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{
    "pk": 30043,
    "title": "Learning a Generative Model of Human Faces Through Inverse Rendering",
    "subtitle": null,
    "abstract": "Generative models in an inverse graphics framework are appealing models for visual perception. How might childrenacquire them? We present a computational procedure for learning generative models of human faces using developmen-tally plausible input. Our statistical model of shape and appearance initially uses the average face as a template with asimple Gaussian process model of deformations. We iteratively learn the statistical distribution of faces by performinganalysis-by-synthesis on a small number of images and combine the results to construct an improved generative model.Our analysis-by-synthesis framework combines a convolutional neural network for fast inference with a Markov chainMonte Carlo process for detailed refinement. This learning strategy quickly captures the variation of natural faces anddemonstrates an efficient way to learn the distribution of faces.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Poster Session 3",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/91k0t5pc",
    "frozenauthors": [
        {
            "first_name": "Skylar",
            "middle_name": "",
            "last_name": "Sutherland",
            "name_suffix": "",
            "institution": "Massachusetts Institute of Technology",
            "department": ""
        },
        {
            "first_name": "Bernhard",
            "middle_name": "",
            "last_name": "Egger",
            "name_suffix": "",
            "institution": "Massachusetts Institute of Technology",
            "department": ""
        },
        {
            "first_name": "Josh",
            "middle_name": "",
            "last_name": "Tenenbaum",
            "name_suffix": "",
            "institution": "Massachusetts Institute of Technology",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2020-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/30043/galley/19897/download/"
        }
    ]
}