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Diffusion models have exhibit exceptional performance in text-to-image generation and editing.
Deep unsupervised learning using nonequilibrium thermodynamics
Sohl-Dickstein, J., Weiss, E., Maheswaranathan, N., and Ganguli, S · 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
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Generative adversarial networks: An overview
Creswell, A., White, T., Dumoulin, V., Arulkumaran, K., Sengupta, B., and Bharath, A. A · 2018
Earlier work this paper cites.
Generative modeling by estimating gradients of the data distribution
Song, Y. and Ermon, S · 2019
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Denoising diffusion probabilistic models
Ho, J., Jain, A., and Abbeel, P · 2020
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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
Earlier work this paper cites.
Improved techniques for training score-based generative models
Song, Y. and Ermon, S · 2020
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Score-based generative modeling through stochastic differential equations
Song, Y., Sohl-Dickstein, J., Kingma, D. P., Kumar, A., Ermon, S., and Poole, B · 2020
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Learning to summarize with human feedback
Stiennon, N., Ouyang, L., Wu, J., Ziegler, D., Lowe, R., Voss, C., Radford, A., Amodei, D., and Christiano, P. F · 2020
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Diffusion models beat gans on image synthesis
Dhariwal, P. and Nichol, A · 2021
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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
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Learning transferable visual models from natural language supervision
Radford, A., Kim, J. W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al · 2021
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Introducing chatgpt, 2022
ChatGPT, I · 2022
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Scaling instruction-finetuned language models
Chung, H. W., Hou, L., Longpre, S., Zoph, B., Tay, Y., Fedus, W., Li, Y., Wang, X., Dehghani, M., Brahma, S., et al · 2022
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Training-free structured diffusion guidance for compositional text-to-image synthesis
Feng, W., He, X., Fu, T.-J., Jampani, V., Akula, A. R., Narayana, P., Basu, S., Wang, X. E., and Wang, W. Y · 2022
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Prompt-to-prompt image editing with cross attention control
Hertz, A., Mokady, R., Tenenbaum, J., Aberman, K., Pritch, Y., and Cohen-Or, D · 2022
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Opt-iml: Scaling language model instruction meta learning through the lens of generalization
Iyer, S., Lin, X. V., Pasunuru, R., Mihaylov, T., Simig, D., Yu, P., Shuster, K., Wang, T., Liu, Q., Koura, P. S., et al · 2022
Earlier work this paper cites.
Compositional visual generation with composable diffusion models
Liu, N., Li, S., Du, Y., Torralba, A., and Tenenbaum, J. B · 2022
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Crosslingual generalization through multitask finetuning
Muennighoff, N., Wang, T., Sutawika, L., Roberts, A., Biderman, S., Scao, T. L., Bari, M. S., Shen, S., Yong, Z.-X., Schoelkopf, H., et al · 2022
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Training language models to follow instructions with human feedback
Ouyang, L., Wu, J., Jiang, X., Almeida, D., Wainwright, C., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., et al · 2022
Earlier work this paper cites.
Hierarchical text-conditional image generation with clip latents
Ramesh, A., Dhariwal, P., Nichol, A., Chu, C., and Chen, M · 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
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
Cited alongside, same era.
Galactica: A large language model for science
Taylor, R., Kardas, M., Cucurull, G., Scialom, T., Hartshorn, A., Saravia, E., Poulton, A., Kerkez, V., and Stojnic, R · 2022
Cited alongside, same era.
Bloom: A 176b-parameter open-access multilingual language model
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
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Generating images with multimodal language models
Koh, J. Y., Fried, D., and Salakhutdinov, R · 2023
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Lian, L., Li, B., Yala, A., and Darrell, T · 2023
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Liu, H., Li, C., Wu, Q., and Lee, Y. J · 2023
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Workshop, B., Scao, T. L., Fan, A., Akiki, C., Pavlick, E., Ilić, S., Hesslow, D., Castagné, R., Luccioni, A. S., Yvon, F., et al · 2022
Cited alongside, same era.
