[
    {
        "Variant name": "main",
        "Reviewer name": "David Coeurjolly <david.coeurjolly@liris.cnrs.fr>",
        "Is master variant (boolean)": true,
        "Is variant deprecated (boolean)": false,
        "Title": "Estimating Image Depth Using Shape Collections",
        "DOI": "10.1145/2601097.2601159",
        "Year": 2014,
        "ACM Keywords": [
            "Randomness, geometry and discrete structures",
            "Shape modeling"
        ],
        "Topic {Rendering, Animation and Simulation, Geometry, Images, Virtual Reality, Fabrication}": "Images",
        "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://ai.stanford.edu/~haosu/SIG14/imageShapeNet.pdf",
        "PDF on Arxiv or any openarchive initiatives (boolean)": false,
        "Arxiv/OAI page URL": "",
        "Project URL": "http://ai.stanford.edu/~haosu/SIG14/depthtransfer.html",
        "Code available (boolean)": false,
        "If code not available, pseudo-code available (boolean)": false,
        "If pseudo-code, could the paper be trivially implemented? {0..4}": "",
        "Code URL": "",
        "Code URL2": "",
        "MD5 sum (for archives)": "",
        "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 License (if any)": "",
        "Are the code authors explicit? (boolean)": false,
        "Build/Configure mechanism": "",
        "Dependencies": "",
        "Does the software require paywall/proprietary software/material (boolean)?": false,
        "Does the code need data (not examples) (boolean)": false,
        "Nature of the data (pretrained model, LUT...)": "",
        "License of the data": "",
        "Able to perform a replicability test (boolean)": false,
        "If not able to perform a test, was it due to missing hardware/software? (boolean)": false,
        "Documentation score {0=NA,1,2,3}": 0,
        "Dependencies score {0=NA, 1,2,3,4,5}": "",
        "Build/configure score {0=NA, 1,2,3,4,5}": "",
        "Fixing bugs score (if any) {0=NA, 1,2,3,4,5}": "",
        "Replicate paper results score {0=NA, 1,2,3,4,5}": "",
        "Adaptability score to other contexts {0=NA, 1,2,3,4,5}": "",
        "Time spent for the test (code download to first successful run, [0,10], 10min slots, 100min max)": 2,
        "Operating system for the test": "",
        "Build instructions/comments": "",
        "Misc. comments": "The 2014 paper project page mentions two followup papers (sigasia 2015 and ICCV 2015) that may contain some relevant code if we want to reimplement the paper (without more details). We have decided not to evaluate the replicability of the paper.",
        "Software language": ""
    }
]