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Jin-Hwa Kim

4 papers hereh-index 13 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Jin-Hwa Kim — 9 papers, h 17
  • Jin-Hwa Kim — 6 papers
  • Jin-Hwa Kim — 6 papers, h 3
  • Jin-Hwa Kim — 4 papers, h 2
  • Jin-Hwa Kim — 3 papers, h 1
  • Jin-Hwa Kim — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CV2026

ArtSplat: Feed-Forward Articulated 3D Gaussian Splatting from Sparse Multi-State Uncalibrated Views

Inseo Lee, Yoonji Kim, Eugene Sohn +4

Articulated object reconstruction from sparse-view images is an ill-posed problem that requires simultaneous inference of geometry and underlying articulation structure. Existing m…

cs.CV2026

Kinematics-Driven Gaussian Shape Deformation for Blurry Monocular Dynamic Scenes

Yeon-Ji Song, Kiyoung Kwon, Junoh Lee +2

Reconstructing dynamic 3D scenes from blurry monocular videos is challenging as motion-induced blur entangles object motion and geometry, hindering geometric consistency. We presen…

cs.CV2026

Relaxed Rigidity with Ray-based Grouping for Dynamic Gaussian Splatting

Junoh Lee, Junmyeong Lee, Yeon-Ji Song +4

The reconstruction of dynamic 3D scenes using 3D Gaussian Splatting has shown significant promise. A key challenge, however, remains in modeling realistic motion, as most methods f…

cs.CV2024

Surface-Based Visibility-Guided Uncertainty for Continuous Active 3D Neural Reconstruction

Hyunseo Kim, Hyeonseo Yang, Taekyung Kim +4

View selection is critical in active 3D neural reconstruction as it impacts the contents of training set and resulting final output quality. Recent view selection strategies emphas…

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