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Towards Reliable Advertising Image Generation Using Human Feedback

Towards Reliable Advertising Image Generation Using Human Feedback

1 August 2024
Thorben Werner
Wei Feng
Haohan Wang
Yaoyu Li
Jingsen Wang
Jian Li
Zheng Zhang
Jingjing Lv
Maximilian Stubbemann
Junsheng Jin
Lars Schmidt-Thieme
Zhangang Lin
Jingping Shao
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Papers citing "Towards Reliable Advertising Image Generation Using Human Feedback"

27 / 27 papers shown
Title
PAID: A Framework of Product-Centric Advertising Image Design
PAID: A Framework of Product-Centric Advertising Image Design
Hongyu Chen
Min Zhou
Jing Jiang
Jiale Chen
Yang Lu
Bo Xiao
T. Ge
Bo Zheng
DiffM
VLM
75
0
0
24 Jan 2025
Generate E-commerce Product Background by Integrating Category Commonality and Personalized Style
Generate E-commerce Product Background by Integrating Category Commonality and Personalized Style
Haohan Wang
Wei Feng
Yang Lu
Yaoyu Li
Zheng Zhang
Jingjing Lv
Xin Zhu
Jun-Jun Shen
DiffM
128
5
0
20 Jan 2025
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
44
103
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
102
262
0
21 Nov 2023
Aligning Text-to-Image Diffusion Models with Reward Backpropagation
Aligning Text-to-Image Diffusion Models with Reward Backpropagation
Mihir Prabhudesai
Anirudh Goyal
Deepak Pathak
Katerina Fragkiadaki
83
127
0
05 Oct 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
Optimizing DDPM Sampling with Shortcut Fine-Tuning
Optimizing DDPM Sampling with Shortcut Fine-Tuning
Ying Fan
Kangwook Lee
47
58
0
31 Jan 2023
Investigating Prompt Engineering in Diffusion Models
Investigating Prompt Engineering in Diffusion Models
Sam Witteveen
Martin Andrews
32
60
0
21 Nov 2022
Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
150
3,858
0
26 Jul 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Andreas Lugmayr
Martin Danelljan
Andrés Romero
Feng Yu
Radu Timofte
Luc Van Gool
DiffM
328
1,396
0
24 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
353
15,373
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
288
3,582
0
20 Dec 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRL
AI4TS
AI4CE
ALM
AIMat
371
10,273
0
17 Jun 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
178
7,765
0
11 May 2021
Vision Transformers for Dense Prediction
Vision Transformers for Dense Prediction
René Ranftl
Alexey Bochkovskiy
V. Koltun
ViT
MDE
125
1,717
0
24 Mar 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
292
6,409
0
26 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
532
40,739
0
22 Oct 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
213
7,294
0
06 Oct 2020
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object
  Detection
U2^22-Net: Going Deeper with Nested U-Structure for Salient Object Detection
Xuebin Qin
Zichen Zhang
Chenyang Huang
Masood Dehghan
Osmar R. Zaiane
Martin Jägersand
57
1,646
0
18 May 2020
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
452
1,717
0
18 Sep 2019
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
368
3,602
0
20 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
520
24,351
0
26 Jul 2019
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
444
18,931
0
20 Jul 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
483
10,305
0
16 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
517
5,893
0
08 Jul 2016
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
366
9,467
0
28 May 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.6K
76,917
0
18 May 2015
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