Signed Distance Fields
Signed Distance Fields is a mathematical representation that encodes the shortest distance from any point in space to the boundary of a shape, with the sign indicating whether the point lies inside or outside the shape, serving as a foundational construct for efficient and high-quality procedural graphics and shader-based rendering.
147
Publications
7.9K
Citations
451
Authors
173
Institutions
Publications per year
2017–2026
90
Variants
Sdfs
147
EGO-Planner: An ESDF-Free Gradient-Based Local Planner for Quadrotors
Xin Zhou, Zhepei Wang, Hongkai Ye et al. · IEEE Robotics and Automation Letters · 2020 · 460 citations
Ayush Tewari, Justus Thies, Ben Mildenhall et al. · Computer Graphics Forum · 2022 · 323 citations
1–5 of 147
451
5
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5
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National Institute of Advanced Industrial Science and Technology, Japan
5 publications · 179 citations
5
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4
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4
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1–5 of 451
173
Technical University of Munich
Munich, Germany
11 h-index
30 publications
1.9K citations
ETH Zurich
Zurich, Switzerland
7 h-index
19 publications
4.1K citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
13 publications
723 citations

Technische Universität Darmstadt
Darmstadt, Germany
6 h-index
16 publications
551 citations

University of Toronto
Toronto, Canada
6 h-index
11 publications
580 citations

Zhejiang University
Hangzhou, China
6 h-index
20 publications
761 citations

National Institute of Advanced Industrial Science and Technology
Tsukuba, Japan
5 h-index
5 publications
174 citations
Adobe Systems (United States)
San Jose, United States
5 h-index
6 publications
687 citations
1–8 of 173
TOG · 9 publications · 545 citations
9
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Repository · 7 publications · 405 citations
7
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5 publications · 614 citations
5
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5 publications · 665 citations
5
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Conference · 4 publications · 171 citations
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1–5