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Enabling generative models to decompose visual concepts from a single image is a complex and challenging problem.
Sense and reference
Gottlob Frege · 1948
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Natural language processing with Python: analyzing text with the natural language toolkit
Steven Bird, Ewan Klein, and Edward Loper · 2009
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Describing objects by their attributes
Ali Farhadi, Ian Endres, Derek Hoiem, and David Forsyth · 2009
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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From red wine to red tomato: Composition with context
Ishan Misra, Abhinav Gupta, and Martial Hebert · 2017
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Attributes as operators: factorizing unseen attribute-object compositions
Tushar Nagarajan and Kristen Grauman · 2018
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Attngan: Fine-grained text to image generation with attentional generative adversarial networks
Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, and Xiaodong He · 2018
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Task-driven modular networks for zero-shot compositional learning
Senthil Purushwalkam, Maximilian Nickel, Abhinav Gupta, and Marc’Aurelio Ranzato · 2019
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Adversarial fine-grained composition learning for unseen attribute-object recognition
Kun Wei, Muli Yang, Hao Wang, Cheng Deng, and Xianglong Liu · 2019
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Symmetry and group in attribute-object compositions
Yong-Lu Li, Yue Xu, Xiaohan Mao, and Cewu Lu · 2020
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Ilvr: Conditioning method for denoising diffusion probabilistic models
Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, and Sungroh Yoon · 2021
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2021
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Open world compositional zero-shot learning
Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, and Zeynep Akata · 2021
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Learning graph embeddings for compositional zero-shot learning
Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, and Zeynep Akata · 2021
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Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, and Mark Chen · 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, et al · 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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Independent prototype propagation for zero-shot compositionality
Frank Ruis, Gertjan Burghouts, and Doina Bucur · 2021
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Improving text-to-image synthesis using contrastive learning
Hui Ye, Xiulong Yang, Martin Takac, Rajshekhar Sunderraman, and Shihao Ji · 2021
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Cross-modal contrastive learning for text-to-image generation
Han Zhang, Jing Yu Koh, Jason Baldridge, Honglak Lee, and Yinfei Yang · 2021
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Blended diffusion for text-driven editing of natural images
Omri Avrahami, Dani Lischinski, and Ohad Fried · 2022
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Vqgan-clip: Open domain image generation and editing with natural language guidance
Katherine Crowson, Stella Biderman, Daniel Kornis, Dashiell Stander, Eric Hallahan, Louis Castricato, and Edward Raff · 2022
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Learning attention as disentangler for compositional zero-shot learning
Shaozhe Hao, Kai Han, and Kwan-Yee K Wong · 2023
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Vico: Plug-and-play visual condition for personalized text-to-image generation
Shaozhe Hao, Kai Han, Shihao Zhao, and Kwan-Yee K. Wong · 2023
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Taming encoder for zero fine-tuning image customization with text-to-image diffusion models
Xuhui Jia, Yang Zhao, Kelvin CK Chan, Yandong Li, Han Zhang, Boqing Gong, Tingbo Hou, Huisheng Wang, and Yu-Chuan Su · 2023
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Multi-concept customization of text-to-image diffusion
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Language-informed visual concept learning
Sharon Lee, Yunzhi Zhang, Shangzhe Wu, and Jiajun Wu · 2023
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Prompt-to-prompt image editing with cross attention control
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Siamese contrastive embedding network for compositional zero-shot learning
Xiangyu Li, Xu Yang, Kun Wei, Cheng Deng, and Muli Yang · 2022
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Learning graph embeddings for open world compositional zero-shot learning
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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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More control for free! image synthesis with semantic diffusion guidance
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Decomposed soft prompt guided fusion enhancing for compositional zero-shot learning
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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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Learning disentangled prompts for compositional image synthesis
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Key-locked rank one editing for text-to-image personalization
Yoad Tewel, Rinon Gal, Gal Chechik, and Yuval Atzmon · 2023
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Concept decomposition for visual exploration and inspiration
Yael Vinker, Andrey Voynov, Daniel Cohen-Or, and Ariel Shamir · 2023
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Styleadapter: A single-pass lora-free model for stylized image generation
Zhouxia Wang, Xintao Wang, Liangbin Xie, Zhongang Qi, Ying Shan, Wenping Wang, and Ping Luo · 2023
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Elite: Encoding visual concepts into textual embeddings for customized text-to-image generation
Yuxiang Wei, Yabo Zhang, Zhilong Ji, Jinfeng Bai, Lei Zhang, and Wangmeng Zuo · 2023
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Subject-driven text-to-image generation via apprenticeship learning
Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, and William W Cohen · 2024
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Caila: Concept-aware intra-layer adapters for compositional zero-shot learning
Zhaoheng Zheng, Haidong Zhu, and Ram Nevatia · 2024
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