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Diffusion models have exhibited impressive prowess in the text-to-image task.
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
Tumanyan, N.; Geyer, M.; Bagon, S.; and Dekel, T. 2023 · 1930
Earlier work this paper cites.
Microsoft coco: Common objects in context
Lin, T.-Y.; Maire, M.; Belongie, S.; Hays, J.; Perona, P.; Ramanan, D.; Dollár, P.; and Zitnick, C. L. 2014 · 2014
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.
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
Earlier work this paper cites.
The unreasonable effectiveness of deep features as a perceptual metric
Zhang, R.; Isola, P.; Efros, A. A.; Shechtman, E.; and Wang, O. 2018 · 2018
Earlier work this paper cites.
Denoising diffusion probabilistic models
Ho, J.; Jain, A.; and Abbeel, P. 2020 · 2020
Earlier work this paper cites.
Exploring the limits of transfer learning with a unified text-to-text transformer
Raffel, C.; Shazeer, N.; Roberts, A.; Lee, K.; Narang, S.; Matena, M.; Zhou, Y.; Li, W.; and Liu, P. J. 2020 · 2020
Earlier work this paper cites.
pytorch-fid: FID Score for PyTorch
Seitzer, M. 2020 · 2020
Earlier work this paper cites.
Diffusion models beat gans on image synthesis
Dhariwal, P.; and Nichol, A. 2021 · 2021
Earlier work this paper cites.
Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Nichol, A.; Dhariwal, P.; Ramesh, A.; Shyam, P.; Mishkin, P.; McGrew, B.; Sutskever, I.; and Chen, M. 2021 · 2021
Earlier work this paper cites.
Zero-shot text-to-image generation
Ramesh, A.; Pavlov, M.; Goh, G.; Gray, S.; Voss, C.; Radford, A.; Chen, M.; and Sutskever, I. 2021 · 2021
Earlier work this paper cites.
Blended diffusion for text-driven editing of natural images
Avrahami, O.; Lischinski, D.; and Fried, O. 2022 · 2022
Earlier work this paper cites.
Training-free structured diffusion guidance for compositional text-to-image synthesis
Feng, W.; He, X.; Fu, T.-J.; Jampani, V.; Akula, A.; Narayana, P.; Basu, S.; Wang, X. E.; and Wang, W. Y. 2022 · 2022
Cited alongside, same era.
Prompt-to-Prompt Image Editing with Cross Attention Control
Hertz, A.; Mokady, R.; Tenenbaum, J.; Aberman, K.; Pritch, Y.; and Cohen-Or, D. 2022 · 2022
Cited alongside, same era.
Repaint: Inpainting using denoising diffusion probabilistic models
Lugmayr, A.; Danelljan, M.; Romero, A.; Yu, F.; Timofte, R.; and Van Gool, L. 2022 · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Rombach, R.; Blattmann, A.; Lorenz, D.; Esser, P.; and Ommer, B. 2022 · 2022
Cited alongside, same era.
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
Grounding dino: Marrying dino with grounded pre-training for open-set object detection
Liu, S.; Zeng, Z.; Ren, T.; Li, F.; Zhang, H.; Yang, J.; Li, C.; Yang, J.; Su, H.; Zhu, J.; et al. 2023 · 2023
Closest in time.
TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition
Lu, S.; Liu, Y.; and Kong, A. W.-K. 2023 · 2023
Closest in time.
Mou, C.; Wang, X.; Xie, L.; Zhang, J.; Qi, Z.; Shan, Y.; and Qie, X. 2023 · 2023
Closest in time.
Localizing object-level shape variations with text-to-image diffusion models
Patashnik, O.; Garibi, D.; Azuri, I.; Averbuch-Elor, H.; and Cohen-Or, D. 2023 · 2023
Closest in time.
Multi-Concept T2I-Zero: Tweaking Only The Text Embeddings and Nothing Else
Tunanyan, H.; Xu, D.; Navasardyan, S.; Wang, Z.; and Shi, H. 2023 · 2023
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Cited alongside, same era.
Laion-5b: An open large-scale dataset for training next generation image-text models
Schuhmann, C.; Beaumont, R.; Vencu, R.; Gordon, C.; Wightman, R.; Cherti, M.; Coombes, T.; Katta, A.; Mullis, C.; Wortsman, M.; et al. 2022 · 2022
Cited alongside, same era.
Pretraining is all you need for image-to-image translation
Wang, T.; Zhang, T.; Zhang, B.; Ouyang, H.; Chen, D.; Chen, Q.; and Wen, F. 2022 · 2022
Cited alongside, same era.
Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and editing
Cao, M.; Wang, X.; Qi, Z.; Shan, Y.; Qie, X.; and Zheng, Y. 2023 · 2023
Cited alongside, same era.
Attend-and-excite: Attention-based semantic guidance for text-to-image diffusion models
Chefer, H.; Alaluf, Y.; Vinker, Y.; Wolf, L.; and Cohen-Or, D. 2023 · 2023
Cited alongside, same era.
Diffusion self-guidance for controllable image generation
Epstein, D.; Jabri, A.; Poole, B.; Efros, A.; and Holynski, A. 2023 · 2023
Cited alongside, same era.
Oneformer: One transformer to rule universal image segmentation
Jain, J.; Li, J.; Chiu, M. T.; Hassani, A.; Orlov, N.; and Shi, H. 2023 · 2023
Cited alongside, same era.
Segment anything
Kirillov, A.; Mintun, E.; Ravi, N.; Mao, H.; Rolland, C.; Gustafson, L.; Xiao, T.; Whitehead, S.; Berg, A. C.; Lo, W.-Y.; et al. 2023 · 2023
Cited alongside, same era.
Closest in time.
Sketch-guided text-to-image diffusion models
Voynov, A.; Aberman, K.; and Cohen-Or, D. 2023 · 2023
Closest in time.
Boxdiff: Text-to-image synthesis with training-free box-constrained diffusion
Xie, J.; Li, Y.; Huang, Y.; Liu, H.; Zhang, W.; Zheng, Y.; and Shou, M. Z. 2023 · 2023
Closest in time.
Paint by example: Exemplar-based image editing with diffusion models
Yang, B.; Gu, S.; Zhang, B.; Zhang, T.; Chen, X.; Sun, X.; Chen, D.; and Wen, F. 2023 · 2023
Closest in time.
Adding conditional control to text-to-image diffusion models
Zhang, L.; Rao, A.; and Agrawala, M. 2023 · 2023
Closest in time.
Freecontrol: Training-free spatial control of any text-to-image diffusion model with any condition
Mo, S.; Mu, F.; Lin, K. H.; Liu, Y.; Guan, B.; Li, Y.; and Zhou, B. 2024 · 2024
Closest in time.
Uni-controlnet: All-in-one control to text-to-image diffusion models
Zhao, S.; Chen, D.; Chen, Y.-C.; Bao, J.; Hao, S.; Yuan, L.; and Wong, K.-Y. K. 2024 · 2024
Closest in time.