GlyphDraw2: Automatic Generation of Complex Glyph Posters with Diffusion Models and Large Language Models

ICDAR 2013 Robust Reading Competition

Karatzas, D.; Shafait, F.; Uchida, S.; Iwamura, M.; Bigorda, L. G. i.; Mestre, S. R.; Mas, J.; Mota, D. F.; Almazàn, J. A.; and de las Heras, L. P. 2013 · 2013

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Decoupled weight decay regularization

Original

Loshchilov, I.; and Hutter, F. 2017 · 2017

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Glide: Towards photorealistic image generation and editing with text-guided diffusion models

Original

Nichol, A.; Dhariwal, P.; Ramesh, A.; Shyam, P.; Mishkin, P.; McGrew, B.; Sutskever, I.; and Chen, M. 2021 · 2021

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Laion-400m: Open dataset of clip-filtered 400 million image-text pairs

Original

Schuhmann, C.; Vencu, R.; Beaumont, R.; Kaczmarczyk, R.; Mullis, C.; Katta, A.; Coombes, T.; Jitsev, J.; and Komatsuzaki, A. 2021 · 2021

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ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information

Original

Sun, Z.; Li, X.; Sun, X.; Meng, Y.; Ao, X.; He, Q.; Wu, F.; and Li, J. 2021 · 2021

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Wukong: A 100 million large-scale chinese cross-modal pre-training benchmark

Gu, J.; Meng, X.; Lu, G.; Hou, L.; Minzhe, N.; Liang, X.; Yao, L.; Huang, R.; Zhang, W.; Jiang, X.; et al. 2022 · 2022

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Hierarchical text-conditional image generation with clip latents

Original

Ramesh, A.; Dhariwal, P.; Nichol, A.; Chu, C.; and Chen, M. 2022 · 2022

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High-resolution image synthesis with latent diffusion models

Rombach, R.; Blattmann, A.; Lorenz, D.; Esser, P.; and Ommer, B. 2022 · 2022

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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

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Resolution-robust large mask inpainting with fourier convolutions

Suvorov, R.; Logacheva, E.; Mashikhin, A.; Remizova, A.; Ashukha, A.; Silvestrov, A.; Kong, N.; Goka, H.; Park, K.; and Lempitsky, V. 2022 · 2022

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ByT5: Towards a token-free future with pre-trained byte-to-byte models

Original

Xue, L.; Barua, A.; Constant, N.; Al-Rfou, R.; Narang, S.; Kale, M.; Roberts, A.; and Raffel, C. 2022 · 2022

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Qwen Technical Report

Original

Bai, J.; Bai, S.; Chu, Y.; Cui, Z.; Dang, K.; Deng, X.; Fan, Y.; Ge, W.; Han, Y.; Huang, F.; Hui, B.; Ji, L.; Li, M.; Lin, J.; Lin, R.; Liu, D.; Liu, G.; Lu, C.; Lu, K.; Ma, J.; Men, R.; Ren, X.; Ren, X.; Tan, C.; Tan, S.; Tu, J.; Wang, P.; Wang, S.; Wang, W.; Wu, S.; Xu, B.; Xu, J.; Yang, A.; Yang, H.; Yang, J.; Yang, S.; Yao, Y.; Yu, B.; Yuan, H.; Yuan, Z.; Zhang, J.; Zhang, X.; Zhang, Y.; Zhang, Z.; Zhou, C.; Zhou, J.; Zhou, X.; and Zhu, T. 2023 · 2023

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Llm blueprint: Enabling text-to-image generation with complex and detailed prompts

Original

Gani, H.; Bhat, S. F.; Naseer, M.; Khan, S.; and Wonka, P. 2023 · 2023

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Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Li, J.; Li, D.; Savarese, S.; and Hoi, S. 2023 · 2023

Cited alongside, same era.

SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Original

Podell, D.; English, Z.; Lacey, K.; Blattmann, A.; Dockhorn, T.; Müller, J.; Penna, J.; and Rombach, R. 2023 · 2023

Cited alongside, same era.

Unicontrol: A unified diffusion model for controllable visual generation in the wild

Original

Qin, C.; Zhang, S.; Yu, N.; Feng, Y.; Yang, X.; Zhou, Y.; Wang, H.; Niebles, J. C.; Xiong, C.; Savarese, S.; et al. 2023 · 2023

Cited alongside, same era.

Llama 2: Open Foundation and Fine-Tuned Chat Models

Original

Touvron, H.; Martin, L.; Stone, K.; Albert, P.; Almahairi, A.; Babaei, Y.; Bashlykov, N.; Batra, S.; Bhargava, P.; Bhosale, S.; Bikel, D.; Blecher, L.; Ferrer, C. C.; Chen, M.; Cucurull, G.; Esiobu, D.; Fernandes, J.; Fu, J.; Fu, W.; Fuller, B.; Gao, C.; Goswami, V.; Goyal, N.; Hartshorn, A.; Hosseini, S.; Hou, R.; Inan, H.; Kardas, M.; Kerkez, V.; Khabsa, M.; Kloumann, I.; Korenev, A.; Koura, P. S.; Lachaux, M.-A.; Lavril, T.; Lee, J.; Liskovich, D.; Lu, Y.; Mao, Y.; Martinet, X.; Mihaylov, T.; Mishra, P.; Molybog, I.; Nie, Y.; Poulton, A.; Reizenstein, J.; Rungta, R.; Saladi, K.; Schelten, A.; Silva, R.; Smith, E. M.; Subramanian, R.; Tan, X. E.; Tang, B.; Taylor, R.; Williams, A.; Kuan, J. X.; Xu, P.; Yan, Z.; Zarov, I.; Zhang, Y.; Fan, A.; Kambadur, M.; Narang, S.; Rodriguez, A.; Stojnic, R.; Edunov, S.; and Scialom, T. 2023 · 2023

Layoutgpt: Compositional visual planning and generation with large language models

Feng, W.; Zhu, W.; Fu, T.-j.; Jampani, V.; Akula, A.; He, X.; Basu, S.; Wang, X. E.; and Wang, W. Y. 2024 · 2024

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SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-form Layout-to-Image Generation

Original

Jia, C.; Luo, M.; Dang, Z.; Dai, G.; Chang, X.; Wang, M.; and Wang, J. 2024 · 2024

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Refining Text-to-Image Generation: Towards Accurate Training-Free Glyph-Enhanced Image Generation

Original

Lakhanpal, S.; Chopra, S.; Jain, V.; Chadha, A.; and Luo, M. 2024 · 2024

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Blip-diffusion: Pre-trained subject representation for controllable text-to-image generation and editing

Li, D.; Li, J.; and Hoi, S. 2024 · 2024

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LayoutPrompter: Awaken the Design Ability of Large Language Models

Lin, J.; Guo, J.; Sun, S.; Yang, Z.; Lou, J.-G.; and Zhang, D. 2024 · 2024