Quanta AI Labs

Simon Fraser University / Wayve · 3D Reconstruction

CLiFT: Compressive Light-Field Tokens

Neural rendering approach that represents 3D scenes as compressed light-field tokens enabling adaptive rendering with configurable compute budgets. Uses multi-view encoding, latent K-means clustering, and neural condensation to achieve efficient novel view synthesis with flexible trade-offs between speed, storage, and quality.

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