BriefGPT.xyz
May, 2022
非监督式物体光场的发现与合成
Unsupervised Discovery and Composition of Object Light Fields
HTML
PDF
Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Fredo Durand, Joshua B. Tenenbaum...
TL;DR
本文提出了一种基于光场的物体中心化组合场景表示法,通过无监督的方式学习神经场景表示,显著提高了场景渲染的速度和质量。
Abstract
neural scene representations
, both continuous and discrete, have recently emerged as a powerful new paradigm for 3D scene understanding. Recent efforts have tackled unsupervised discovery of
object-centric
→