{"url":"/method/stylealae","slug":"stylealae","name":"StyleALAE","full_name":"StyleALAE","full_name_withheld":false,"description_markdown":"**StyleALAE** is a type of [adversarial latent autoencoder](https://paperswithcode.com/method/alae) that uses a [StyleGAN](https://paperswithcode.com/method/stylegan) based generator. For this the latent space $\\mathcal{W}$ plays the same role as the intermediate latent space in [StyleGAN](https://paperswithcode.com/method/stylegan). Therefore, the $G$ network becomes the part of StyleGAN depicted on the right side of the Figure. The left side is a\r\nnovel architecture that we designed to be the encoder $E$. The StyleALAE encoder has [Instance Normalization](https://paperswithcode.com/method/instance-normalization) (IN) layers to extract multiscale style information that is combined into a latent code $w$ via a learnable multilinear map.","description_state":"present","introduced_year":null,"introduced_by":{"title":null,"paper":null,"first_author":null,"n_authors":0,"url_abs":null,"archive_paper_url":null},"source":{"url":"https://arxiv.org/abs/2004.04467v1","title":"Adversarial Latent Autoencoders","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 Models","url":"/methods/category/generative-models","pwc_aliases":[]}],"n_papers_tagged":2,"archive_num_papers":null,"papers_newest_first":[{"paper":null,"title":"One-shot domain adaptation for semantic face editing of real world images using StyleALAE","date":"2021-08-31","arxiv_id":"2108.13876","n_code_links":0,"syntology":null},{"paper":"/paper/adversarial-latent-autoencoders","title":"Adversarial Latent Autoencoders","date":"2020-04-09","arxiv_id":"2004.04467","n_code_links":12,"syntology":{"ran":0,"of":2,"unverified":2,"pointer_only":0}}],"papers_shown":2,"tasks":[{"task":"/task/disentanglement","name":"Disentanglement","papers":1},{"task":"/task/domain-adaptation","name":"Domain Adaptation","papers":1},{"task":"/task/image-generation","name":"Image Generation","papers":1}],"tasks_shown":3,"n_tasks":3,"usage_by_year":[{"year":"2020","papers":1},{"year":"2021","papers":1}],"row_source":"embedded","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/stylealae"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}