Fetching the paper…
Reading the bibliography…
Subject-driven text-to-image generation has witnessed remarkable advancements in its ability to learn and capture characteristics of a subject using only a limited number of images.
Multi-concept customization of text-to-image diffusion
Kumari, N.; Zhang, B.; Zhang, R.; Shechtman, E.; and Zhu, J.-Y. 2023 · 1941
Earlier work this paper cites.
Stackgan++: Realistic image synthesis with stacked generative adversarial networks
Zhang, H.; Xu, T.; Li, H.; Zhang, S.; Wang, X.; Huang, X.; and Metaxas, D. N. 2018 · 1962
Earlier work this paper cites.
Removing shadows from images
Finlayson, G. D.; Hordley, S. D.; and Drew, M. S. 2002 · 2002
Earlier work this paper cites.
Attacking visible watermarking schemes
Huang, C.-H.; and Wu, J.-L. 2004 · 2004
Earlier work this paper cites.
On the removal of shadows from images
Finlayson, G.; Hordley, S.; Lu, C.; and Drew, M. 2006 · 2006
Earlier work this paper cites.
A novel image recovery algorithm for visible watermarked images
Pei, S.-C.; and Zeng, Y.-C. 2006 · 2006
Earlier work this paper cites.
The shadow meets the mask: Pyramid-based shadow removal
Shor, Y.; and Lischinski, D. 2008 · 2008
Earlier work this paper cites.
Entropy minimization for shadow removal
Finlayson, G. D.; Drew, M. S.; and Lu, C. 2009 · 2009
Earlier work this paper cites.
Shadow removal using intensity surfaces and texture anchor points
Arbel, E.; and Hel-Or, H. 2010 · 2010
Earlier work this paper cites.
Generative Adversarial Nets
Goodfellow, I.; Pouget-Abadie, J.; Mirza, M.; Xu, B.; Warde-Farley, D.; Ozair, S.; Courville, A.; and Bengio, Y. 2014 · 2014
Earlier work this paper cites.
Conditional generative adversarial nets
Mirza, M.; and Osindero, S. 2014 · 2014
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Bahdanau, D.; Cho, K.; and Bengio, Y. 2015 · 2015
Earlier work this paper cites.
Automatic shadow detection and removal from a single image
Khan, S. H.; Bennamoun, M.; Sohel, F.; and Togneri, R. 2015 · 2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
Ronneberger, O.; Fischer, P.; and Brox, T. 2015 · 2015
Earlier work this paper cites.
Shadow Remover: Image Shadow Removal Based on Illumination Recovering Optimization
Zhang, L.; Zhang, Q.; and Xiao, C. 2015 · 2015
Earlier work this paper cites.
Generative adversarial text to image synthesis
Reed, S.; Akata, Z.; Yan, X.; Logeswaran, L.; Schiele, B.; and Lee, H. 2016 · 2016
Earlier work this paper cites.
On the effectiveness of visible watermarks
Dekel, T.; Rubinstein, M.; Liu, C.; and Freeman, W. T. 2017 · 2017
Earlier work this paper cites.
Attention is all you need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
Earlier work this paper cites.
An automatic visible watermark removal technique using image inpainting algorithms
Xu, C.; Lu, Y.; and Zhou, Y. 2017 · 2017
Earlier work this paper cites.
Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks
Zhang, H.; Xu, T.; Li, H.; Zhang, S.; Wang, X.; Huang, X.; and Metaxas, D. N. 2017 · 2017
Earlier work this paper cites.
Vggface2: A dataset for recognising faces across pose and age
Cao, Q.; Shen, L.; Xie, W.; Parkhi, O. M.; and Zisserman, A. 2018 · 2018
Earlier work this paper cites.
Large-scale visible watermark detection and removal with deep convolutional networks
Cheng, D.; Li, X.; Li, W.-H.; Lu, C.; Li, F.; Zhao, H.; and Zheng, W.-S. 2018 · 2018
Earlier work this paper cites.
Visible watermark removal scheme based on reversible data hiding and image inpainting
Qin, C.; He, Z.; Yao, H.; Cao, F.; and Gao, L. 2018 · 2018
Earlier work this paper cites.
Stacked conditional generative adversarial networks for jointly learning shadow detection and shadow removal
Wang, J.; Li, X.; and Yang, J. 2018 · 2018
Cited alongside, same era.
Attngan: Fine-grained text to image generation with attentional generative adversarial networks
Xu, T.; Zhang, P.; Huang, Q.; Zhang, H.; Gan, Z.; Huang, X.; and He, X. 2018 · 2018
Cited alongside, same era.
Photographic text-to-image synthesis with a hierarchically-nested adversarial network
Zhang, Z.; Xie, Y.; and Yang, L. 2018 · 2018
Cited alongside, same era.
Generative adversarial networks model for visible watermark removal
Cao, Z.; Niu, S.; Zhang, J.; and Wang, X. 2019 · 2019
Cited alongside, same era.
Argan: Attentive recurrent generative adversarial network for shadow detection and removal
Ding, B.; Long, C.; Zhang, L.; and Xiao, C. 2019 · 2019
Cited alongside, same era.
Cross Aggregation Transformer for Image Restoration
Chen, Z.; Zhang, Y.; Gu, J.; Zhang, Y.; Kong, L.; and Yuan, X. 2022 · 2022
Later among the works it cites.
Vector quantized diffusion model for text-to-image synthesis
Gu, S.; Chen, D.; Bao, J.; Wen, F.; Zhang, B.; Chen, D.; Yuan, L.; and Guo, B. 2022 · 2022
Later among the works it cites.
