{"url":"/method/iicnet","slug":"iicnet","name":"IICNet","full_name":"IICNet","full_name_withheld":false,"description_markdown":"**Invertible Image Conversion Net**, or **IICNet**, is a generic framework for reversible image conversion tasks. Unlike previous encoder-decoder based methods, IICNet maintains a highly invertible structure based on invertible neural networks (INNs) to better preserve the information during conversion. It uses a relation module and a channel squeeze layer to improve the INN nonlinearity to extract cross-image relations and the network flexibility, respectively.","description_state":"present","introduced_year":null,"introduced_by":{"title":"IICNet: A Generic Framework for Reversible Image Conversion","paper":"/paper/iicnet-a-generic-framework-for-reversible","first_author":"Ka Leong Cheng","n_authors":3,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/iicnet-a-generic-framework-for-reversible"},"source":{"url":"https://arxiv.org/abs/2109.04242v1","title":"IICNet: A Generic Framework for Reversible Image Conversion","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":"Reversible Image Conversion Models","url":"/methods/category/reversible-image-conversion-models","pwc_aliases":[]},{"area":"Computer Vision","area_id":"computer-vision","collection":"Image Models","url":"/methods/category/image-models","pwc_aliases":[]}],"n_papers_tagged":2,"archive_num_papers":2,"papers_newest_first":[{"paper":null,"title":"Deep Learning Applications Based on WISE Infrared Data: Classification of Stars, Galaxies and Quasars","date":"2023-05-17","arxiv_id":"2305.10217","n_code_links":0,"syntology":null},{"paper":"/paper/iicnet-a-generic-framework-for-reversible","title":"IICNet: A Generic Framework for Reversible Image Conversion","date":"2021-09-09","arxiv_id":"2109.04242","n_code_links":1,"syntology":null}],"papers_shown":2,"tasks":[{"task":"/task/classification-1","name":"Classification","papers":1},{"task":"/task/decoder","name":"Decoder","papers":1},{"task":"/task/image-classification","name":"Image Classification","papers":1},{"task":"/task/image-classification","name":"image-classification","papers":1}],"tasks_shown":4,"n_tasks":4,"usage_by_year":[{"year":"2021","papers":1},{"year":"2023","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/iicnet"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}