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ISSCC 2025Session 2 · PROCESSORSDigital Processors

IRIS: A 8.55mJ/frame Spatial Computing SoC for Interactable Rendering and Surface-Aware Modeling with 3D Gaussian Splatting

⚡ 本页包含 AI 生成的分析内容,仅供参考

📋 论文概要

本文提出IRIS,一款用于空间计算的SoC,支持基于3D高斯溅射的交互式逼真渲染和表面感知建模,解决了NeRF加速器无法支持表面提取和变形的问题,实现了8.55mJ/frame的低功耗性能。

💡 主要创新点

核心指标
8.55mJ/frame
重要性
发表年份
ISSCC 2025

🏷 关键词

空间计算SoC3D高斯溅射交互式渲染表面感知建模低功耗

📄 原文摘要

applications, which demand a real-time and user-interactive 3D graphics system [1-3]. This requires real-time surface-aware modeling (SAM) to transfer a physical object to the virtual world, and interactive photorealistic rendering (IPR) is required to present the deformed virtual 3D object, as shown in Fig. 2.7.1 [4-5]. Neural Radiance Field (NeRF) accelerators [7-8] are unable to realize ISC since they cannot support surface extraction and deformation [9]. 3D Gaussian Splatting (3DGS) with free-deforming algorithms [10-11] enables high-quality rendering for deformed objects, but its realization on a high-power-consumption (>5W) edge GPU [12] requires >20minutes for SAM and >400ms for IPR due to its massive external memory access (EMA) and huge computational requirements. In general, there are

👥 作者与机构

Seokchan Song, Seryeong Kim, Wonhoon Park, Jongjun Park, Sanghyuk An,

Gwangtae Park, Minseo Kim, Hoi-Jun Yoo KAIST, Daejeon, Korea Interactive Spatial Computing (ISC) enables immersive mixed reality (MR)

分类:Digital Processors · 年份:ISSCC 2025