levine
EGVM
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HuggingFace (4 upvotes)
Papers citing
"Training Diffusion Models with Reinforcement Learning"
18 / 268 papers shown
An Invitation to Deep Reinforcement Learning
Bernhard Jaeger
Andreas Geiger
OffRL
OOD
488
9
0
13 Dec 2023
RL Dreams: Policy Gradient Optimization for Score Distillation based 3D Generation
Aradhya Neeraj Mathur
Phu-Cuong Pham
Aniket Bera
Ojaswa Sharma
189
0
0
08 Dec 2023
LVDiffusor: Distilling Functional Rearrangement Priors from Large Models into Diffusor
IEEE Robotics and Automation Letters (RA-L), 2023
Yiming Zeng
Mingdong Wu
Long Yang
Jiyao Zhang
Hao Ding
Hui Cheng
Hao Dong
DiffM
351
12
0
03 Dec 2023
OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation
Computer Vision and Pattern Recognition (CVPR), 2023
Qidong Huang
Xiao-wen Dong
Pan Zhang
Sijin Yu
Conghui He
Yuan Liu
Dahua Lin
Weiming Zhang
Neng H. Yu
MLLM
463
360
0
29 Nov 2023
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
Computer Vision and Pattern Recognition (CVPR), 2023
Kai Yang
Jian Tao
Jiafei Lyu
Chunjiang Ge
Jiaxin Chen
Qimai Li
Weihan Shen
Xiaolong Zhu
Xiu Li
EGVM
489
185
0
22 Nov 2023
Video Language Planning
International Conference on Learning Representations (ICLR), 2023
Yilun Du
Mengjiao Yang
Peter R. Florence
Fei Xia
Ayzaan Wahid
...
Pieter Abbeel
Josh Tenenbaum
L. Kaelbling
Andy Zeng
Jonathan Tompson
PINN
LM&Ro
364
142
0
16 Oct 2023
EasyPhoto: Your Smart AI Photo Generator
Ziheng Wu
Jiaqi Xu
Xinyi Zou
Kunzhe Huang
Xing Shi
Jun Huang
98
4
0
07 Oct 2023
Aligning Text-to-Image Diffusion Models with Reward Backpropagation
Mihir Prabhudesai
Anirudh Goyal
Deepak Pathak
Katerina Fragkiadaki
468
204
0
05 Oct 2023
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
International Conference on Learning Representations (ICLR), 2023
Amita Gajewar
Paul Vicol
G. Bansal
David J Fleet
267
299
0
29 Sep 2023
Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation
Computer Vision and Pattern Recognition (CVPR), 2023
Hyunwoo Ryu
Jiwoo Kim
Hyun Seok Ahn
Junwoo Chang
Joohwan Seo
Taehan Kim
Yubin Kim
Chaewon Hwang
Jongeun Choi
R. Horowitz
DiffM
430
59
0
06 Sep 2023
Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations
European Conference on Computer Vision (ECCV), 2023
Kilichbek Haydarov
Xiaoqian Shen
Avinash Madasu
Mahmoud Salem
Jia Li
Gamaleldin F. Elsayed
Mohamed Elhoseiny
263
7
0
30 Aug 2023
Reinforcement Learning for Generative AI: A Survey
Yuanjiang Cao
Quan.Z Sheng
Julian McAuley
Lina Yao
SyDa
537
24
0
28 Aug 2023
Manipulating Embeddings of Stable Diffusion Prompts
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Niklas Deckers
Julia Peters
Martin Potthast
DiffM
326
13
0
23 Aug 2023
On the Design Fundamentals of Diffusion Models: A Survey
Pattern Recognition (Pattern Recogn.), 2023
Ziyi Chang
George Alex Koulieris
Hyung Jin Chang
Hubert P. H. Shum
DiffM
625
79
0
07 Jun 2023
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Ying Fan
Olivia Watkins
Yuqing Du
Hao Liu
Moonkyung Ryu
Craig Boutilier
Pieter Abbeel
Mohammad Ghavamzadeh
Kangwook Lee
Kimin Lee
409
285
0
25 May 2023
Learning to Evaluate the Artness of AI-generated Images
IEEE transactions on multimedia (IEEE TMM), 2023
Junyu Chen
Jie An
Hanjia Lyu
Christopher Kanan
Jiebo Luo
EGVM
234
23
0
08 May 2023
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment
Hanze Dong
Wei Xiong
Deepanshu Goyal
Yihan Zhang
Winnie Chow
Boyao Wang
Shizhe Diao
Jipeng Zhang
Kashun Shum
Tong Zhang
ALM
458
636
0
13 Apr 2023
Creativity and Machine Learning: A Survey
ACM Computing Surveys (CSUR), 2021
Giorgio Franceschelli
Mirco Musolesi
VLM
AI4CE
532
55
0
06 Apr 2021
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