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An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance
Simran Khanuja
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Sathyanarayanan Ramamoorthy
|
Yueqi Song
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Graham Neubig
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Paper Details:
Month: November
Year: 2024
Location: Miami, Florida, USA
Venue:
EMNLP |
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https://machine-transcreation.github.io/
https://github.com/simran-khanuja/image-transcreation
http://tinyurl.com/doraemon-us
https://www.timothybrooks.com/instruct-pix2pix
https://huggingface.co/Salesforce/instructblip-flan-t5-xxl
https://platform.openai.com/docs/models/gpt-3-5
https://www.k5learning.com/free-worksheets-for-kids
https://bloomlibrary.org/
https://huggingface.co/datasets/sil-ai/bloom-vist
https://huggingface.co/models?pipeline_tag=
https://www.k5learning.com/worksheets/math/
https://cdn
https://github.com/simran-khanuja/image-transcreation/
https://github.com/simran-khanuja/image-transcreation/
https://www.reddit.com/r/dalle/comments/1au10g6/
https://zenoml.com/
https://www.prolific.com/
https://en.wikipedia.org/wiki/Hamburger
https://en.wikipedia.org/wiki/Hot_dog
https://en.wikipedia.org/wiki/Hamburger
https://upload.wikimedia.org/wikipedia/
https://en.wikipedia.org/wiki/Hot_dog
https://upload.wikimedia.org/wikipedia/
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