{"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/im2hands-learning-attentive-implicit","title":"Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes","arxiv_id":"2302.14348","date":"2023-02-28","proceeding":"CVPR 2023 1","authors":["Jihyun Lee","Minhyuk Sung","Honggyu Choi","Tae-Kyun Kim"],"abstract":"We present Implicit Two Hands (Im2Hands), the first neural implicit representation of two interacting hands. Unlike existing methods on two-hand reconstruction that rely on a parametric hand model and/or low-resolution meshes, Im2Hands can produce fine-grained geometry of two hands with high hand-to-hand and hand-to-image coherency. To handle the shape complexity and interaction context between two hands, Im2Hands models the occupancy volume of two hands - conditioned on an RGB image and coarse 3D keypoints - by two novel attention-based modules responsible for (1) initial occupancy estimation and (2) context-aware occupancy refinement, respectively. Im2Hands first learns per-hand neural articulated occupancy in the canonical space designed for each hand using query-image attention. It then refines the initial two-hand occupancy in the posed space to enhance the coherency between the two hand shapes using query-anchor attention. In addition, we introduce an optional keypoint refinement module to enable robust two-hand shape estimation from predicted hand keypoints in a single-image reconstruction scenario. We experimentally demonstrate the effectiveness of Im2Hands on two-hand reconstruction in comparison to related methods, where ours achieves state-of-the-art results. Our code is publicly available at https://github.com/jyunlee/Im2Hands.","url_abs":"https://arxiv.org/abs/2302.14348v3","url_pdf":"https://arxiv.org/pdf/2302.14348v3.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":"im2hands-learning-attentive-implicit","repo_url":"https://github.com/jyunlee/im2hands","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"image-reconstruction","task_name":"Image Reconstruction"},{"task_slug":"two","task_name":"Vocal Bursts Valence Prediction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2302.14348","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2302.14348"}},"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/jyunlee/im2hands","reach":null}],"summary":{"ran":7,"ran_draft_wrong":1,"unverified":6},"by_repo_kind":{"official":{"samples":14,"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":14,"samples":[{"code_sha256_prefix":"76cefbe096aaae1c","entry":"CrossTransformerBlock","repo":"jyunlee/im2hands","repo_kind":"official","path":"artihand/nasa/models/core_ref_occ.py","file_url":"https://github.com/jyunlee/im2hands/blob/HEAD/artihand/nasa/models/core_ref_occ.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":"76cefbe096aaae1c"}},{"code_sha256_prefix":"d45670d877133adf","entry":"ElementwiseMLP","repo":"jyunlee/im2hands","repo_kind":"official","path":"artihand/nasa/models/core_ref_occ.py","file_url":"https://github.com/jyunlee/im2hands/blob/HEAD/artihand/nasa/models/core_ref_occ.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":"d45670d877133adf"}},{"code_sha256_prefix":"f4a13002570828f6","entry":"PointNetSetAbstraction","repo":"jyunlee/im2hands","repo_kind":"official","path":"artihand/nasa/models/core_ref_occ.py","file_url":"https://github.com/jyunlee/im2hands/blob/HEAD/artihand/nasa/models/core_ref_occ.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":"f4a13002570828f6"}},{"code_sha256_prefix":"065b962e9c4de9ff","entry":"ResNetSimple","repo":"jyunlee/im2hands","repo_kind":"official","path":"artihand/nasa/models/core_ref_occ.py","file_url":"https://github.com/jyunlee/im2hands/blob/HEAD/artihand/nasa/models/core_ref_occ.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":"065b962e9c4de9ff"}},{"code_sha256_prefix":"66a0ece16a45dad1","entry":"ResNetSimple_decoder","repo":"jyunlee/im2hands","repo_kind":"official","path":"artihand/nasa/models/core_ref_occ.py","file_url":"https://github.com/jyunlee/im2hands/blob/HEAD/artihand/nasa/models/core_ref_occ.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":"66a0ece16a45dad1"}},{"code_sha256_prefix":"e8908a6667142a43","entry":"TransformerBlock","repo":"jyunlee/im2hands","repo_kind":"official","path":"artihand/nasa/models/core_ref_occ.py","file_url":"https://github.com/jyunlee/im2hands/blob/HEAD/artihand/nasa/models/core_ref_occ.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":"e8908a6667142a43"}},{"code_sha256_prefix":"84c7821e093aee66","entry":"TransformerSetAbstraction","repo":"jyunlee/im2hands","repo_kind":"official","path":"artihand/nasa/models/core_ref_occ.py","file_url":"https://github.com/jyunlee/im2hands/blob/HEAD/artihand/nasa/models/core_ref_occ.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":"84c7821e093aee66"}},{"code_sha256_prefix":"b0f2d1f6167792cd","entry":"xyz_to_xyz1","repo":"jyunlee/im2hands","repo_kind":"official","path":"artihand/nasa/models/core_ref_occ.py","file_url":"https://github.com/jyunlee/im2hands/blob/HEAD/artihand/nasa/models/core_ref_occ.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"b0f2d1f6167792cd"}},{"code_sha256_prefix":"6033597d2ea6cef5","entry":"ArticulatedHandNetRefOcc","repo":"jyunlee/im2hands","repo_kind":"official","path":"artihand/nasa/models/core_ref_occ.py","file_url":"https://github.com/jyunlee/im2hands/blob/HEAD/artihand/nasa/models/core_ref_occ.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":"6033597d2ea6cef5"}},{"code_sha256_prefix":"8431a1beb5355eef","entry":"PointTransformerDecoderOcc","repo":"jyunlee/im2hands","repo_kind":"official","path":"artihand/nasa/models/core_ref_occ.py","file_url":"https://github.com/jyunlee/im2hands/blob/HEAD/artihand/nasa/models/core_ref_occ.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":"8431a1beb5355eef"}},{"code_sha256_prefix":"2dbfde7873661dc7","entry":"PointTransformerEncoderV2","repo":"jyunlee/im2hands","repo_kind":"official","path":"artihand/nasa/models/core_ref_occ.py","file_url":"https://github.com/jyunlee/im2hands/blob/HEAD/artihand/nasa/models/core_ref_occ.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":"2dbfde7873661dc7"}},{"code_sha256_prefix":"4ab44c5555ac56e0","entry":"TransitionDown","repo":"jyunlee/im2hands","repo_kind":"official","path":"artihand/nasa/models/core_ref_occ.py","file_url":"https://github.com/jyunlee/im2hands/blob/HEAD/artihand/nasa/models/core_ref_occ.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":"4ab44c5555ac56e0"}},{"code_sha256_prefix":"386393fe21e2f5cb","entry":"extract_local_img_feat","repo":"jyunlee/im2hands","repo_kind":"official","path":"artihand/nasa/models/core_ref_occ.py","file_url":"https://github.com/jyunlee/im2hands/blob/HEAD/artihand/nasa/models/core_ref_occ.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":"386393fe21e2f5cb"}},{"code_sha256_prefix":"130d37eda50f9cdf","entry":"weights_init","repo":"jyunlee/im2hands","repo_kind":"official","path":"artihand/nasa/models/core_ref_occ.py","file_url":"https://github.com/jyunlee/im2hands/blob/HEAD/artihand/nasa/models/core_ref_occ.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":"130d37eda50f9cdf"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}