{"url":"/method/fuseformer","slug":"fuseformer","name":"FuseFormer","full_name":"FuseFormer","full_name_withheld":false,"description_markdown":"**FuseFormer** is a [Transformer](https://paperswithcode.com/method/transformer)-based model designed for video inpainting via fine-grained feature fusion based on novel [Soft Split and Soft Composition](https://paperswithcode.com/method/soft-split-and-soft-composition) operations. The soft split divides feature map into many patches with given overlapping interval while the soft composition stitches them back into a whole feature map where pixels in overlapping regions are summed up. FuseFormer builds soft composition and soft split into its [feedforward network](https://paperswithcode.com/method/feedforward-network) for further enhancing subpatch level feature fusion.","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/2109.02974v1","title":"FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting","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 Video Models","url":"/methods/category/generative-video-models","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":null,"papers_newest_first":[{"paper":"/paper/fuseformer-fusing-fine-grained-information-in","title":"FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting","date":"2021-09-07","arxiv_id":"2109.02974","n_code_links":1,"syntology":{"ran":10,"of":11,"unverified":1,"pointer_only":11}}],"papers_shown":1,"tasks":[{"task":"/task/seeing-beyond-the-visible","name":"Seeing Beyond the Visible","papers":1},{"task":"/task/video-inpainting","name":"Video Inpainting","papers":1}],"tasks_shown":2,"n_tasks":2,"usage_by_year":[{"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/fuseformer"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}