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Text-to-image (T2I) models achieve high-fidelity generation through extensive training on large datasets.
Rank analysis of incomplete block designs: I. the method of paired comparisons
R. A. Bradley and M. E. Terry · 1952
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Deep learning face attributes in the wild
Z. Liu, P. Luo, X. Wang, and X. Tang · 2015
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Deep reinforcement learning from human preferences
P. F. Christiano, J. Leike, T. Brown, M. Martic, S. Legg, and D. Amodei · 2017
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Proximal policy optimization algorithms
J. Schulman, F. Wolski, P. Dhariwal, A. Radford, and O. Klimov · 2017
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Fair generative modeling via weak supervision
K. Choi, A. Grover, T. Singh, R. Shu, and S. Ermon · 2020
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Denoising diffusion probabilistic models
J. Ho, A. Jain, and P. Abbeel · 2020
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Lightface: A hybrid deep face recognition framework
S. I. Serengil and A. Ozpinar · 2020
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Improving the fairness of deep generative models without retraining
S. Tan, Y. Shen, and B. Zhou · 2020
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Diffusion models beat gans on image synthesis
P. Dhariwal and A. Nichol · 2021
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Learning transferable visual models from natural language supervision
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Zero-shot text-to-image generation
A. Ramesh, M. Pavlov, G. Goh, S. Gray, C. Voss, A. Radford, M. Chen, and I. Sutskever · 2021
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Hyperextended lightface: A facial attribute analysis framework
S. I. Serengil and A. Ozpinar · 2021
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Classifier-free diffusion guidance
J. Ho and T. Salimans · 2022
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Refining generative process with discriminator guidance in score-based diffusion models
D. Kim, Y. Kim, S. J. Kwon, W. Kang, and I.-C. Moon · 2022
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Training language models to follow instructions with human feedback
L. Ouyang, J. Wu, X. Jiang, D. Almeida, C. Wainwright, P. Mishkin, C. Zhang, S. Agarwal, K. Slama, A. Ray, et al · 2022
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Hierarchical text-conditional image generation with clip latents
A. Ramesh, P. Dhariwal, A. Nichol, C. Chu, and M. Chen · 2022
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High-resolution image synthesis with latent diffusion models
R. Rombach, A. Blattmann, D. Lorenz, P. Esser, and B. Ommer · 2022
A fair generative model using lecam divergence
S. Um and C. Suh · 2023
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Diffusion model alignment using direct preference optimization
B. Wallace, M. Dang, R. Rafailov, L. Zhou, A. Lou, S. Purushwalkam, S. Ermon, C. Xiong, S. Joty, and N. Naik · 2023
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X. Wu, Y. Hao, K. Sun, Y. Chen, F. Zhu, R. Zhao, and H. Li · 2023
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Using human feedback to fine-tune diffusion models without any reward model
K. Yang, J. Tao, J. Lyu, C. Ge, J. Chen, Q. Li, W. Shen, X. Zhu, and X. Li · 2023
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Identifying race and gender bias in stable diffusion ai image generation
A. Chauhan, T. Anand, T. Jauhari, A. Shah, R. Singh, A. Rajaram, and R. Vanga · 2024
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Safe rlhf: Safe reinforcement learning from human feedback
J. Dai, X. Pan, R. Sun, J. Ji, X. Xu, M. Liu, Y. Wang, and Y. Yang · 2023
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Dall·e 2
OpenAI · 2023
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Sdxl: Improving latent diffusion models for high-resolution image synthesis
D. Podell, Z. English, K. Lacey, A. Blattmann, T. Dockhorn, J. Müller, J. Penna, and R. Rombach · 2023
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Cads: Unleashing the diversity of diffusion models through condition-annealed sampling
S. Sadat, J. Buhmann, D. Bradely, O. Hilliges, and R. M. Weber · 2023
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An evaluation of sql and nosql databases for facial recognition pipelines, 2023
S. I. Serengil and A. Ozpinar · 2023
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Stable diffusion public release
Stability-AI · 2023
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Fair generative models via transfer learning
C. T. Teo, M. Abdollahzadeh, and N.-M. Cheung · 2023
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Diffusers: State-of-the-art diffusion models for image generation in pytorch
H. Face · 2024
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Pick-a-pic: An open dataset of user preferences for text-to-image generation
Y. Kirstain, A. Polyak, U. Singer, S. Matiana, J. Penna, and O. Levy · 2024
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Stable bias: Evaluating societal representations in diffusion models
S. Luccioni, C. Akiki, M. Mitchell, and Y. Jernite · 2024
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Direct preference optimization: Your language model is secretly a reward model
R. Rafailov, A. Sharma, E. Mitchell, C. D. Manning, S. Ermon, and C. Finn · 2024
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Laion-aesthetics
C. Schuhmann · 2024
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A benchmark of facial recognition pipelines and co-usability performances of modules
S. Serengil and A. Ozpinar · 2024
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Shieldlm: Empowering llms as aligned, customizable and explainable safety detectors
Z. Zhang, Y. Lu, J. Ma, D. Zhang, R. Li, P. Ke, H. Sun, L. Sha, Z. Sui, H. Wang, et al · 2024
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