Title: GSCV: Compressing Gaussian Splatting Sequence with Video Codec
Primary area: applications to computer vision, audio, language, and other modalities
Keywords: Gaussian Splatting, Compression

Abstract: This paper presents a novel effective Gaussian Splatting (GS) sequence Compression method that utilizes the Video codec (GSCV). Existing video-based GS sequence compression relies on the Parallel Linear Assignment Sorting (PLAS) to convert GS into smooth 2D maps. Using the vanilla PLAS, however, can generate images exhibiting weak inter-frame correlation, due to its stochastic nature. GSCV incorporates a simple yet efficient Inter-PLAS method to produce close images between the I- and P-frames of GS, enhancing the inter-frame performance of video codec greatly. GSCV also realizes a new pipeline based on the state-of-the-art video codecs with high bit-depth GS images, achieving higher compressibility while simultaneously raising the upper limit of the quality. Experiment results show that the proposed GSCV exhibits evidently improved performance over MPEG video and point cloud-based anchors in GS sequence compression.