# fuzhenxin/Style-Transfer-in-Text

Paper List for Style Transfer in Text

Repository: https://github.com/fuzhenxin/Style-Transfer-in-Text
Canonical: https://ross.abutalabs.com/products/style-transfer-in-text
License Family: other
Topics: style-transfer, paper, natural-language-processing, survey
Last push: 2023-03-16T03:19:15+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3104, "days_push": 1266, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1627, forks 194 (observed 2026-08-28T04:05:13.137412+00:00)

## What it is
A curated paper list for text style transfer and related controlled text generation research in NLP. It organizes papers into reviews, datasets, and supervised/unsupervised methods with links to papers and code.

## Use cases
- find papers on text style transfer
- survey research on controlled text generation
- find datasets for formality style transfer
- get started researching unsupervised text style transfer
- find code implementations of style transfer models
- literature review for NLP thesis on style transfer

## When to choose
- starting research on text style transfer or controlled generation
- looking for a comprehensive, categorized reading list with paper and code links
- searching for benchmark datasets in this niche

## When to avoid
- you need runnable software rather than a reading list
- you need up-to-date papers after 2023
- you want a tool or library for applying style transfer

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: nlp, machine-learning
- domain: artificial-intelligence, tutorials
- platform: -
- tags: paper-list, style-transfer, survey, curated-list, research, natural-language-processing

## Member repositories
- fuzhenxin/Style-Transfer-in-Text (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:13.137412+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:48:24.450520+00:00, confidence not recorded.
  - readme: https://github.com/fuzhenxin/Style-Transfer-in-Text (fetched 2026-08-28T04:05:13.137412+00:00, sha 47546e1ec8a4)
- Data as of 2026-08-30T08:39:29.467469+00:00.