Real-Time Isosurface Extraction With View-Dependent Level of Detail and Applications

2014 ◽  
Vol 34 (1) ◽  
pp. 103-115 ◽  
Author(s):  
Manuel Scholz ◽  
Jan Bender ◽  
Carsten Dachsbacher
Keyword(s):  
Real Time ◽  
Level Of Detail ◽  
Isosurface Extraction

scholarly journals Texture Level of Detail Strategies for Real-Time Ray Tracing

2019 ◽  
pp. 321-345 ◽  
Author(s):  
Tomas Akenine-Möller ◽  
Jim Nilsson ◽  
Magnus Andersson ◽  
Colin Barré-Brisebois ◽  
Robert Toth ◽  
...  
Keyword(s):  
Real Time ◽  
Ray Tracing ◽  
Level Of Detail

scholarly journals Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes

2021 ◽  
Author(s):  
Towaki Takikawa ◽  
Joey Litalien ◽  
Kangxue Yin ◽  
Karsten Kreis ◽  
Charles Loop ◽  
...  
Keyword(s):  
Real Time ◽  
Level Of Detail ◽  
3D Shapes

scholarly journals Real-Time Large Crowd Rendering with Efficient Character and Instance Management on GPU

2019 ◽  
Vol 2019 ◽  
pp. 1-15
Author(s):  
Yangzi Dong ◽  
Chao Peng
Keyword(s):  
Real Time ◽  
Visual Quality ◽  
Level Of Detail ◽  
Experimental Results ◽  
Visual Appearance ◽  
Fine Grained ◽  
Individual Character ◽  
Visibility Culling ◽  
Rendering Techniques

Achieving the efficient rendering of a large animated crowd with realistic visual appearance is a challenging task when players interact with a complex game scene. We present a real-time crowd rendering system that efficiently manages multiple types of character data on the GPU and integrates seamlessly with level-of-detail and visibility culling techniques. The character data, including vertices, triangles, vertex normals, texture coordinates, skeletons, and skinning weights, are stored as either buffer objects or textures in accordance with their access requirements at the rendering stage. Our system preserves the view-dependent visual appearance of individual character instances in the crowd and is executed with a fine-grained parallelization scheme. We compare our approach with the existing crowd rendering techniques. The experimental results show that our approach achieves better rendering performance and visual quality. Our approach is able to render a large crowd composed of tens of thousands of animated instances in real time by managing each type of character data in a single buffer object.

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