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Seon Joo Kim

3 papers indexed

arxivcs.CV2026-07-22

ATSplat: Compact Feed-forward 3D Gaussian Splatting with Adaptive Token Expansion

Cho In, Jeonghwan Cho, Mijin Yoo, Gim Hee Lee, Seon Joo Kim

3D Gaussian Splatting (3DGS) achieves high-quality novel-view synthesis by optimizing freely placed primitives in 3D and adaptively densifying them in under-reconstructed regions. However, this scene-adaptive capacity allocation is largely lost in existing feed-forward 3DGS metho…

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arxivcs.CVcs.AI2026-07-20

Coarse-to-fine Framework for Generative MEF via Implicit Neural Representation

Sangmin Han, Jinho Kim, Jinwoo Kim, Dongyoung Kim, Seon Joo Kim

Multi-exposure fusion (MEF) expands the luminance range beyond what a single exposure can capture. Combining images taken at different exposure levels requires handling geometric differences while naturally merging their complementary brightness information. It often demands gene…

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arxivcs.CVcs.GR2026-06-28

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views

Mijin Yoo, In Cho, Subin Jeon, Jiwoo Lee, Eunbyung Park, Seon Joo Kim

A 3D scene is understood through its objects, not the primitives that compose them. Yet feed-forward reconstruction methods output dense, unstructured sets of points or Gaussians, leaving object-level structure to be recovered after the fact. We propose a feed-forward framework t…

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