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Recent generative models have demonstrated impressive capabilities in generating realistic and visually pleasing images grounded on textual prompts.
Evaluating automated and manual acquisition of anaphora resolution strategies
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Bleu: a method for automatic evaluation of machine translation
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Denoising diffusion implicit models
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Cider: Consensus-based image description evaluation
Ramakrishna Vedantam, C Lawrence Zitnick, and Devi Parikh · 2015
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Visual reference resolution using attention memory for visual dialog
Paul Hongsuck Seo, Andreas Lehrmann, Bohyung Han, and Leonid Sigal · 2017
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Attention is all you need
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Imagine this! scripts to compositions to videos
Tanmay Gupta, Dustin Schwenk, Ali Farhadi, Derek Hoiem, and Aniruddha Kembhavi · 2018
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Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al · 2018
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Storygan: A sequential conditional gan for story visualization
Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David Carlson, and Jianfeng Gao · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
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Pororogan: An improved story visualization model on pororo-sv dataset
Gangyan Zeng, Zhaohui Li, and Yuan Zhang · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu · 2020
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Cogview: Mastering text-to-image generation via transformers
Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, et al · 2021
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Integrating visuospatial, linguistic and commonsense structure into story visualization
Adyasha Maharana and Mohit Bansal · 2021
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Improving generation and evaluation of visual stories via semantic consistency
Adyasha Maharana, Darryl Hannan, and Mohit Bansal · 2021
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Zero-shot text-to-image generation
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever · 2021
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Multimodal few-shot learning with frozen language models
Maria Tsimpoukelli, Jacob L Menick, Serkan Cabi, SM Eslami, Oriol Vinyals, and Felix Hill · 2021
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Flamingo: a visual language model for few-shot learning
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, et al · 2022
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Planting a seed of vision in large language model
Yuying Ge, Yixiao Ge, Ziyun Zeng, Xintao Wang, and Ying Shan · 2023
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Language is not all you need: Aligning perception with language models
Shaohan Huang, Li Dong, Wenhui Wang, Yaru Hao, Saksham Singhal, Shuming Ma, Tengchao Lv, Lei Cui, Owais Khan Mohammed, Qiang Liu, et al · 2023
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Unified multi-modal latent diffusion for joint subject and text conditional image generation
Yiyang Ma, Huan Yang, Wenjing Wang, Jianlong Fu, and Jiaying Liu · 2023
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Dall-e 3
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Vqgan-clip: Open domain image generation and editing with natural language guidance
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Make-a-scene: Scene-based text-to-image generation with human priors
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Prompt-to-prompt image editing with cross attention control
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Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans · 2022
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Storydall-e: Adapting pretrained text-to-image transformers for story continuation
Adyasha Maharana, Darryl Hannan, and Mohit Bansal · 2022
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Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
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High-resolution image synthesis with latent diffusion models
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OpenAI · 2023
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Zero-shot image-to-image translation
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Make-a-story: Visual memory conditioned consistent story generation
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Llama 2: Open foundation and fine-tuned chat models
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Visionllm: Large language model is also an open-ended decoder for vision-centric tasks
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Elite: Encoding visual concepts into textual embeddings for customized text-to-image generation
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Next-gpt: Any-to-any multimodal llm
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