{"url":"/method/colorization-transformer","slug":"colorization-transformer","name":"Colorization Transformer","full_name":"Colorization Transformer","full_name_withheld":false,"description_markdown":"**Colorization Transformer** is a probabilistic [colorization](https://paperswithcode.com/method/colorization) model composed only of [axial self-attention blocks](https://paperswithcode.com/method/axial). The main advantages of these blocks are the ability to capture a global receptive field with only two layers and $\\mathcal{O}(D\\sqrt{D})$ instead of $\\text{O}(D^{2})$ complexity. In order to enable colorization of high-resolution grayscale images, the task is decomposed into three simpler sequential subtasks: coarse low resolution autoregressive colorization, parallel color and spatial super-resolution.\r\n\r\nFor coarse low resolution colorization, a conditional variant of [Axial Transformer](https://paperswithcode.com/method/axial) is applied. The authors leverage the semi-parallel sampling mechanism of Axial Transformers. Finally, fast parallel deterministic upsampling models are employed to super-resolve the coarsely colorized image into the final high resolution output.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Colorization Transformer","paper":"/paper/colorization-transformer-1","first_author":"Manoj Kumar","n_authors":3,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/colorization-transformer-1"},"source":{"url":"https://arxiv.org/abs/2102.04432v2","title":"Colorization Transformer","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 Colorization Models","url":"/methods/category/image-colorization-models","pwc_aliases":[]},{"area":"Computer Vision","area_id":"computer-vision","collection":"Vision Transformers","url":"/methods/category/vision-transformers","pwc_aliases":["vision-transformer"]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/colorization-transformer-1","title":"Colorization Transformer","date":"2021-02-08","arxiv_id":"2102.04432","n_code_links":2,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/colorization","name":"Colorization","papers":1},{"task":"/task/image-colorization","name":"Image Colorization","papers":1}],"tasks_shown":2,"n_tasks":2,"usage_by_year":[{"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/colorization-transformer"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}