SplineGS: Learning Smooth Trajectories in Gaussian Splatting for Dynamic Scene Reconstruction
Jihwan Yoon, Sangbeom Han, Jaeseok Oh, Minsik Lee
2025年份
2顶会引用
摘要
Jumping jacks (b) Stand up (c) NURBS Figure 1: We propose SplineGS, which represents the trajectories in Gaussian splatting using nonuniform rational B-spline (NURBS) to reconstruct dynamic scenes. The learned trajectories are shown with rendering results in (a) and (b). (c) shows an example of a trajectory based on NURBS.
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引用它的顶会 Paper2
- DenoiseGS: Delta-Based 3D Gaussian Splatting with B-spline Trajectory Optimization for Dynamic Driving Scene ReconstructionJunjie Linghu, Qiang LingAAAI 2026
- SmoothMotionVectors: Optimizing Your Content for Video Codecs in Free View Video CompressionMingyang Song, Yang Zhang, Siyu Tang, Tunç Ozan AydinSIGGRAPH 2026
它引用的顶会 Paper19
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