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Hesai’s Kosmo Demonstrates Real-World 3D Capture in Pixar RenderMan Tutorial

1 reports 1 reporting sources 3 hours agoNew

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Hesai’s Kosmo spatial capture system appears in a Pixar RenderMan tutorial demonstrating how real-world 3D Gaussian splatting data can be used in rendering workflows. Kosmo One synchronizes lidar, imagery and inertial measurement unit (IMU) readings, then sends them for cloud reconstruction through Kosmo Spatial Core, which outputs 3D Gaussian splatting, mesh and depth data. Hesai says scanning a roughly 100-square-meter space takes 15–20 minutes. QbitAI also describes semantic segmentation and AI completion of unscanned areas as capabilities for producing robot training data, connecting the platform’s scene-capture workflow to physical AI applications.

Generated by AI from reports · Updated 2 hours ago

Latest development10/27 17:54 (UTC+8)
How Hesai’s Kosmo captures 3D scenes for Pixar workflows and physical AI量子位

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10/27
  1. 量子位
    How Hesai’s Kosmo captures 3D scenes for Pixar workflows and physical AI

    Hesai’s Kosmo spatial capture system features in a Pixar RenderMan tutorial demonstrating workflows with real-world 3D Gaussian splatting data. The article explains how Kosmo One synchronizes lidar, imagery, and IMU readings before cloud reconstruction through Kosmo Spatial Core, which outputs 3DGS, mesh, and depth data. Hesai says scanning a roughly 100-square-meter space takes 15–20 minutes; the article also describes semantic segmentation and AI completion of unscanned areas for robot training data.

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