Robust, Estimator-Agnostic Dynamic 3DGS Compression
Dynamic 3D Gaussian splats (3DGS) model time-varying scenes using a separate Gaussian set per frame. While neighboring video frames are highly correlated due to smooth motion, Gaussian representations retain this correlation to varying degrees, depending on whether the estimator tracks them across time. Some 3DGS compression methods integrate the estimation to exploit temporal redundancy; here, we focus on robust compression regardless of the estimator. We concatenate groups of frames into one Gaussian set, augment each Gaussian with a frame index, and pass it to a static (i.e., non-temporal) 3DGS codec, converting temporal redundancy into spatial redundancy. Concatenated sets are spatial...
| Authors | Chenjunjie Wang, Zixi Huang, Yao Wang et al. |
|---|---|
| Primary category | eess.IV |
| Published | 22 September 2026 |
| Last updated at source | 22 September 2026 |
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