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{
    "pk": 21320,
    "title": "COGGRAPH: Building bridges between cognitive science and computer graphics",
    "subtitle": null,
    "abstract": "In recent years, the field of computer graphics has achieved its longstanding dream of photorealism: modern graphics algorithms produce images that are indistinguishable from reality. Much like art at the advent of photography, then, computer graphics is now turning its gaze to the beholder: researchers are increasingly looking to cognitive science to engineer new modes of visual expression. Recent work has sought to apply insights from cognitive science to a variety of traditional graphics topics: from taking a perceptual approach to perspective, to studying the theory of mind behind animation, to applying theories of abstraction learning to build tools for geometry processing. At the same time, a wave of recent work in cognitive science has addressed fundamental questions about visual expression: for example, how humans understand and create sketches, shapes, and symbols. The field has also benefited greatly from tools and methods from computer graphics: differentiable rendering, physics simulation, and game engines have become indispensable in modeling human perception and intuitive physics. Recognizing this growing interdisciplinary exchange of ideas, we are proposing a workshop to begin building formal bridges between the cognitive science and computer graphics communities.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Computer Science; Art and Cognition; Creativity; Human-computer interaction; Perception; Computational Modeling"
        }
    ],
    "section": "Workshops",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/10x2163k",
    "frozenauthors": [
        {
            "first_name": "Kartik",
            "middle_name": "",
            "last_name": "Chandra",
            "name_suffix": "",
            "institution": "MIT",
            "department": ""
        },
        {
            "first_name": "Anne",
            "middle_name": "H K",
            "last_name": "Harrington",
            "name_suffix": "",
            "institution": "Massachusetts Institute of Technology",
            "department": ""
        },
        {
            "first_name": "Katherine",
            "middle_name": "M",
            "last_name": "Collins",
            "name_suffix": "",
            "institution": "MIT",
            "department": ""
        },
        {
            "first_name": "Christopher",
            "middle_name": "",
            "last_name": "Kymn",
            "name_suffix": "",
            "institution": "UC Berkeley",
            "department": ""
        },
        {
            "first_name": "Kushin",
            "middle_name": "",
            "last_name": "Mukherjee",
            "name_suffix": "",
            "institution": "University of Wisconsin-Madison",
            "department": ""
        },
        {
            "first_name": "Sean",
            "middle_name": "P",
            "last_name": "Anderson",
            "name_suffix": "",
            "institution": "Stanford University",
            "department": ""
        },
        {
            "first_name": "Arnav",
            "middle_name": "",
            "last_name": "Verma",
            "name_suffix": "",
            "institution": "University of Toronto",
            "department": ""
        },
        {
            "first_name": "Judith",
            "middle_name": "E.",
            "last_name": "Fan",
            "name_suffix": "",
            "institution": "Stanford University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2024-01-01T19:00:00+01:00",
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