Fetching the paper…
Reading the bibliography…
Contemporary image generation systems have achieved high fidelity and superior aesthetic quality beyond basic text-image alignment.
Information technology – digital compression and coding of continuous-tone still images – requirements and guidelines
ISO/IEC · 1992
Earlier work this paper cites.
Improved techniques for training gans, 2016
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
Earlier work this paper cites.
Gans trained by a two time-scale update rule converge to a local nash equilibrium, 2018
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2018
Earlier work this paper cites.
Attngan: Fine-grained text to image generation with attentional generative adversarial networks
Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, and Xiaodong He · 2018
Earlier work this paper cites.
Decoupled weight decay regularization, 2019
Ilya Loshchilov and Frank Hutter · 2019
Earlier work this paper cites.
DM-GAN: dynamic memory generative adversarial networks for text-to-image synthesis
Minfeng Zhu, Pingbo Pan, Wei Chen, and Yi Yang · 2019
Earlier work this paper cites.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Earlier work this paper cites.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Earlier work this paper cites.
Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2021
Earlier work this paper cites.
Cogview2: Faster and better text-to-image generation via hierarchical transformers, 2022
Ming Ding, Wendi Zheng, Wenyi Hong, and Jie Tang · 2022
Earlier work this paper cites.
Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation, 2022
Junnan Li, Dongxu Li, Caiming Xiong, and Steven Hoi · 2022
Earlier work this paper cites.
Ai-powered image generation
Midjourney · 2022
Earlier work this paper cites.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Earlier work this paper cites.
Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman · 2022
Earlier work this paper cites.
Scaling autoregressive models for content-rich text-to-image generation
Jiahui Yu, Yuanzhong Xu, Jing Yu Koh, Thang Luong, Gunjan Baid, Zirui Wang, Vijay Vasudevan, Alexander Ku, Yinfei Yang, Burcu Karagol Ayan, Ben Hutchinson, Wei Han, Zarana Parekh, Xin Li, Han Zhang, Jason Baldridge, and Yonghui Wu · 2022
Cited alongside, same era.
Reproducible scaling laws for contrastive language-image learning
Mehdi Cherti, Romain Beaumont, Ross Wightman, Mitchell Wortsman, Gabriel Ilharco, Cade Gordon, Christoph Schuhmann, Ludwig Schmidt, and Jenia Jitsev · 2023
Cited alongside, same era.
Geneval: An object-focused framework for evaluating text-to-image alignment
Dhruba Ghosh, Hanna Hajishirzi, and Ludwig Schmidt · 2023
Cited alongside, same era.
Optimizing prompts for text-to-image generation
Yaru Hao, Zewen Chi, Li Dong, and Furu Wei · 2023
Cited alongside, same era.
Pick-a-pic: An open dataset of user preferences for text-to-image generation, 2023
Yuval Kirstain, Adam Polyak, Uriel Singer, Shahbuland Matiana, Joe Penna, and Omer Levy · 2023
Directly fine-tuning diffusion models on differentiable rewards, 2024
Kevin Clark, Paul Vicol, Kevin Swersky, and David J Fleet · 2024
Later among the works it cites.
Scaling rectified flow transformers for high-resolution image synthesis
Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari, Jonas Müller, Harry Saini, Yam Levi, Dominik Lorenz, Axel Sauer, Frederic Boesel, et al · 2024
Later among the works it cites.
Star: Scale-wise text-conditioned autoregressive image generation
Xiaoxiao Ma, Mohan Zhou, Tao Liang, Yalong Bai, Tiejun Zhao, Biye Li, Huaian Chen, and Yi Jin · 2024
Later among the works it cites.
Dynamic prompt optimizing for text-to-image generation
Wenyi Mo, Tianyu Zhang, Yalong Bai, Bing Su, Ji-Rong Wen, and Qing Yang · 2024
Later among the works it cites.
SDXL: Improving latent diffusion models for high-resolution image synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, and Robin Rombach · 2024
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Dall-e 3
OpenAI · 2023
Cited alongside, same era.
Sdxl: Improving latent diffusion models for high-resolution image synthesis, 2023
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, and Robin Rombach · 2023
Cited alongside, same era.
Controlling text-to-image diffusion by orthogonal finetuning
Zeju Qiu, Weiyang Liu, Haiwen Feng, Yuxuan Xue, Yao Feng, Zhen Liu, Dan Zhang, Adrian Weller, and Bernhard Schölkopf · 2023
Cited alongside, same era.
Diffusion model alignment using direct preference optimization
Bram Wallace, Meihua Dang, Rafael Rafailov, Linqi Zhou, Aaron Lou, Senthil Purushwalkam, Stefano Ermon, Caiming Xiong, Shafiq R. Joty, and Nikhil Naik · 2023
Cited alongside, same era.
Diffusiondb: A large-scale prompt gallery dataset for text-to-image generative models, 2023
Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, and Duen Horng Chau · 2023
Cited alongside, same era.
Imagereward: Learning and evaluating human preferences for text-to-image generation, 2023
Jiazheng Xu, Xiao Liu, Yuchen Wu, Yuxuan Tong, Qinkai Li, Ming Ding, Jie Tang, and Yuxiao Dong · 2023
Cited alongside, same era.
Synthesizing long-term human motions with diffusion models via coherent sampling
Zhao Yang, Bing Su, and Ji-Rong Wen · 2023
Cited alongside, same era.
Later among the works it cites.
Learning invariant causal mechanism from vision-language models
Zeen Song, Siyu Zhao, Xingyu Zhang, Jiangmeng Li, Changwen Zheng, and Wenwen Qiang · 2024
Later among the works it cites.
Instantstyle: Free lunch towards style-preserving in text-to-image generation
Haofan Wang, Qixun Wang, Xu Bai, Zekui Qin, and Anthony Chen · 2024
Later among the works it cites.
Aligning few-step diffusion models with dense reward difference learning
Ziyi Zhang, Li Shen, Sen Zhang, Deheng Ye, Yong Luo, Miaojing Shi, Bo Du, and Dacheng Tao · 2024
Later among the works it cites.
Uniform attention maps: Boosting image fidelity in reconstruction and editing
Wenyi Mo, Tianyu Zhang, Yalong Bai, Bing Su, and Ji-Rong Wen · 2025
Closest in time.
On the out-of-distribution generalization of self-supervised learning
Wenwen Qiang, Jingyao Wang, Zeen Song, Jiangmeng Li, and Changwen Zheng · 2025
Closest in time.
Guiwei Zhang, Tianyu Zhang, Mohan Zhou, Yalong Bai, and Biye Li · 2025
Closest in time.
Llada 1.5: Variance-reduced preference optimization for large language diffusion models, 2025
Fengqi Zhu, Rongzhen Wang, Shen Nie, Xiaolu Zhang, Chunwei Wu, Jun Hu, Jun Zhou, Jianfei Chen, Yankai Lin, Ji-Rong Wen, and Chongxuan Li · 2025
Closest in time.
Human preference score: Better aligning text-to-image models with human preference
Xiaoshi Wu, Keqiang Sun, Feng Zhu, Rui Zhao, and Hongsheng Li · 2096
Closest in time.