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Dong-Ha Shin

dblp:410/1032 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0001-5470-2137ORCID · reported

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
Rendering · 60% Geometric modeling and processing · 20% Computational photography and imaging · 20%

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

TopicWeightPapersLastEvidence papers
Geometric modeling and processing
3d scene representation
1.012026
Complex-Valued Holographic Radiance Fields · ACM Trans. Graph. 2026
Rendering › physically based rendering › wave optics rendering › computer-generated holography
holographic rendering
1.012026
Complex-Valued Holographic Radiance Fields · ACM Trans. Graph. 2026
Computational photography and imaging
holography
1.012026
Complex-Valued Holographic Radiance Fields · ACM Trans. Graph. 2026
Rendering
physically based rendering
1.012026
Complex-Valued Holographic Radiance Fields · ACM Trans. Graph. 2026
Rendering › neural rendering
radiance field
1.012026
Complex-Valued Holographic Radiance Fields · ACM Trans. Graph. 2026

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

multi-view optimization · 1.0complex-valued gaussian primitives · 1.0
YearPublicationVenuePosition
2026 Complex-Valued Holographic Radiance Fields
abstract
Modeling wave properties of light is an important milestone for advancing physically-based rendering. In this paper, we propose complex-valued holographic radiance fields, a method that optimizes scenes without relying on intensity-based intermediaries. By leveraging multi-view images, our method directly optimizes a scene representation using complex-valued Gaussian primitives representing amplitude and phase values aligned with the scene geometry. Our approach eliminates the need for computationally expensive holographic rendering that typically utilizes a single view of a given scene. This accelerates holographic rendering speed by 30x-10,000x while achieving on-par image quality with state-of-the-art holography methods, representing a promising step towards bridging the representation gap between modeling wave properties of light and 3D geometry of scenes.
Yicheng Zhan, Dong-Ha Shin, Seung-Hwan Baek, Kaan Aksit
ACM Trans. Graph.2