{"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/semantic-anything-in-3d-gaussians","title":"SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian Decomposition","arxiv_id":"2401.17857","date":"2024-01-31","proceeding":null,"authors":["Xu Hu","Yuxi Wang","Lue Fan","Chuanchen Luo","Junsong Fan","Zhen Lei","Qing Li","Junran Peng","Zhaoxiang Zhang"],"abstract":"3D Gaussian Splatting has emerged as an alternative 3D representation for novel view synthesis, benefiting from its high-quality rendering results and real-time rendering speed. However, the 3D Gaussians learned by 3D-GS have ambiguous structures without any geometry constraints. This inherent issue in 3D-GS leads to a rough boundary when segmenting individual objects. To remedy these problems, we propose SAGD, a conceptually simple yet effective boundary-enhanced segmentation pipeline for 3D-GS to improve segmentation accuracy while preserving segmentation speed. Specifically, we introduce a Gaussian Decomposition scheme, which ingeniously utilizes the special structure of 3D Gaussian, finds out, and then decomposes the boundary Gaussians. Moreover, to achieve fast interactive 3D segmentation, we introduce a novel training-free pipeline by lifting a 2D foundation model to 3D-GS. Extensive experiments demonstrate that our approach achieves high-quality 3D segmentation without rough boundary issues, which can be easily applied to other scene editing tasks.","url_abs":"https://arxiv.org/abs/2401.17857v4","url_pdf":"https://arxiv.org/pdf/2401.17857v4.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":"semantic-anything-in-3d-gaussians","repo_url":"https://github.com/xuhu0529/sags","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}}],"tasks":[{"task_slug":"novel-view-synthesis","task_name":"Novel View Synthesis"},{"task_slug":"segmentation","task_name":"Segmentation"},{"task_slug":"semantic-segmentation","task_name":"Semantic Segmentation"}],"methods":[{"method_slug":"sam","method_name":"SAM"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2401.17857","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2401.17857"}},"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/xuhu0529/sags","reach":{"status":"ok"}}],"summary":{"ran_honours":2,"ran":5,"unverified":4},"by_repo_kind":{"official":{"samples":11,"ran":7,"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":11,"samples":[{"code_sha256_prefix":"c56b7ef16f309a45","entry":"gaussian","repo":"xuhu0529/sags","repo_kind":"official","path":"gaussiansplatting/utils/loss_utils.py","file_url":"https://github.com/xuhu0529/sags/blob/HEAD/gaussiansplatting/utils/loss_utils.py","link_basis":"harvester_set","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"c56b7ef16f309a45"}},{"code_sha256_prefix":"ac0e42d6fbcfbbe6","entry":"l1_loss","repo":"xuhu0529/sags","repo_kind":"official","path":"gaussiansplatting/utils/loss_utils.py","file_url":"https://github.com/xuhu0529/sags/blob/HEAD/gaussiansplatting/utils/loss_utils.py","link_basis":"harvester_set","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":"ac0e42d6fbcfbbe6"}},{"code_sha256_prefix":"8c3b0f873ba11813","entry":"l2_loss","repo":"xuhu0529/sags","repo_kind":"official","path":"gaussiansplatting/utils/loss_utils.py","file_url":"https://github.com/xuhu0529/sags/blob/HEAD/gaussiansplatting/utils/loss_utils.py","link_basis":"harvester_set","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":"8c3b0f873ba11813"}},{"code_sha256_prefix":"1dab900b2adbe38e","entry":"normalize_activation","repo":"xuhu0529/sags","repo_kind":"official","path":"gaussiansplatting/lpipsPyTorch/modules/utils.py","file_url":"https://github.com/xuhu0529/sags/blob/HEAD/gaussiansplatting/lpipsPyTorch/modules/utils.py","link_basis":"harvester_set","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":"1dab900b2adbe38e"}},{"code_sha256_prefix":"fc14cb2deb120b19","entry":"porject_to_2d","repo":"xuhu0529/sags","repo_kind":"official","path":"seg_utils.py","file_url":"https://github.com/xuhu0529/sags/blob/HEAD/seg_utils.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":"fc14cb2deb120b19"}},{"code_sha256_prefix":"cdd00787894554b5","entry":"readImages","repo":"xuhu0529/sags","repo_kind":"official","path":"gaussiansplatting/metrics.py","file_url":"https://github.com/xuhu0529/sags/blob/HEAD/gaussiansplatting/metrics.py","link_basis":"harvester_set","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":"cdd00787894554b5"}},{"code_sha256_prefix":"56858e04e6fdb2ff","entry":"read_next_bytes","repo":"xuhu0529/sags","repo_kind":"official","path":"gaussiansplatting/scene/colmap_loader.py","file_url":"https://github.com/xuhu0529/sags/blob/HEAD/gaussiansplatting/scene/colmap_loader.py","link_basis":"harvester_set","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"56858e04e6fdb2ff"}},{"code_sha256_prefix":"07bd0da29c4dc7bb","entry":"get_network","repo":"xuhu0529/sags","repo_kind":"official","path":"gaussiansplatting/lpipsPyTorch/modules/networks.py","file_url":"https://github.com/xuhu0529/sags/blob/HEAD/gaussiansplatting/lpipsPyTorch/modules/networks.py","link_basis":"harvester_set","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":"07bd0da29c4dc7bb"}},{"code_sha256_prefix":"b06f27c08cf5d0ca","entry":"get_state_dict","repo":"xuhu0529/sags","repo_kind":"official","path":"gaussiansplatting/lpipsPyTorch/modules/utils.py","file_url":"https://github.com/xuhu0529/sags/blob/HEAD/gaussiansplatting/lpipsPyTorch/modules/utils.py","link_basis":"harvester_set","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":"b06f27c08cf5d0ca"}},{"code_sha256_prefix":"6ce64cf0fbcd6bb1","entry":"qvec2rotmat","repo":"xuhu0529/sags","repo_kind":"official","path":"gaussiansplatting/scene/colmap_loader.py","file_url":"https://github.com/xuhu0529/sags/blob/HEAD/gaussiansplatting/scene/colmap_loader.py","link_basis":"harvester_set","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":"6ce64cf0fbcd6bb1"}},{"code_sha256_prefix":"659bc4e7e63ed8f9","entry":"rotmat2qvec","repo":"xuhu0529/sags","repo_kind":"official","path":"gaussiansplatting/scene/colmap_loader.py","file_url":"https://github.com/xuhu0529/sags/blob/HEAD/gaussiansplatting/scene/colmap_loader.py","link_basis":"harvester_set","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":"659bc4e7e63ed8f9"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}