[
    {
        "Variant name": "main",
        "Reviewer name": "Julie Digne <julie.digne@liris.cnrs.fr>",
        "Is master variant (boolean)": true,
        "Is variant deprecated (boolean)": false,
        "Title": "Non-stationary texture synthesis by adversarial expansion",
        "DOI": "10.1145/3197517.3201285",
        "Year": 2018,
        "ACM Keywords": [
            "Appearance and texture representations",
            "Texturing"
        ],
        "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": "https://arxiv.org/pdf/1805.04487.pdf",
        "PDF on Arxiv or any openarchive initiatives (boolean)": true,
        "Arxiv/OAI page URL": "https://arxiv.org/abs/1805.04487",
        "Project URL": "https://vcc.tech/research/2018/TexSyn",
        "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://github.com/jessemelpolio/non-stationary_texture_syn",
        "Code URL2": "",
        "MD5 sum (for archives)": "",
        "git/hg/svn commit hash or revision number": "c74b8c0adb3a8a0831f491958b827811977108b3",
        "MD5 sum (for archives) URL2": "",
        "git/hg/svn commit hash or revision number URL2": "",
        "Software Heritage permalink": "https://archive.softwareheritage.org/swh:1:dir:54bd512d68a2d323c24921a43c29d6ed90a66f0a;origin=https://github.com/jessemelpolio/non-stationary_texture_syn/",
        "Software type {Code, Binary, Partial Code}": "Code",
        "Code License (if any)": "MIT",
        "Are the code authors explicit? (boolean)": true,
        "Build/Configure mechanism": "Not applicable (python, Matlab..)",
        "Dependencies": "pytorch/cuda",
        "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}": 4,
        "Build/configure score {0=NA, 1,2,3,4,5}": 5,
        "Fixing bugs score (if any) {0=NA, 1,2,3,4,5}": 4,
        "Replicate paper results score {0=NA, 1,2,3,4,5}": 5,
        "Adaptability score to other contexts {0=NA, 1,2,3,4,5}": 3,
        "Time spent for the test (code download to first successful run, [0,10], 10min slots, 100min max)": 10,
        "Operating system for the test": "Linux",
        "Build instructions/comments": "The code is supposed to support python3 (script train_half_style starts with python3), but several changes need to be made to make it work with python3: tensor[0] should be replaced by tensor.item(), xrange() should be replaced by range(). Needs also visdom and dominate package which were not listed in the README.",
        "Misc. comments": "",
        "Software language": "Python"
    }
]