{"url":"/method/noise2fast","slug":"noise2fast","name":"Noise2Fast","full_name":"Noise2Fast","full_name_withheld":false,"description_markdown":"**Noise2Fast** is a model for single image blind denoising. It is similar to masking based methods -- filling in the pixel gaps -- in that the network is blind to many of the input pixels during training. The method is inspired by Neighbor2Neighbor, where the neural network learns a mapping between adjacent pixels. Noise2Fast is tuned to speed by using a discrete four image training set obtained by a form of downsampling called “checkerboard downsampling.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Noise2Fast: Fast Self-Supervised Single Image Blind Denoising","paper":"/paper/noise2fast-fast-self-supervised-single-image","first_author":"Jason Lequyer","n_authors":4,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/noise2fast-fast-self-supervised-single-image"},"source":{"url":"https://arxiv.org/abs/2108.10209v1","title":"Noise2Fast: Fast Self-Supervised Single Image Blind Denoising","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":"Image Denoising Models","url":"/methods/category/image-denoising-models","pwc_aliases":[]}],"n_papers_tagged":2,"archive_num_papers":2,"papers_newest_first":[{"paper":null,"title":"Convolutional Neural Network Transformer (CNNT) for Fluorescence Microscopy image Denoising with Improved Generalization and Fast Adaptation","date":"2024-04-06","arxiv_id":"2404.04726","n_code_links":0,"syntology":null},{"paper":"/paper/noise2fast-fast-self-supervised-single-image","title":"Noise2Fast: Fast Self-Supervised Single Image Blind Denoising","date":"2021-08-23","arxiv_id":"2108.10209","n_code_links":1,"syntology":{"ran":0,"of":1,"unverified":1,"pointer_only":0}}],"papers_shown":2,"tasks":[{"task":"/task/denoising","name":"Denoising","papers":2},{"task":"/task/image-denoising","name":"Image Denoising","papers":2}],"tasks_shown":2,"n_tasks":2,"usage_by_year":[{"year":"2021","papers":1},{"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/noise2fast"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}