{"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/rmgn-a-regional-mask-guided-network-for","title":"RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on","arxiv_id":"2204.11258","date":"2022-04-24","proceeding":null,"authors":["Chao Lin","Zhao Li","Sheng Zhou","Shichang Hu","Jialun Zhang","Linhao Luo","Jiarun Zhang","Longtao Huang","Yuan He"],"abstract":"Virtual try-on(VTON) aims at fitting target clothes to reference person images, which is widely adopted in e-commerce.Existing VTON approaches can be narrowly categorized into Parser-Based(PB) and Parser-Free(PF) by whether relying on the parser information to mask the persons' clothes and synthesize try-on images. Although abandoning parser information has improved the applicability of PF methods, the ability of detail synthesizing has also been sacrificed. As a result, the distraction from original cloth may persistin synthesized images, especially in complicated postures and high resolution applications. To address the aforementioned issue, we propose a novel PF method named Regional Mask Guided Network(RMGN). More specifically, a regional mask is proposed to explicitly fuse the features of target clothes and reference persons so that the persisted distraction can be eliminated. A posture awareness loss and a multi-level feature extractor are further proposed to handle the complicated postures and synthesize high resolution images. Extensive experiments demonstrate that our proposed RMGN outperforms both state-of-the-art PB and PF methods.Ablation studies further verify the effectiveness ofmodules in RMGN.","url_abs":"https://arxiv.org/abs/2204.11258v1","url_pdf":"https://arxiv.org/pdf/2204.11258v1.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":"rmgn-a-regional-mask-guided-network-for","repo_url":"https://github.com/jokerlc/rmgn-viton","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"rmgn-a-regional-mask-guided-network-for","repo_url":"https://github.com/MosbehBarhoumi/VITON-PRE-PROCESSING","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok"}}],"tasks":[{"task_slug":"virtual-try-on","task_name":"Virtual Try-on"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2204.11258","atlas_url":"https://app.syntology.ai/?focus=2204.11258","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2204.11258"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+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":"deterministic:regex_extraction","url":"https://github.com/jokerlc/RMGN-VITON","reach":null}],"summary":{"ran":5,"ran_draft_wrong":3,"unverified":2},"by_repo_kind":{"official":{"samples":10,"ran":8,"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":10,"samples":[{"code_sha256_prefix":"bab100130574bdbc","entry":"AAD","repo":"jokerlc/RMGN-VITON","repo_kind":"official","path":"models/rmgn_generator.py","file_url":"https://github.com/jokerlc/RMGN-VITON/blob/HEAD/models/rmgn_generator.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":"bab100130574bdbc"}},{"code_sha256_prefix":"a662fff74c7ae90c","entry":"AADGenerator","repo":"jokerlc/RMGN-VITON","repo_kind":"official","path":"models/rmgn_generator.py","file_url":"https://github.com/jokerlc/RMGN-VITON/blob/HEAD/models/rmgn_generator.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":"a662fff74c7ae90c"}},{"code_sha256_prefix":"5d5a6e0cd1e5e7d6","entry":"AttrEncoder","repo":"jokerlc/RMGN-VITON","repo_kind":"official","path":"models/rmgn_generator.py","file_url":"https://github.com/jokerlc/RMGN-VITON/blob/HEAD/models/rmgn_generator.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":"5d5a6e0cd1e5e7d6"}},{"code_sha256_prefix":"291954ea41e3a4c8","entry":"BaseNetwork","repo":"jokerlc/RMGN-VITON","repo_kind":"official","path":"models/rmgn_generator.py","file_url":"https://github.com/jokerlc/RMGN-VITON/blob/HEAD/models/rmgn_generator.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":"291954ea41e3a4c8"}},{"code_sha256_prefix":"583ffd2274db6586","entry":"conv4x4","repo":"jokerlc/RMGN-VITON","repo_kind":"official","path":"models/rmgn_generator.py","file_url":"https://github.com/jokerlc/RMGN-VITON/blob/HEAD/models/rmgn_generator.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"583ffd2274db6586"}},{"code_sha256_prefix":"906a514ee30a03a5","entry":"deconv4x4","repo":"jokerlc/RMGN-VITON","repo_kind":"official","path":"models/rmgn_generator.py","file_url":"https://github.com/jokerlc/RMGN-VITON/blob/HEAD/models/rmgn_generator.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":"906a514ee30a03a5"}},{"code_sha256_prefix":"fba352cbdc0f36f0","entry":"get_head","repo":"jokerlc/RMGN-VITON","repo_kind":"official","path":"models/rmgn_generator.py","file_url":"https://github.com/jokerlc/RMGN-VITON/blob/HEAD/models/rmgn_generator.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"fba352cbdc0f36f0"}},{"code_sha256_prefix":"76387593edf70996","entry":"head_conv3x3","repo":"jokerlc/RMGN-VITON","repo_kind":"official","path":"models/rmgn_generator.py","file_url":"https://github.com/jokerlc/RMGN-VITON/blob/HEAD/models/rmgn_generator.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"76387593edf70996"}},{"code_sha256_prefix":"e65e07dd0c75967d","entry":"AADResnetBlock","repo":"jokerlc/RMGN-VITON","repo_kind":"official","path":"models/rmgn_generator.py","file_url":"https://github.com/jokerlc/RMGN-VITON/blob/HEAD/models/rmgn_generator.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":"e65e07dd0c75967d"}},{"code_sha256_prefix":"2c88bfc61a38dfe7","entry":"RMGNGenerator","repo":"jokerlc/RMGN-VITON","repo_kind":"official","path":"models/rmgn_generator.py","file_url":"https://github.com/jokerlc/RMGN-VITON/blob/HEAD/models/rmgn_generator.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":"2c88bfc61a38dfe7"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}