This repository aggregates research papers on style transfer in text, a subfield of natural language processing that modifies the stylistic attributes of text while preserving content. The list organizes papers by type including review surveys, datasets with evaluation benchmarks, supervised methods using parallel data, and unsupervised approaches including attribute manipulation and back-translation. It serves as a reference resource for researchers studying controlled text generation and related NLP tasks.