The paper proposed a way of modeling interactive objects in a large-scale 3D space by making affordance predictions and inferring the articulation properties from the visual observations before and after the self-driven interaction.

This paper proposes a two-stage localization mechanism in city-scale NeRF.

This is a summary for paper “NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis”.
Keywords: scene representation, view synthesis, image-based rendering, volume rendering, 3D deep learning

本笔记主要记录清华大学管理学系列讲座相关笔记。

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Latex testsHere are various LaTeX formulas to test rendering capabilities: Inline FormulasEinstein’s famous equation:...