{"url":"/method/style-transfer-module","slug":"style-transfer-module","name":"Style Transfer Module","full_name":"Style Transfer Module","full_name_withheld":false,"description_markdown":"Modules used in [GAN](https://paperswithcode.com/method/gan)'s style transfer.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization","paper":"/paper/arbitrary-style-transfer-in-real-time-with","first_author":"Xun Huang","n_authors":2,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/arbitrary-style-transfer-in-real-time-with"},"source":{"url":"http://arxiv.org/abs/1703.06868v2","title":"Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Generative Adversarial Networks","url":"/methods/category/generative-adversarial-networks","pwc_aliases":[]}],"n_papers_tagged":12,"archive_num_papers":12,"papers_newest_first":[{"paper":null,"title":"Fast Registration of Photorealistic Avatars for VR Facial Animation","date":"2024-01-19","arxiv_id":"2401.11002","n_code_links":0,"syntology":null},{"paper":null,"title":"Informative Data Mining for One-Shot Cross-Domain Semantic Segmentation","date":"2023-09-25","arxiv_id":"2309.14241","n_code_links":0,"syntology":null},{"paper":"/paper/few-shot-font-generation-via-transferring","title":"Few shot font generation via transferring similarity guided global style and quantization local style","date":"2023-09-02","arxiv_id":"2309.00827","n_code_links":1,"syntology":{"ran":14,"of":20,"unverified":6,"pointer_only":0}},{"paper":"/paper/on-the-fly-neural-style-smoothing-for-risk","title":"On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization","date":"2023-07-17","arxiv_id":"2307.08551","n_code_links":1,"syntology":null},{"paper":"/paper/intra-extra-source-exemplar-based-style","title":"Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization","date":"2023-07-02","arxiv_id":"2307.00648","n_code_links":1,"syntology":null},{"paper":"/paper/contrast-stylize-and-adapt-unsupervised","title":"Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation","date":"2023-06-15","arxiv_id":"2306.09098","n_code_links":1,"syntology":null},{"paper":null,"title":"ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation","date":"2022-06-08","arxiv_id":"2206.03888","n_code_links":0,"syntology":null},{"paper":null,"title":"Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit","date":"2022-01-25","arxiv_id":"2201.10079","n_code_links":0,"syntology":null},{"paper":null,"title":"Domain-Robust Mitotic Figure Detection with Style Transfer","date":"2021-09-02","arxiv_id":"2109.01124","n_code_links":0,"syntology":null},{"paper":"/paper/mogan-morphologic-structure-aware-generative","title":"MOGAN: Morphologic-structure-aware Generative Learning from a Single Image","date":"2021-03-04","arxiv_id":"2103.02997","n_code_links":1,"syntology":null},{"paper":"/paper/adversarial-style-mining-for-one-shot","title":"Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation","date":"2020-04-13","arxiv_id":"2004.06042","n_code_links":1,"syntology":{"ran":4,"of":4,"unverified":0,"pointer_only":2}},{"paper":"/paper/arbitrary-style-transfer-in-real-time-with","title":"Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization","date":"2017-03-20","arxiv_id":"1703.06868","n_code_links":29,"syntology":{"ran":28,"of":41,"unverified":13,"pointer_only":29}}],"papers_shown":12,"tasks":[{"task":"/task/style-transfer","name":"Style Transfer","papers":11},{"task":"/task/domain-adaptation","name":"Domain Adaptation","papers":4},{"task":"/task/semantic-segmentation","name":"Semantic Segmentation","papers":4},{"task":"/task/domain-generalization","name":"Domain Generalization","papers":3},{"task":"/task/unsupervised-domain-adaptation","name":"Unsupervised Domain Adaptation","papers":3},{"task":"/task/autonomous-driving","name":"Autonomous Driving","papers":2},{"task":"/task/contrastive-learning","name":"Contrastive Learning","papers":2},{"task":"/task/data-augmentation","name":"Data Augmentation","papers":1},{"task":"/task/disentanglement","name":"Disentanglement","papers":1},{"task":"/task/font-generation","name":"Font Generation","papers":1},{"task":null,"name":"Generative Adversarial Network","papers":1},{"task":"/task/image-generation","name":"Image Generation","papers":1},{"task":"/task/image-segmentation","name":"Image Segmentation","papers":1},{"task":"/task/medical-image-segmentation","name":"Medical Image Segmentation","papers":1},{"task":"/task/one-shot-unsupervised-domain-adaptation","name":"One-shot Unsupervised Domain Adaptation","papers":1},{"task":"/task/quantization","name":"Quantization","papers":1},{"task":"/task/roi-based-image-generation","name":"ROI-based image generation","papers":1},{"task":"/task/ssim","name":"SSIM","papers":1},{"task":"/task/sensitivity","name":"Sensitivity","papers":1},{"task":"/task/specificity","name":"Specificity","papers":1}],"tasks_shown":20,"n_tasks":21,"usage_by_year":[{"year":"2017","papers":1},{"year":"2020","papers":1},{"year":"2021","papers":2},{"year":"2022","papers":2},{"year":"2023","papers":5},{"year":"2024","papers":1}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/style-transfer-module"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}