Browsing VMV2023 by Subject "based models"
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PlenopticPoints: Rasterizing Neural Feature Points for High-Quality Novel View Synthesis
(The Eurographics Association, 2023)This paper presents a point-based, neural rendering approach for complex real-world objects from a set of photographs. Our method is specifically geared towards representing fine detail and reflective surface characteristics ...