{"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/shapenet-an-information-rich-3d-model","title":"ShapeNet: An Information-Rich 3D Model Repository","arxiv_id":"1512.03012","date":"2015-12-09","proceeding":null,"authors":["Angel X. Chang","Thomas Funkhouser","Leonidas Guibas","Pat Hanrahan","Qi-Xing Huang","Zimo Li","Silvio Savarese","Manolis Savva","Shuran Song","Hao Su","Jianxiong Xiao","Li Yi","Fisher Yu"],"abstract":"We present ShapeNet: a richly-annotated, large-scale repository of shapes\nrepresented by 3D CAD models of objects. ShapeNet contains 3D models from a\nmultitude of semantic categories and organizes them under the WordNet taxonomy.\nIt is a collection of datasets providing many semantic annotations for each 3D\nmodel such as consistent rigid alignments, parts and bilateral symmetry planes,\nphysical sizes, keywords, as well as other planned annotations. Annotations are\nmade available through a public web-based interface to enable data\nvisualization of object attributes, promote data-driven geometric analysis, and\nprovide a large-scale quantitative benchmark for research in computer graphics\nand vision. At the time of this technical report, ShapeNet has indexed more\nthan 3,000,000 models, 220,000 models out of which are classified into 3,135\ncategories (WordNet synsets). In this report we describe the ShapeNet effort as\na whole, provide details for all currently available datasets, and summarize\nfuture plans.","url_abs":"http://arxiv.org/abs/1512.03012v1","url_pdf":"http://arxiv.org/pdf/1512.03012v1.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":"shapenet-an-information-rich-3d-model","repo_url":"https://github.com/AliBahri94/SVWA_TTA","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"shapenet-an-information-rich-3d-model","repo_url":"https://github.com/TheCamusean/grasp_diffusion","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"shapenet-an-information-rich-3d-model","repo_url":"https://github.com/Xharlie/ShapenetRender_more_variation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"shapenet-an-information-rich-3d-model","repo_url":"https://github.com/ajhamdi/semantic-robustness","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"shapenet-an-information-rich-3d-model","repo_url":"https://github.com/bashivanlab/iwisdm","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"shapenet-an-information-rich-3d-model","repo_url":"https://github.com/eleanorye00/Gamifier","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"shapenet-an-information-rich-3d-model","repo_url":"https://github.com/google-research/cad-estate","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"shapenet-an-information-rich-3d-model","repo_url":"https://github.com/hamidreza-dastmalchi/3dd-tta","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"shapenet-an-information-rich-3d-model","repo_url":"https://github.com/josh-tobin/egqn-datasets","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"shapenet-an-information-rich-3d-model","repo_url":"https://github.com/lynetcha/completion3d","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"shapenet-an-information-rich-3d-model","repo_url":"https://github.com/merazlab/3D_Deep_Learning_Link","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"gone","observed_at":"2026-09-18","how":"tree_404+repo_404"}},{"paper_slug":"shapenet-an-information-rich-3d-model","repo_url":"https://github.com/mmspg/mesh-sampling","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"shapenet-an-information-rich-3d-model","repo_url":"https://github.com/monniert/unicorn","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"shapenet-an-information-rich-3d-model","repo_url":"https://github.com/tensorflow/models/tree/master/research/ptn","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"shapenet-an-information-rich-3d-model","repo_url":"https://github.com/vnoves/aectech2019-sketchto3d-backend","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"shapenet-an-information-rich-3d-model","repo_url":"https://github.com/xcyan/nips16_PTN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"torch","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"data-visualization","task_name":"Data Visualization"},{"task_slug":"model","task_name":"model"}],"methods":[],"datasets_introduced":[{"slug":"shapenet","name":"ShapeNet","full_name":""},{"slug":"shapenetcore","name":"ShapeNetCore","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1512.03012","atlas_url":"https://app.syntology.ai/?focus=1512.03012","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}