lzhbrian/arbitrary-text-to-image-papers
A collection of arbitrary text to image papers with code (constantly updating)
This collection helps researchers and practitioners explore cutting-edge methods for generating images from various textual descriptions. It organizes academic papers, providing titles, conference details, and links to both the papers and their associated code. Anyone interested in the latest advancements in AI-driven image creation from text would find this resource valuable.
211 stars. No commits in the last 6 months.
Use this if you are a researcher or AI practitioner looking for a curated list of academic papers and code implementations on text-to-image synthesis.
Not ideal if you are an end-user seeking a ready-to-use application or a guide on how to implement text-to-image models without a research background.
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MIT
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Last pushed
Nov 26, 2019
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