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ExGS: Extreme 3D Gaussian Compression with Diffusion Priors

Paper Project Page License: MIT


🔥 News

  • [2025-09] Our paper "ExGS: Extreme 3D Gaussian Compression with Diffusion Priors" is released!
  • Code and pretrained models will be available soon. Stay tuned!

📖 Overview

ExGS is a novel feed-forward framework for 3D Gaussian Splatting (3DGS) compression that achieves:

  • Extreme compression (over 100× reduction in storage size).
  • High rendering fidelity, preserving fine geometry and texture.
  • Fast inference, suitable for real-time rendering.
Image
Qualitative comparison under different compression ratios.

🚀 Coming Soon

The official implementation (PyTorch) and pretrained models are being prepared.
We will release:

  • Training code
  • Inference pipeline
  • Pretrained checkpoints
  • Evaluation scripts

Stay tuned! ⭐ Watch this repo to get notified.

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