A LIGHTWEIGHT HYBRID REPRESENTATION FOR VIRTUAL COMPLEX SCENES

被引:0
|
作者
Shao, Shuai [1 ]
Jin, Xin [1 ]
机构
[1] Tsinghua Univ, Shenzhen Int Grad Sch, Shenzhen 518055, Peoples R China
关键词
Lightweight representation; shape modeling; hybrid rendering; real-time rendering; deep learning; FIELDS;
D O I
10.1109/ICIP49359.2023.10222844
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
While virtual scenes with complex geometries and high-resolution physically based rendering(PBR) material textures are capable of representing details, they often occupy a large amount of memory and require significant manual editing by artists. In this paper, we introduce a new framework for representing virtual scenes more efficiently. Our framework utilizes a lightweight hybrid representation that combines traditional polygon-based meshes and material textures with learned neural textures. By using simplified geometries and lower-resolution PBR material textures, our representation achieves a compact size while maintaining the freedom for user-friendly scene editing of materials and illuminations. Additionally, we have designed a hybrid rendering pipeline to render the lightweight representation with ray-traced visual quality at real-time frame rates. Our approach reduces memory requirements, eliminates the need for manual editing, and is easy to train. We demonstrate the effectiveness of our framework on a variety of virtual complex scenes.
引用
收藏
页码:2875 / 2879
页数:5
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