{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/one-model-for-all-low-level-task-interaction","title":"One Model for ALL: Low-Level Task Interaction Is a Key to Task-Agnostic Image Fusion","arxiv_id":"2502.19854","date":"2025-02-27","proceeding":"CVPR 2025 1","authors":["Chunyang Cheng","Tianyang Xu","ZhenHua Feng","XiaoJun Wu","ZhangyongTang","Hui Li","Zeyang Zhang","Sara Atito","Muhammad Awais","Josef Kittler"],"abstract":"Advanced image fusion methods mostly prioritise high-level missions, where task interaction struggles with semantic gaps, requiring complex bridging mechanisms. In contrast, we propose to leverage low-level vision tasks from digital photography fusion, allowing for effective feature interaction through pixel-level supervision. This new paradigm provides strong guidance for unsupervised multimodal fusion without relying on abstract semantics, enhancing task-shared feature learning for broader applicability. Owning to the hybrid image features and enhanced universal representations, the proposed GIFNet supports diverse fusion tasks, achieving high performance across both seen and unseen scenarios with a single model. Uniquely, experimental results reveal that our framework also supports single-modality enhancement, offering superior flexibility for practical applications. Our code will be available at https://github.com/AWCXV/GIFNet.","url_abs":"https://arxiv.org/abs/2502.19854v1","url_pdf":"https://arxiv.org/pdf/2502.19854v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"one-model-for-all-low-level-task-interaction","repo_url":"https://github.com/awcxv/gifnet","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}}],"tasks":[{"task_slug":"all","task_name":"All"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2502.19854","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2502.19854"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/awcxv/gifnet","reach":{"status":"ok"}},{"provenance":"deterministic:regex_extraction","url":"https://github.com/AWCXV/GIFNet","reach":{"status":"ok"}}],"summary":{"ran":11,"ran_honours":1,"ran_fixture":1,"unverified":5},"by_repo_kind":{"official":{"samples":18,"ran":13,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":18,"samples":[{"code_sha256_prefix":"2082a688d3732dbb","entry":"CNNspecificDecoder","repo":"AWCXV/GIFNet","repo_kind":"official","path":"GIFNet_model.py","file_url":"https://github.com/AWCXV/GIFNet/blob/HEAD/GIFNet_model.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"2082a688d3732dbb"}},{"code_sha256_prefix":"220528d7d7149302","entry":"ComplementFeatureFusionModule","repo":"AWCXV/GIFNet","repo_kind":"official","path":"GIFNet_model.py","file_url":"https://github.com/AWCXV/GIFNet/blob/HEAD/GIFNet_model.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"220528d7d7149302"}},{"code_sha256_prefix":"07baa027f22e0310","entry":"ConvLayer","repo":"AWCXV/GIFNet","repo_kind":"official","path":"GIFNet_model.py","file_url":"https://github.com/AWCXV/GIFNet/blob/HEAD/GIFNet_model.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"07baa027f22e0310"}},{"code_sha256_prefix":"64a1f9d86e5a825a","entry":"Mlp","repo":"AWCXV/GIFNet","repo_kind":"official","path":"GIFNet_model.py","file_url":"https://github.com/AWCXV/GIFNet/blob/HEAD/GIFNet_model.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"64a1f9d86e5a825a"}},{"code_sha256_prefix":"1f918e1ee475329a","entry":"PatchEmbed","repo":"AWCXV/GIFNet","repo_kind":"official","path":"GIFNet_model.py","file_url":"https://github.com/AWCXV/GIFNet/blob/HEAD/GIFNet_model.