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Pierre Hubert-briere

dblp:441/1132 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Geometric modeling and processing · 54% Rendering · 46%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing
implicit surface
1.012026
The PhaseTree: Multiphase Signed Distance Fields · ACM Trans. Graph. 2026
Rendering
ray tracing
1.012026
The PhaseTree: Multiphase Signed Distance Fields · ACM Trans. Graph. 2026
Geometric modeling and processing › shape representation › implicit representation
signed distance function
1.012026
The PhaseTree: Multiphase Signed Distance Fields · ACM Trans. Graph. 2026
Rendering › ray tracing
sphere tracing
1.012026
The PhaseTree: Multiphase Signed Distance Fields · ACM Trans. Graph. 2026
Geometric modeling and processing › shape modeling
volumetric modeling
0.312026
The PhaseTree: Multiphase Signed Distance Fields · ACM Trans. Graph. 2026

Methods — techniques the papers use, named apart from their topics

construction tree · 1.0composition and warping operators · 1.0
YearPublicationVenuePosition
2026 The PhaseTree: Multiphase Signed Distance Fields
abstract
We introduce the PhaseTree, a novel hierarchical construction-tree representation for compactly modeling volumetric objects composed of multiple phases or materials across scales. An object is defined as a single construction tree that combines phase-aware primitives through composition and warping operators, yielding a unified multiphase signed distance representation that naturally supports complex topologies and interfaces between phases. The PhaseTree is compatible with standard signed distance field workflows: single-phase algorithms can be directly promoted to a PhaseTree, and conversely reduced without loss of information. As a result, our model integrates seamlessly with existing algorithms and rendering pipelines. We extend classical Sphere Tracing to robustly handle multiphase configurations and show that, despite the additional expressiveness, our implementation preserves the compactness and resolution independence of signed distance fields and incurs less than a 25% runtime overhead compared to single-phase Sphere Tracing.
Eric Galin, Pierre Hubert-briere, Marie-Paule Cani, Adrien Peytavie, Eric Guérin, Hugo Schott
ACM Trans. Graph.2