3 papers
cs.SD2026
Switchcodec: Adaptive residual-expert sparse quantization for high-fidelity neural audio coding
Xiangbo Wang, Wenbin Jiang, Jin Wang +3
Recent neural audio compression models often rely on residual vector quantization for high-fidelity coding, but using a fixed number of per-frame codebooks is suboptimal for the wi…
cs.SD2026
SwitchCodec: A High-Fidelity Nerual Audio Codec With Sparse Quantization
Jin Wang, Wenbin Jiang, Xiangbo Wang +2
Neural audio compression has emerged as a promising technology for efficiently representing speech, music, and general audio. However, existing methods suffer from significant perf…
cs.CV2026
SR3R: Rethinking Super-Resolution 3D Reconstruction With Feed-Forward Gaussian Splatting
Xiang Feng, Xiangbo Wang, Tieshi Zhong +7
3D super-resolution (3DSR) aims to reconstruct high-resolution (HR) 3D scenes from low-resolution (LR) multi-view images. Existing methods rely on dense LR inputs and per-scene opt…