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arXiv · 2609.33330

FeCoSplat: Feedback-Guided Compression for Feed-Forward 3D Gaussian Splatting

Yuxuan Li·Yihang Chen·Yufeng Zhang·Jianfei Cai·Weiyao Lin
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Abstract

Feed-forward 3D Gaussian Splatting (3DGS) enables efficient novel-view synthesis from sparse multi-view images, yet its representations remain costly to store and transmit. Existing approaches compress either the input images, incurring heavy receiver-side reconstruction, or the reconstructed Gaussian primitives, which are difficult to compress due to their heterogeneous and irregular attributes. We instead compress compact intermediate features, providing a better balance between compression efficiency and receiver-side complexity. Based on this paradigm, we propose FeCoSplat, a feedback-guided compression framework for feed-forward 3DGS. FeCoSplat first compresses multi-view features to obtain an intermediate 3DGS, whose rendered views are used as feedback to guide a second-stage compression for further refinement. The resulting bitstreams are decoded into a compact implicit state, from which the final Gaussian primitives are reconstructed with a lightweight predictor. Experiments demonstrate that FeCoSplat achieves favorable rate--distortion performance, particularly at low bitrates, while requiring only 3.45M parameters for receiver-side Gaussian reconstruction. Code will be released soon.

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Yuxuan Li, Yihang Chen, Yufeng Zhang, Jianfei Cai, Weiyao Lin. 2026-09-27. FeCoSplat: Feedback-Guided Compression for Feed-Forward 3D Gaussian Splatting. https://arxiv.org/abs/2609.33330

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