Reproduce “GaussianVideo: Efficient Video Representation and Compression by Gaussian Splatting” on OpenResearch

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About this paper

Inseo Lee, Youngyoon Choi, Joonseok Lee

GaussianVideo represents video with reusable 2D Gaussian primitives, whose color, position, and shape a time-conditioned multi-plane model predicts how to change. On the 640×1280 Bunny video, its 3.0M-parameter model trains in 13 minutes, decodes at 475 FPS, and uses 1.89 GB; its 34.8 dB PSNR is below SNeRV’s 40.6 dB.

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