Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Seonmi Park

dblp:383/0937 · DBLP profile ↗
← Back
2ranked-venue papers
1as first author
2since 2021 · last 2026
0009-0007-8890-554XORCID · reported

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

Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 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
2 papers
Rendering · 53% Visual content generation and editing · 47%
Artificial intelligence
1 paper
Generative modeling · 100%

Topics — the 4 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Rendering
illumination
1.012026
RehearsalNeRF: Decoupling Intrinsic Neural Fields of Dynamic Illuminations for Scene Editing · Int. J. Comput. Vis. 2026
Rendering
neural radiance fields
1.012026
RehearsalNeRF: Decoupling Intrinsic Neural Fields of Dynamic Illuminations for Scene Editing · Int. J. Comput. Vis. 2026
Visual content generation and editing › scene authoring
scene editing
1.012026
RehearsalNeRF: Decoupling Intrinsic Neural Fields of Dynamic Illuminations for Scene Editing · Int. J. Comput. Vis. 2026
Machine learning › Generative modeling
diffusion model
0.212024
Kinetic Typography Diffusion Model · ECCV (34) 2024

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

diffusion model · 1.5neural field · 1.0intrinsic decomposition · 1.0
YearPublicationVenuePosition
2026 RehearsalNeRF: Decoupling Intrinsic Neural Fields of Dynamic Illuminations for Scene Editing
Changyeon Won, Jungu Cho, Seonmi Park, Hae-Gon Jeon
Int. J. Comput. Vis.4
2024 Kinetic Typography Diffusion Model
Seonmi Park, Inhwan Bae, SeungHyun Shin, Hae-Gon Jeon
ECCV (34)1