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Updated: Jan 10, 2026

Photorealistic Learned Landscapes for Augmented Reality
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Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

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通过物理失焦建模和多视图几何监视来进行深度一致的3D高斯裂纹.

Yu Deng1, Baozhu Zhao1, Junyan Su1

  • 1Department of Future Technology, South China University of Technology, Guangzhou, 511400, China.

Neural networks : the official journal of the International Neural Network Society
|November 20, 2025
PubMed
概括

这项研究引入了3D重建的新框架,在具有不同距离的具有挑战性的场景中提高了深度准确性. 该方法通过使用深度和多视图一致性来增强3D高斯斯普拉丁,以获得更好的场景表示.

关键词:
3D场景重建3D场景重建现场深度 现场深度 现场深度可差异化的染.新视图综合的新视图综合

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Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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