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Novel View Synthesis of Human Interactions From Sparse Multi-view Videos
Research & Education
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DescriptionThis paper presents a novel system for generating editable, free-viewpoint videos of multiple human performers from very sparse RGB cameras. The system is able to decompose the scene into different layers without instance segmentation as input and reconstruct a layered neural representation to enable novel view synthesis and scene editing.