Hyeseong Kim — accepted AI-conference papers

2026

TWINGS: Thin Plate Splines Warp-aligned Initialization for Sparse-View Gaussian Splatting

Hyeseong Kim, Geonhui Son, Deukhee Lee, Dosik Hwang

CVPR 2026

Novel view synthesis from sparse-view inputs poses a significant challenge in 3D computer vision, particularly for achieving high-quality scene reconstructions with limited viewpoints. We introduce TWINGS, a framework that enhances 3D Gaussian Splatting (3DGS) by directly addressing point sparsity.

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2025

AeSPa : Attention-guided Self-supervised Parallel Imaging for MRI Reconstruction

Jinho Joo, Hyeseong Kim, Hyeyeon Won, Deukhee Lee, Taejoon Eo, Dosik Hwang

CVPR 2025poster

This study introduces a novel zero-shot scan-specific self-supervised reconstruction method for magnetic resonance imaging (MRI) to reduce scan times. Conventional supervised reconstruction methods require large amounts of fully-sampled reference data, which is often impractical to obtain and can le…

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