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arXiv · 2502.19873

NeRFCom: Feature Transform Coding Meets Neural Radiance Field for Free-View 3D Scene Semantic Transmission

Weijie Yue·Zhongwei Si·Bolin Wu·Sixian Wang·Xiaoqi Qin·Kai Niu·Jincheng Dai·Ping Zhang
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Abstract

We introduce NeRFCom, a novel communication system designed for end-to-end 3D scene transmission. Compared to traditional systems relying on handcrafted NeRF semantic feature decomposition for compression and well-adaptive channel coding for transmission error correction, our NeRFCom employs a nonlinear transform and learned probabilistic models, enabling flexible variable-rate joint source-channel coding and efficient bandwidth allocation aligned with the NeRF semantic feature's different contribution to the 3D scene synthesis fidelity. Experimental results demonstrate that NeRFCom achieves free-view 3D scene efficient transmission while maintaining robustness under adverse channel conditions.

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Weijie Yue, Zhongwei Si, Bolin Wu, Sixian Wang, Xiaoqi Qin, Kai Niu, Jincheng Dai, Ping Zhang. 2025-02-27. NeRFCom: Feature Transform Coding Meets Neural Radiance Field for Free-View 3D Scene Semantic Transmission. https://arxiv.org/abs/2502.19873

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