Codec-Compatible Learned Compression for 3D Gaussian Splatting
Video-based 3D Gaussian Splatting (3DGS) compression methods provide a practical route by representing Gaussian attributes as 2D maps and coding them with standard video codecs. Among these maps, high-dimensional non-DC spherical harmonics (SH-AC) maps contain the largest number of channels and account for a dominant portion of the bitstream. However, their statistics differ substantially from those of natural images, and the nonlinear dependencies among SH-AC coefficients remain insufficiently exploited. To address these issues, we propose CCT-GS, a Codec-Compatible learned Transform framework for 3DGS compression. CCT-GS first learns a generalized SH-AC transform that captures cross-sce...
| Authors | Feiyang Yu, Qi Yang, Wenjie Huang et al. |
|---|---|
| Primary category | eess.IV |
| Published | 17 October 2026 |
| Last updated at source | 17 October 2026 |
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