AI RESEARCH
STGV: Spatio-Temporal Hash Encoding for Gaussian-based Video Representation
arXiv CS.CV
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ArXi:2604.10910v1 Announce Type: new 2D Gaussian Splatting (2DGS) has recently become a promising paradigm for high-quality video representation. However, existing methods employ content-agnostic or spatio-temporal feature overlapping embeddings to predict canonical Gaussian primitive deformations, which entangles static and dynamic components in videos and prevents modeling their distinct properties effectively. These result in inaccurate predictions for spatio-temporal deformations and unsatisfactory representation quality.