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cs.CV2025
Compensating Spatiotemporally Inconsistent Observations for Online Dynamic 3D Gaussian Splatting
Youngsik Yun, Jeongmin Bae, Hyunseung Son +4
Online reconstruction of dynamic scenes is significant as it enables learning scenes from live-streaming video inputs, while existing offline dynamic reconstruction methods rely on…
cs.CV2024
Sync-NeRF: Generalizing Dynamic NeRFs to Unsynchronized Videos
Seoha Kim, Jeongmin Bae, Youngsik Yun +3
Recent advancements in 4D scene reconstruction using neural radiance fields (NeRF) have demonstrated the ability to represent dynamic scenes from multi-view videos. However, they f…
cs.CV2024
Per-Gaussian Embedding-Based Deformation for Deformable 3D Gaussian Splatting
Jeongmin Bae, Seoha Kim, Youngsik Yun +3
As 3D Gaussian Splatting (3DGS) provides fast and high-quality novel view synthesis, it is a natural extension to deform a canonical 3DGS to multiple frames for representing a dyna…