Glm-130b: An open bilingual pre-trained model
Zeng, A., Liu, X., Du, Z., Wang, Z., Lai, H., Ding, M., Yang, Z., Xu, Y., Zheng, W., Xia, X., et al · 2022
Cited alongside, same era.
Opt: Open pre-trained transformer language models
Zhang, S., Roller, S., Goyal, N., Artetxe, M., Chen, M., Chen, S., Dewan, C., Diab, M., Li, X., Lin, X. V., et al · 2022
Cited alongside, same era.
Spatext: Spatio-textual representation for controllable image generation
Avrahami, O., Hayes, T., Gafni, O., Gupta, S., Taigman, Y., Parikh, D., Lischinski, D., Fried, O., and Yin, X · 2023
Cited alongside, same era.
Multidiffusion: Fusing diffusion paths for controlled image generation
Bar-Tal, O., Yariv, L., Lipman, Y., and Dekel, T · 2023
Cited alongside, same era.
Improving image generation with better captions
Betker, J., Goh, G., Jing, L., Brooks, T., Wang, J., Li, L., Ouyang, L., Zhuang, J., Lee, J., Guo, Y., et al · 2023
Cited alongside, same era.
Instructpix2pix: Learning to follow image editing instructions
Brooks, T., Holynski, A., and Efros, A. A · 2023
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
Cited alongside, same era.
Mou, C., Wang, X., Xie, L., Zhang, J., Qi, Z., Shan, Y., and Qie, X · 2023
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Gpt-4 technical report. arxiv 2303.08774
OpenAI, R · 2023
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Kosmos-g: Generating images in context with multimodal large language models
Pan, X., Dong, L., Huang, S., Peng, Z., Chen, W., and Wei, F · 2023
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Sdxl: Improving latent diffusion models for high-resolution image synthesis
Podell, D., English, Z., Lacey, K., Blattmann, A., Dockhorn, T., Müller, J., Penna, J., and Rombach, R · 2023
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Layoutllm-t2i: Eliciting layout guidance from llm for text-to-image generation
Qu, L., Wu, S., Fei, H., Nie, L., and Chua, T.-S · 2023
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Rassin, R., Hirsch, E., Glickman, D., Ravfogel, S., Goldberg, Y., and Chechik, G · 2023
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Vipergpt: Visual inference via python execution for reasoning
Surís, D., Menon, S., and Vondrick, C · 2023
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Gemini: a family of highly capable multimodal models
Team, G., Anil, R., Borgeaud, S., Wu, Y., Alayrac, J.-B., Yu, J., Soricut, R., Schalkwyk, J., Dai, A. M., Hauth, A., et al · 2023
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Compositional text-to-image synthesis with attention map control of diffusion models
Wang, R., Chen, Z., Chen, C., Ma, J., Lu, H., and Lin, X · 2023
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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
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Imagereward: Learning and evaluating human preferences for text-to-image generation
Xu, J., Liu, X., Wu, Y., Tong, Y., Li, Q., Ding, M., Tang, J., and Dong, Y · 2023
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Scaling autoregressive multi-modal models: Pretraining and instruction tuning
Yu, L., Shi, B., Pasunuru, R., Muller, B., Golovneva, O., Wang, T., Babu, A., Tang, B., Karrer, B., Sheynin, S., et al · 2023
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Enhanced visual instruction tuning for text-rich image understanding
Zhang, Y., Zhang, R., Gu, J., Zhou, Y., Lipka, N., Yang, D., and Sun, T · 2023
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Minigpt-4: Enhancing vision-language understanding with advanced large language models
Zhu, D., Chen, J., Shen, X., Li, X., and Elhoseiny, M · 2023
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Generalized decoding for pixel, image, and language
Zou, X., Dou, Z.-Y., Yang, J., Gan, Z., Li, L., Li, C., Dai, X., Behl, H., Wang, J., Yuan, L., et al · 2023
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Training-free layout control with cross-attention guidance
Chen, M., Laina, I., and Vedaldi, A · 2024
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