From LAION-5B to LAION-EO: Filtering Billions of Images Using Anchor Datasets for Satellite Image Extraction

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Cloudsen12, a global dataset for semantic understanding of cloud and cloud shadow in sentinel-2

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Clip retrieval: Easily compute clip embeddings and build a clip retrieval system with them

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Open high-resolution satellite imagery: The worldstrat dataset – with application to super-resolution

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LoRA: Low-rank adaptation of large language models

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High-resolution image synthesis with latent diffusion models

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Photorealistic text-to-image diffusion models with deep language understanding

Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi · 2022

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LAION-5b: An open large-scale dataset for training next generation image-text models

Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade W Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, Patrick Schramowski, Srivatsa R Kundurthy, Katherine Crowson, Ludwig Schmidt, Robert Kaczmarczyk, and Jenia Jitsev · 2022

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An image is worth one word: Personalizing text-to-image generation using textual inversion

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T-mars: Improving visual representations by circumventing text feature learning, 2023

Pratyush Maini, Sachin Goyal, Zachary C. Lipton, J. Zico Kolter, and Aditi Raghunathan · 2023

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Filtering, distillation, and hard negatives for vision-language pre-training

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Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

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