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• W4386076419 abstract "We present Neural Pixel Composition (NPC), a novel approach for continuous 3D-4D view synthesis given a discrete set of multi-view observations as input. Existing state-of-the-art approaches require dense multi-view supervision and an extensive computational budget. The proposed formulation reliably operates on sparse and wide-baseline multi-view images/videos and can be trained efficiently within a few seconds to 10 minutes for hi-res (12MP) content. Crucial to our approach are two core novelties: 1) a representation of a pixel that contains color and depth information accumulated from multi-views for a particular location and time along a line of sight, and 2) a multi-layer perceptron (MLP) that enables the composition of this rich information provided for a pixel location to obtain the final color output. We experiment with a large variety of multi-view sequences, compare to existing approaches, and achieve better results in diverse and challenging settings." @default.
• W4386076419 created "2023-08-23" @default.
• W4386076419 creator A5042299226 @default.
• W4386076419 creator A5044917356 @default.
• W4386076419 date "2023-06-01" @default.
• W4386076419 modified "2023-09-27" @default.
• W4386076419 title "Neural Pixel Composition for 3D-4D View Synthesis from Multi-Views" @default.
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• W4386076419 doi "https://doi.org/10.1109/cvpr52729.2023.00036" @default.
• W4386076419 hasPublicationYear "2023" @default.
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