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"1f918e1ee475329a"}},{"code_sha256_prefix":"1a21d2e8622fc968","entry":"PatchUnEmbed","repo":"AWCXV/GIFNet","repo_kind":"official","path":"GIFNet_model.py","file_url":"https://github.com/AWCXV/GIFNet/blob/HEAD/GIFNet_model.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"1a21d2e8622fc968"}},{"code_sha256_prefix":"0786283a0b103cc4","entry":"RLN","repo":"AWCXV/GIFNet","repo_kind":"official","path":"GIFNet_model.py","file_url":"https://github.com/AWCXV/GIFNet/blob/HEAD/GIFNet_model.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"0786283a0b103cc4"}},{"code_sha256_prefix":"9bac8e0d4293193f","entry":"ReconstructionDecoder","repo":"AWCXV/GIFNet","repo_kind":"official","path":"GIFNet_model.py","file_url":"https://github.com/AWCXV/GIFNet/blob/HEAD/GIFNet_model.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"9bac8e0d4293193f"}},{"code_sha256_prefix":"9c8aaabfeacaeba5","entry":"SharedFeatureExtractor","repo":"AWCXV/GIFNet","repo_kind":"official","path":"GIFNet_model.py","file_url":"https://github.com/AWCXV/GIFNet/blob/HEAD/GIFNet_model.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"9c8aaabfeacaeba5"}},{"code_sha256_prefix":"12e49ea3bbb33533","entry":"TransformerBlock","repo":"AWCXV/GIFNet","repo_kind":"official","path":"GIFNet_model.py","file_url":"https://github.com/AWCXV/GIFNet/blob/HEAD/GIFNet_model.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"12e49ea3bbb33533"}},{"code_sha256_prefix":"fe88351dfc69995c","entry":"WindowAttention","repo":"AWCXV/GIFNet","repo_kind":"official","path":"GIFNet_model.py","file_url":"https://github.com/AWCXV/GIFNet/blob/HEAD/GIFNet_model.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"fe88351dfc69995c"}},{"code_sha256_prefix":"2a53db1b6432ab8c","entry":"get_relative_positions","repo":"AWCXV/GIFNet","repo_kind":"official","path":"GIFNet_model.py","file_url":"https://github.com/AWCXV/GIFNet/blob/HEAD/GIFNet_model.py","link_basis":"first_harvest_node","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"2a53db1b6432ab8c"}},{"code_sha256_prefix":"751569c78a842e44","entry":"window_partition","repo":"AWCXV/GIFNet","repo_kind":"official","path":"GIFNet_model.py","file_url":"https://github.com/AWCXV/GIFNet/blob/HEAD/GIFNet_model.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"751569c78a842e44"}},{"code_sha256_prefix":"4c15b775fd5d8f13","entry":"Attention","repo":"AWCXV/GIFNet","repo_kind":"official","path":"GIFNet_model.py","file_url":"https://github.com/AWCXV/GIFNet/blob/HEAD/GIFNet_model.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"4c15b775fd5d8f13"}},{"code_sha256_prefix":"2108150da68342d0","entry":"BasicLayer","repo":"AWCXV/GIFNet","repo_kind":"official","path":"GIFNet_model.py","file_url":"https://github.com/AWCXV/GIFNet/blob/HEAD/GIFNet_model.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"2108150da68342d0"}},{"code_sha256_prefix":"19fa62f9f112a515","entry":"TransformerNet","repo":"AWCXV/GIFNet","repo_kind":"official","path":"GIFNet_model.py","file_url":"https://github.com/AWCXV/GIFNet/blob/HEAD/GIFNet_model.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"19fa62f9f112a515"}},{"code_sha256_prefix":"f61d4362fc0384bc","entry":"TransformerSpecificExtractor","repo":"AWCXV/GIFNet","repo_kind":"official","path":"GIFNet_model.py","file_url":"https://github.com/AWCXV/GIFNet/blob/HEAD/GIFNet_model.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"f61d4362fc0384bc"}},{"code_sha256_prefix":"ff8418cf9d358f59","entry":"TwoBranchesFusionNet","repo":"AWCXV/GIFNet","repo_kind":"official","path":"GIFNet_model.py","file_url":"https://github.com/AWCXV/GIFNet/blob/HEAD/GIFNet_model.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"ff8418cf9d358f59"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}