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Recent advancement in text-to-image models (e.g., Stable Diffusion) and corresponding personalized technologies (e.g., DreamBooth and LoRA) enables individuals to generate high-quality and imaginative images.
Adam: A Method for Stochastic Optimization
Kingma, D. P.; and Ba, J. 2015 · 2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
Ronneberger, O.; Fischer, P.; and Brox, T. 2015 · 2015
Earlier work this paper cites.
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Radford, A.; Metz, L.; and Chintala, S. 2016 · 2016
Earlier work this paper cites.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
Heusel, M.; Ramsauer, H.; Unterthiner, T.; Nessler, B.; and Hochreiter, S. 2017 · 2017
Earlier work this paper cites.
Conditional image synthesis with auxiliary classifier gans
Odena, A.; Olah, C.; and Shlens, J. 2017 · 2017
Earlier work this paper cites.
Neural discrete representation learning
Van Den Oord, A.; Vinyals, O.; et al. 2017 · 2017
Earlier work this paper cites.
Generative adversarial networks
Goodfellow, I.; Pouget-Abadie, J.; Mirza, M.; Xu, B.; Warde-Farley, D.; Ozair, S.; Courville, A.; and Bengio, Y. 2020 · 2020
Earlier work this paper cites.
Denoising diffusion probabilistic models
Ho, J.; Jain, A.; and Abbeel, P. 2020 · 2020
Earlier work this paper cites.
Denoising Diffusion Implicit Models
Song, J.; Meng, C.; and Ermon, S. 2020 · 2020
Earlier work this paper cites.
Diffusion models beat gans on image synthesis
Dhariwal, P.; and Nichol, A. 2021 · 2021
Earlier work this paper cites.
Taming transformers for high-resolution image synthesis
Esser, P.; Rombach, R.; and Ommer, B. 2021 · 2021
Earlier work this paper cites.
CLIPScore: A Reference-free Evaluation Metric for Image Captioning
Hessel, J.; Holtzman, A.; Forbes, M.; Le Bras, R.; and Choi, Y. 2021 · 2021
Earlier work this paper cites.
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
Meng, C.; He, Y.; Song, Y.; Song, J.; Wu, J.; Zhu, J.-Y.; and Ermon, S. 2021 · 2021
Earlier work this paper cites.
Laion-400m: Open dataset of clip-filtered 400 million image-text pairs
Schuhmann, C.; Vencu, R.; Beaumont, R.; Kaczmarczyk, R.; Mullis, C.; Katta, A.; Coombes, T.; Jitsev, J.; and Komatsuzaki, A. 2021 · 2021
Cited alongside, same era.
Score-Based Generative Modeling through Stochastic Differential Equations
Song, Y.; Sohl-Dickstein, J.; Kingma, D. P.; Kumar, A.; Ermon, S.; and Poole, B. 2021 · 2021
Cited alongside, same era.
LoRA: Low-Rank Adaptation of Large Language Models
Hu, E. J.; Shen, Y.; Wallis, P.; Allen-Zhu, Z.; Li, Y.; Wang, S.; Wang, L.; and Chen, W. 2022 · 2022
Cited alongside, same era.
Elucidating the design space of diffusion-based generative models
Karras, T.; Aittala, M.; Aila, T.; and Laine, S. 2022 · 2022
Cited alongside, same era.
Autoregressive image generation using residual quantization
Lee, D.; Kim, C.; Kim, S.; Cho, M.; and Han, W.-S. 2022 · 2022
Cited alongside, same era.
Scalable diffusion models with transformers
Peebles, W.; and Xie, S. 2023 · 2023
Later among the works it cites.
Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Ruiz, N.; Li, Y.; Jampani, V.; Pritch, Y.; Rubinstein, M.; and Aberman, K. 2023 · 2023
Later among the works it cites.
Difffit: Unlocking transferability of large diffusion models via simple parameter-efficient fine-tuning
Xie, E.; Yao, L.; Shi, H.; Liu, Z.; Zhou, D.; Liu, Z.; Li, J.; and Li, Z. 2023 · 2023
Later among the works it cites.
Ip-adapter: Text compatible image prompt adapter for text-to-image diffusion models
Ye, H.; Zhang, J.; Liu, S.; Han, X.; and Yang, W. 2023 · 2023
Later among the works it cites.
Adding conditional control to text-to-image diffusion models
Zhang, L.; Rao, A.; and Agrawala, M. 2023 · 2023
Later among the works it cites.
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Repaint: Inpainting using denoising diffusion probabilistic models
Lugmayr, A.; Danelljan, M.; Romero, A.; Yu, F.; Timofte, R.; and Van Gool, L. 2022 · 2022
Cited alongside, same era.
Hierarchical text-conditional image generation with clip latents
Ramesh, A.; Dhariwal, P.; Nichol, A.; Chu, C.; and Chen, M. 2022 · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Rombach, R.; Blattmann, A.; Lorenz, D.; Esser, P.; and Ommer, B. 2022 · 2022
Cited alongside, same era.
Laion-5b: An open large-scale dataset for training next generation image-text models
Schuhmann, C.; Beaumont, R.; Vencu, R.; Gordon, C.; Wightman, R.; Cherti, M.; Coombes, T.; Katta, A.; Mullis, C.; Wortsman, M.; et al. 2022 · 2022
Cited alongside, same era.
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
Bar-Tal, O.; Yariv, L.; Lipman, Y.; and Dekel, T. 2023 · 2023
Cited alongside, same era.
DDGR: continual learning with deep diffusion-based generative replay
Gao, R.; and Liu, W. 2023 · 2023
Cited alongside, same era.
Mixture of diffusers for scene composition and high resolution image generation
Jiménez, Á. B. 2023 · 2023
Cited alongside, same era.
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Chen, Y.; Qian, S.; Tang, H.; Lai, X.; Liu, Z.; Han, S.; and Jia, J. 2024 · 2024
Closest in time.
ElasticDiffusion: Training-free Arbitrary Size Image Generation through Global-Local Content Separation
Haji-Ali, M.; Balakrishnan, G.; and Ordonez, V. 2024 · 2024
Closest in time.
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Podell, D.; English, Z.; Lacey, K.; Blattmann, A.; Dockhorn, T.; Müller, J.; Penna, J.; and Rombach, R. 2024 · 2024
Closest in time.
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA
Smith, J. S.; Hsu, Y.-C.; Zhang, L.; Hua, T.; Kira, Z.; Shen, Y.; and Jin, H. 2024 · 2024
Closest in time.
Unipc: A unified predictor-corrector framework for fast sampling of diffusion models
Zhao, W.; Bai, L.; Rao, Y.; Zhou, J.; and Lu, J. 2024 · 2024
Closest in time.
HiDiffusion: Unlocking Higher-Resolution Creativity and Efficiency in Pretrained Diffusion Models
Zhang, S.; Chen, Z.; Zhao, Z.; Chen, Y.; Tang, Y.; and Liang, J. 2025 · 2025
Closest in time.
Any-size-diffusion: Toward efficient text-driven synthesis for any-size hd images
Zheng, Q.; Guo, Y.; Deng, J.; Han, J.; Li, Y.; Xu, S.; and Xu, H. 2024 · 2048
Closest in time.