{"url":"/method/codeslam","slug":"codeslam","name":"CodeSLAM","full_name":"CodeSLAM","full_name_withheld":false,"description_markdown":"CodeSLAM represents the 3D geometry of a scene using the latent space of a variational autoencoder. The depth thus becomes a function of the RGB image and the unknown code, $D = G_\\theta(I,c)$. During training time, the weights of the network $G_\\theta$ are learnt by training the generator and encoder using a standard autoencoding task. At test time the code $c$ and the pose of the images is found by optimizing the reprojection error over multiple images.","description_state":"present","introduced_year":null,"introduced_by":{"title":"CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM","paper":"/paper/codeslam-learning-a-compact-optimisable","first_author":"Michael Bloesch","n_authors":5,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/codeslam-learning-a-compact-optimisable"},"source":{"url":"http://arxiv.org/abs/1804.00874v2","title":"CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM","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":"3D Reconstruction","url":"/methods/category/3d-reconstruction","pwc_aliases":[]}],"n_papers_tagged":2,"archive_num_papers":2,"papers_newest_first":[{"paper":null,"title":"CodeMapping: Real-Time Dense Mapping for Sparse SLAM using Compact Scene Representations","date":"2021-07-19","arxiv_id":"2107.08994","n_code_links":0,"syntology":null},{"paper":"/paper/codeslam-learning-a-compact-optimisable","title":"CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM","date":"2018-04-03","arxiv_id":"1804.00874","n_code_links":3,"syntology":{"ran":4,"of":4,"unverified":0,"pointer_only":4}}],"papers_shown":2,"tasks":[{"task":"/task/3d-reconstruction","name":"3D Reconstruction","papers":1},{"task":"/task/depth-estimation","name":"Depth Estimation","papers":1},{"task":"/task/scene-understanding","name":"Scene Understanding","papers":1}],"tasks_shown":3,"n_tasks":3,"usage_by_year":[{"year":"2018","papers":1},{"year":"2021","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/codeslam"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}