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Today, the family of latent diffusion models (LDMs) has gained prominence for its high quality outputs and scalability.
Yeo-johnson power transformations
S. Weisberg · 2001
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Microsoft COCO: common objects in context
T. Lin, M. Maire, S. J. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
M. Heusel, H. Ramsauer, T. Unterthiner, B. Nessler, and S. Hochreiter · 2017
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The unreasonable effectiveness of deep features as a perceptual metric
R. Zhang, P. Isola, A. A. Efros, E. Shechtman, and O. Wang · 2018
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Hidden: Hiding data with deep networks
J. Zhu, R. Kaplan, J. Johnson, and L. Fei-Fei · 2018
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Denoising diffusion probabilistic models
J. Ho, A. Jain, and P. Abbeel · 2020
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Stegastamp: Invisible hyperlinks in physical photographs
M. Tancik, B. Mildenhall, and R. Ng · 2020
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Improved denoising diffusion probabilistic models
A. Q. Nichol and P. Dhariwal · 2021
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A generalized deep neural network approach for digital watermarking analysis
W. Ding, Y. Ming, Z. Cao, and C. Lin · 2022
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Watermarking images in self-supervised latent spaces
P. Fernandez, A. Sablayrolles, T. Furon, H. Jégou, and M. Douze · 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
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Photorealistic text-to-image diffusion models with deep language understanding
C. Saharia, W. Chan, S. Saxena, L. Li, J. Whang, E. L. Denton, S. K. S. Ghasemipour, R. G. Lopes, B. K. Ayan, T. Salimans, J. Ho, D. J. Fleet, and M. Norouzi · 2022
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LAION-5B: an open large-scale dataset for training next generation image-text models
C. Schuhmann, R. Beaumont, R. Vencu, C. Gordon, R. Wightman, M. Cherti, T. Coombes, A. Katta, C. Mullis, M. Wortsman, P. Schramowski, S. Kundurthy, K. Crowson, L. Schmidt, R. Kaczmarczyk, and J. Jitsev · 2022
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Fengshenbang 1.0: Being the foundation of chinese cognitive intelligence
J. Zhang, R. Gan, J. Wang, Y. Zhang, L. Zhang, P. Yang, X. Gao, Z. Wu, X. Dong, J. He, J. Zhuo, Q. Yang, Y. Huang, X. Li, Y. Wu, J. Lu, X. Zhu, W. Chen, T. Han, K. Pan, R. Wang, H. Wang, X. Wu, Z. Zeng, and C. Chen · 2022
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Advdiffuser: Natural adversarial example synthesis with diffusion models
X. Chen, X. Gao, J. Zhao, K. Ye, and C. Xu · 2023
Deepfakes, misinformation, and disinformation in the era of frontier ai, generative ai, and large ai models
M. R. Shoaib, Z. Wang, M. T. Ahvanooey, and J. Zhao · 2023
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Research on multiparty participation collaborative supervision strategy of aigc
N. Su · 2023
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Rethinking neural style transfer: Generating personalized and watermarked stylized images
Q. Wang, S. Li, X. Zhang, and G. Feng · 2023
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Flexible and secure watermarking for latent diffusion model
C. Xiong, C. Qin, G. Feng, and X. Zhang · 2023
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Video-rate hyperspectral camera based on a cmos-compatible random array of fabry–pérot filters
M. Yako, Y. Yamaoka, T. Kiyohara, C. Hosokawa, A. Noda, K. Tack, N. Spooren, T. Hirasawa, and A. Ishikawa · 2023
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Cited alongside, same era.
Hey that’s mine imperceptible watermarks are preserved in diffusion generated outputs
L. Ditria and T. Drummond · 2023
Cited alongside, same era.
De-end: Decoder-driven watermarking network
H. Fang, Z. Jia, Y. Qiu, J. Zhang, W. Zhang, and E. Chang · 2023
Cited alongside, same era.
The stable signature: Rooting watermarks in latent diffusion models
P. Fernandez, G. Couairon, H. Jégou, M. Douze, and T. Furon · 2023
Cited alongside, same era.
Improved classification of blurred images with deep-learning networks using lucy-richardson-rosen algorithm
A. Jayavel, S. Gopinath, P. Periyasamy Angamuthu, F. G. Arockiaraj, A. Bleahu, A. P. I. Xavier, D. Smith, M. Han, I. Slobozhan, S. H. Ng, et al · 2023
Cited alongside, same era.
T2IW: joint text to image & watermark generation
A. Liu, G. Zhang, Y. Su, N. Xu, Y. Zhang, and L. Wang · 2023
Cited alongside, same era.
Scalable diffusion models with transformers
W. Peebles and S. Xie · 2023
Cited alongside, same era.
Unicontrol: A unified diffusion model for controllable visual generation in the wild
C. Qin, S. Zhang, N. Yu, Y. Feng, X. Yang, Y. Zhou, H. Wang, J. C. Niebles, C. Xiong, S. Savarese, S. Ermon, Y. Fu, and R. Xu · 2023
Cited alongside, same era.
Y. Zhao, B. Liu, M. Ding, B. Liu, T. Zhu, and X. Yu · 2023
Later among the works it cites.
WOUAF: weight modulation for user attribution and fingerprinting in text-to-image diffusion models
C. Kim, K. Min, M. Patel, S. Cheng, and Y. Yang · 2024
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Global digital compact: A mechanism for the governance of online discriminatory and misleading content generation
Z. Li, W. Zhang, H. Zhang, R. Gao, and X. Fang · 2024
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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 · 2024
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Tree-rings watermarks: Invisible fingerprints for diffusion images
Y. Wen, J. Kirchenbauer, J. Geiping, and T. Goldstein · 2024
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Sgdm: An adaptive style-guided diffusion model for personalized text to image generation
Y. Xu, X. Xu, H. Gao, and F. Xiao · 2024
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Gaussian shading: Provable performance-lossless image watermarking for diffusion models
Z. Yang, K. Zeng, K. Chen, H. Fang, W. Zhang, and N. Yu · 2024
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Attack-resilient image watermarking using stable diffusion
L. Zhang, X. Liu, A. V. i Martin, C. X. Bearfield, Y. Brun, and H. Guan · 2024
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