Style-Transfer-in-Text and awesome-text-style-transfer
These are ecosystem siblings—both are curated resource repositories that independently catalog papers, datasets, and implementations related to text style transfer, serving as complementary reference guides rather than competing tools or interdependent components.
About Style-Transfer-in-Text
fuzhenxin/Style-Transfer-in-Text
Paper List for Style Transfer in Text
Organizes 100+ peer-reviewed papers on text style transfer across supervised and unsupervised approaches, including back-translation, adversarial autoencoders, and reinforcement learning methods. Covers specialized applications like formality conversion, sentiment modification, and toxicity removal, alongside foundational datasets (YAFC, ParaDetox) and evaluation frameworks. Extends beyond style transfer to related controlled text generation and disentangled representation learning techniques.
About awesome-text-style-transfer
yd1996/awesome-text-style-transfer
A list of resources about Text Style Transfer
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