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Seoha Kim ✿˘◡˘✿

I am a Master's graduate from Korea with a strong interest in 3D Scene Understanding, Open Vocabulary 3D Scene Graphs, 4D Reconstruction, and Robot Perception. My research interests focus on developing intelligent systems capable of perceiving and interacting with complex 3D environments.

📌 Current Research

  • 4D Action Understanding
  • 4D Reconstruction from Egocentric Video

🎓 Education

  • M.S. in Artificial Intelligence at Yonsei University 2022 - 2024
  • B.A. Double major in Business Administration and Cognitive Science at Yonsei University 2015 - 2021

📝 Publications

  • 1st Author, Per-Gaussian Embedding based Deformation for Deformable 3D Gaussian Splatting, ECCV 2024
  • 1st Author, Sync-NeRF: Generalizing Dynamic NeRFs to Unsynchronized Videos, AAAI 2024
  • Co-Author, Rethinking Open-Vocabulary Segmentation of Radiance Fields in 3D Space, Preprint

Sara's Projects

4dgaussians icon 4dgaussians

4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

awesome-3d-gaussian-splatting icon awesome-3d-gaussian-splatting

Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

directvoxgo icon directvoxgo

Direct voxel grid optimization for fast radiance field reconstruction.

dust3r icon dust3r

DUSt3R: Geometric 3D Vision Made Easy

e-d3dgs icon e-d3dgs

[ECCV 2024] Official repository for "Per-Gaussian Embedding-Based Deformation for Deformable 3D Gaussian Splatting"

gaussian-splatting icon gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

open3drf icon open3drf

Official repository for "Rethinking Open-Vocabulary Segmentation of Radiance Fields in 3D Space"

sync-4drf icon sync-4drf

Website for "Optimizing dynamic NeRF and 3DGS with No Video Synchronization"

sync-nerf icon sync-nerf

[AAAI 2024] Official repository for "Sync-NeRF: Generalizing Dynamic NeRFs to Unsynchronized Videos"

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