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Text-to-image (T2I) models, such as Stable Diffusion, have exhibited remarkable performance in generating high-quality images from text descriptions in recent years.
Generative Adversarial Nets
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Auto-encoding Variational Bayes
Diederik P. Kingma and Max Welling · 2014
Earlier work this paper cites.
Attention is All you Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, and Oliver Wang · 2018
Earlier work this paper cites.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
Earlier work this paper cites.
Decoupled Weight Decay Regularization
Ilya Loshchilov and Frank Hutter · 2019
Earlier work this paper cites.
Pyramid Constrained Self-attention Network for Fast Video Salient Object Detection
Yuchao Gu, Lijuan Wang, Ziqin Wang, Yun Liu, Ming-Ming Cheng, and Shao-Ping Lu · 2020
Earlier work this paper cites.
Normalized and Geometry-aware Self-attention Network for Image Captioning
Longteng Guo, Jing Liu, Xinxin Zhu, Peng Yao, Shichen Lu, and Hanqing Lu · 2020
Earlier work this paper cites.
Denoising Diffusion Probabilistic Models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Earlier work this paper cites.
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal and Alexander Quinn Nichol · 2021
Earlier work this paper cites.
DiffWave: A Versatile Diffusion Model for Audio Synthesis
Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, and Bryan Catanzaro · 2021
Earlier work this paper cites.
U-Net Transformer: Self and Cross Attention for Medical Image Segmentation
Olivier Petit, Nicolas Thome, Clément Rambour, Loic Themyr, Toby Collins, and Luc Soler · 2021
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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, Gretchen Krueger, and Ilya Sutskever · 2021
Earlier work this paper cites.
Denoising Diffusion Implicit Models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2021
Earlier work this paper cites.
Imagen Video: High Definition Video Generation with Diffusion Models
Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey A. Gritsenko, Diederik P. Kingma, Ben Poole, Mohammad Norouzi, David J. Fleet, and Tim Salimans · 2022
Cited alongside, same era.
Classifier-free Diffusion Guidance
Jonathan Ho and Tim Salimans · 2022
Cited alongside, same era.
Denoising Diffusion Restoration Models
Bahjat Kawar, Michael Elad, Stefano Ermon, and Jiaming Song · 2022
Cited alongside, same era.
GLIDE: Towards Photorealistic Image Generation and Editing with Text-guided Diffusion Models
Alexander Quinn Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, and Mark Chen · 2022
Cited alongside, same era.
On Aliased Resizing and Surprising Subtleties in GAN Evaluation
Gaurav Parmar, Richard Zhang, and Jun-Yan Zhu · 2022
Cited alongside, same era.
Erasing Concepts from Diffusion Models
Rohit Gandikota, Joanna Materzynska, Jaden Fiotto-Kaufman, and David Bau · 2023
Later among the works it cites.
Evaluating the Robustness of Text-to-image Diffusion Models against Real-world Attacks
Hongcheng Gao, Hao Zhang, Yinpeng Dong, and Zhijie Deng · 2023
Later among the works it cites.
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models
Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, and Lingpeng Kong · 2023
Later among the works it cites.
AI Porn Is Easy to Make Now. For Women, That’s a Nightmare
Tatum Hunter · 2023
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BLIP-2: Bootstrapping Language-image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li, Dongxu Li, Silvio Savarese, and Steven C. H. Hoi · 2023
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Red-teaming the Stable Diffusion Safety Filter
Javier Rando, Daniel Paleka, David Lindner, Lennart Heim, and Florian Tramèr · 2022
Cited alongside, same era.
Tutorial: How to Remove the Safety Filter in 5 seconds
Reddit · 2022
Cited alongside, same era.
High-resolution Image Synthesis with Latent Diffusion Models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Cited alongside, same era.
LAION-5B: an Open Large-scale Dataset for Training Next Generation Image-text Models
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, Patrick Schramowski, Srivatsa Kundurthy, Katherine Crowson, Ludwig Schmidt, Robert Kaczmarczyk, and Jenia Jitsev · 2022
Cited alongside, same era.
Diffusers: State-of-the-art Diffusion Models
Patrick von Platen, Suraj Patil, Anton Lozhkov, Pedro Cuenca, Nathan Lambert, Kashif Rasul, Mishig Davaadorj, and Thomas Wolf · 2022
Cited alongside, same era.
Typology of Risks of Generative Text-to-image Models
Charlotte Bird, Eddie L. Ungless, and Atoosa Kasirzadeh · 2023
Cited alongside, same era.
SEGA: Instructing Text-to-image Models using Semantic Guidance
Manuel Brack, Felix Friedrich, Dominik Hintersdorf, Lukas Struppek, Patrick Schramowski, and Kristian Kersting · 2023
Cited alongside, same era.
Dan Milmo · 2023
Later among the works it cites.
Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-image Models
Yiting Qu, Xinyue Shen, Xinlei He, Michael Backes, Savvas Zannettou, and Yang Zhang · 2023
Later among the works it cites.
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models
Patrick Schramowski, Manuel Brack, Björn Deiseroth, and Kristian Kersting · 2023
Later among the works it cites.
Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?
Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia-You Chen, Bo Li, Pin-Yu Chen, Chia-Mu Yu, and Chun-Ying Huang · 2023
Later among the works it cites.
On the Proactive Generation of Unsafe Images From Text-To-image Models Using Benign Prompts
Yixin Wu, Ning Yu, Michael Backes, Yun Shen, and Yang Zhang · 2023
Later among the works it cites.
Circumventing Concept Erasure Methods For Text-to-image Generative Models
Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, and William Chan · 2024
Closest in time.
Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models
Chao Gong, Kai Chen, Zhipeng Wei, Jingjing Chen, and Yu-Gang Jiang · 2024
Closest in time.
SneakyPrompt: Jailbreaking Text-to-image Generative Models
Yuchen Yang, Bo Hui, Haolin Yuan, Neil Gong, and Yinzhi Cao · 2024
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