LoRA: Low-Rank Adaptation of Large Language Models
Hu, E. J.; Shen, Y.; Wallis, P.; Allen-Zhu, Z.; Li, Y.; Wang, S.; Wang, L.; and Chen, W. 2022 · 2022
Later among the works it cites.
Deep generalized unfolding networks for image restoration
Mou, C.; Wang, Q.; and Zhang, J. 2022 · 2022
Later among the works it cites.
Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Nichol, A. Q.; Dhariwal, P.; Ramesh, A.; Shyam, P.; Mishkin, P.; McGrew, B.; Sutskever, I.; and Chen, M. 2022 · 2022
Later among the works it cites.
Hierarchical text-conditional image generation with clip latents
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Hu, X.; Jiang, Y.; Fu, C.-W.; and Heng, P.-A. 2019 · 2019
Cited alongside, same era.
Shadow removal via shadow image decomposition
Le, H.; and Samaras, D. 2019 · 2019
Cited alongside, same era.
Mirrorgan: Learning text-to-image generation by redescription
Qiao, T.; Zhang, J.; Xu, D.; and Tao, D. 2019 · 2019
Cited alongside, same era.
Semantics disentangling for text-to-image generation
Yin, G.; Liu, B.; Sheng, L.; Yu, N.; Wang, X.; and Shao, J. 2019 · 2019
Cited alongside, same era.
Dm-gan: Dynamic memory generative adversarial networks for text-to-image synthesis
Zhu, M.; Pan, P.; Chen, W.; and Yang, Y. 2019 · 2019
Cited alongside, same era.
Rifegan: Rich feature generation for text-to-image synthesis from prior knowledge
Cheng, J.; Wu, F.; Tian, Y.; Wang, L.; and Tao, D. 2020 · 2020
Cited alongside, same era.
Denoising diffusion probabilistic models
Ho, J.; Jain, A.; and Abbeel, P. 2020 · 2020
Cited alongside, same era.
Ramesh, A.; Dhariwal, P.; Nichol, A.; Chu, C.; and Chen, M. 2022 · 2022
Later among the works it cites.
High-resolution image synthesis with latent diffusion models
Rombach, R.; Blattmann, A.; Lorenz, D.; Esser, P.; and Ommer, B. 2022 · 2022
Later among the works it cites.
Photorealistic text-to-image diffusion models with deep language understanding
Saharia, C.; Chan, W.; Saxena, S.; Li, L.; Whang, J.; Denton, E. L.; Ghasemipour, K.; Gontijo Lopes, R.; Karagol Ayan, B.; Salimans, T.; et al. 2022 · 2022
Later among the works it cites.
Uformer: A general u-shaped transformer for image restoration
Wang, Z.; Cun, X.; Bao, J.; Zhou, W.; Liu, J.; and Li, H. 2022 · 2022
Later among the works it cites.
Restormer: Efficient transformer for high-resolution image restoration
Zamir, S. W.; Arora, A.; Khan, S.; Hayat, M.; Khan, F. S.; and Yang, M.-H. 2022 · 2022
Later among the works it cites.
Bijective Mapping Network for Shadow Removal
Zhu, Y.; Huang, J.; Fu, X.; Zhao, F.; Sun, Q.; and Zha, Z.-J. 2022 · 2022
Later among the works it cites.
Break-A-Scene: Extracting Multiple Concepts from a Single Image
Avrahami, O.; Aberman, K.; Fried, O.; Cohen-Or, D.; and Lischinski, D. 2023 · 2023
Later among the works it cites.
Subject-driven Text-to-Image Generation via Apprenticeship Learning
Chen, W.; Hu, H.; Li, Y.; Ruiz, N.; Jia, X.; Chang, M.-W.; and Cohen, W. W. 2023 · 2023
Later among the works it cites.
An image is worth one word: Personalizing text-to-image generation using textual inversion
Gal, R.; Alaluf, Y.; Atzmon, Y.; Patashnik, O.; Bermano, A. H.; Chechik, G.; and Cohen-Or, D. 2023 · 2023
Later among the works it cites.
Shadowdiffusion: When degradation prior meets diffusion model for shadow removal
Guo, L.; Wang, C.; Yang, W.; Huang, S.; Wang, Y.; Pfister, H.; and Wen, B. 2023 · 2023
Later among the works it cites.
Estimating reflectance layer from a single image: Integrating reflectance guidance and shadow/specular aware learning
Jin, Y.; Li, R.; Yang, W.; and Tan, R. T. 2023 · 2023
Later among the works it cites.
Imagic: Text-Based Real Image Editing With Diffusion Models
Kawar, B.; Zada, S.; Lang, O.; Tov, O.; Chang, H.; Dekel, T.; Mosseri, I.; and Irani, M. 2023 · 2023
Later among the works it cites.
Specialist Diffusion: Plug-and-Play Sample-Efficient Fine-Tuning of Text-to-Image Diffusion Models To Learn Any Unseen Style
Lu, H.; Tunanyan, H.; Wang, K.; Navasardyan, S.; Wang, Z.; and Shi, H. 2023 · 2023
Later among the works it cites.
Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Ruiz, N.; Li, Y.; Jampani, V.; Pritch, Y.; Rubinstein, M.; and Aberman, K. 2023 · 2023
Later among the works it cites.
Anti-dreambooth: Protecting users from personalized text-to-image synthesis
Van Le, T.; Phung, H.; Nguyen, T. H.; Dao, Q.; Tran, N. N.; and Tran, A. 2023 · 2023
Later among the works it cites.
Adding Conditional Control to Text-to-Image Diffusion Models
Zhang, L.; Rao, A.; and Agrawala, M. 2023 · 2023
Later among the works it cites.
Single-image shadow detection and removal using paired regions
Guo, R.; Dai, Q.; and Hoiem, D. 2011 · 2040
Closest in time.