View-dependent Volume Rendering
View-Dependent Volume Rendering is a volume rendering technique that generates images of volumetric data by dynamically adjusting the rendering parameters and sampling strategies based on the current viewpoint and viewing direction to enhance visual quality and perceptual accuracy.
23
Publications
1.8K
Citations
54
Authors
16
Institutions
Publications per year
2017–2026
1
Parents
23
NeRF++: Analyzing and Improving Neural Radiance Fields
Kai Zhang, Gernot Riegler, Noah Snavely et al. · arXiv (Cornell University) · 2020 · 509 citations · Full text
View Selection for Volume Rendering
U.D. Bordoloi, Han‐Wei Shen · 2006 · 147 citations
Computing, Visualization, Rendering +14
View Selection for Volume Rendering
U.D. Bordoloi, Han‐Wei Shen · 2006 · 107 citations
Computing, Visualization, Rendering +14
Occlusion-capable multiview volumetric three-dimensional display
Oliver Cossairt, Joshua Napoli, Samuel L. Hill et al. · Applied Optics · 2007 · 105 citations
1–5 of 23
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Korea Advanced Institute of Science and Technology, South Korea
3 publications · 178 citations
3
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3
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1–5 of 54
16

Lawrence Livermore National Laboratory
Livermore, United States
6 h-index
12 publications
677 citations
University of California, Davis
Davis, United States
5 h-index
6 publications
427 citations
University of Stuttgart
Stuttgart, Germany
4 h-index
11 publications
225 citations
The Ohio State University
Columbus, United States
2 h-index
6 publications
638 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
4 publications
258 citations
Stanford Medicine
Stanford, United States
1 h-index
1 publications
17 citations

University of Electro-Communications
Tokyo, Japan
1 h-index
2 publications
68 citations

Universitat de Girona
Girona, Spain
1 h-index
4 publications
80 citations
1–8 of 16
TVCG · 4 publications · 211 citations
4
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TOG · 2 publications · 136 citations
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Repository · 2 publications · 71 citations
2
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1 publications · 15 citations
1
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Repository · 1 publications · 509 citations
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1–5