[
    {
        "Variant name": "main",
        "Reviewer name": "Julie Digne <julie.digne@liris.cnrs.fr>",
        "Is master variant (boolean)": true,
        "Is variant deprecated (boolean)": false,
        "Title": "Shape2Pose: Human-Centric Shape Analysis",
        "DOI": "10.1145/2601097.2601117",
        "Year": 2014,
        "ACM Keywords": [
            "Randomness, geometry and discrete structures",
            "Shape modeling"
        ],
        "Topic {Rendering, Animation and Simulation, Geometry, Images, Virtual Reality, Fabrication}": "Geometry",
        "Co-authors from academia (boolean)": true,
        "Co-authors from industry (boolean)": false,
        "ACM Open Access (boolean)": false,
        "PDF on the authors' webpage / institution (boolean)": true,
        "PDF URL": "http://www.vovakim.com/papers/14_SIGGRAPH_Shape2Pose.pdf",
        "PDF on Arxiv or any openarchive initiatives (boolean)": false,
        "Arxiv/OAI page URL": "",
        "Project URL": "https://gfx.cs.princeton.edu/pubs/Kim_2014_SHS/index.php",
        "Code available (boolean)": true,
        "If code not available, pseudo-code available (boolean)": false,
        "If pseudo-code, could the paper be trivially implemented? {0..4}": "",
        "Code URL": "https://web.archive.org/web/20160602231129/http://www.cs.princeton.edu/~vk/projects/Shape2Pose/doc_code.php",
        "Code URL2": "",
        "MD5 sum (for archives)": "4eb3b03f148ae49655469922df975b1e",
        "git/hg/svn commit hash or revision number": "",
        "MD5 sum (for archives) URL2": "",
        "git/hg/svn commit hash or revision number URL2": "",
        "Software Heritage permalink": "",
        "Software type {Code, Binary, Partial Code}": "Code",
        "Code License (if any)": "unspecified",
        "Are the code authors explicit? (boolean)": true,
        "Build/Configure mechanism": "Makefile",
        "Dependencies": "",
        "Does the software require paywall/proprietary software/material (boolean)?": false,
        "Does the code need data (not examples) (boolean)": true,
        "Nature of the data (pretrained model, LUT...)": "Training data",
        "License of the data": "",
        "Able to perform a replicability test (boolean)": true,
        "If not able to perform a test, was it due to missing hardware/software? (boolean)": false,
        "Documentation score {0=NA,1,2,3}": 1,
        "Dependencies score {0=NA, 1,2,3,4,5}": 0,
        "Build/configure score {0=NA, 1,2,3,4,5}": 5,
        "Fixing bugs score (if any) {0=NA, 1,2,3,4,5}": 0,
        "Replicate paper results score {0=NA, 1,2,3,4,5}": 0,
        "Adaptability score to other contexts {0=NA, 1,2,3,4,5}": 0,
        "Time spent for the test (code download to first successful run, [0,10], 10min slots, 100min max)": 5,
        "Operating system for the test": "Linux",
        "Build instructions/comments": "Could not fix what appear to be a scheduling bug: command line ./train.py small exp1_small examples/train_small.txt yielded \"[WARNING] Error executing: TempDir/exp1_small/points_even_1000/607.sh.\" due to a false assertion in ScheduleJob",
        "Misc. comments": "",
        "Software language": "C/C++, Python"
    }
]