12 papers
AudioGS: Spectrogram-Based Audio Gaussian Splatting for Sound Field Reconstruction
Chunhao Bi, Houqiang Zhong, Zhixin Xu +2
Spatial audio is fundamental to immersive virtual experiences, yet synthesizing high-fidelity binaural audio from sparse observations remains a significant challenge. Existing meth…
DP-DeGauss: Dynamic Probabilistic Gaussian Decomposition for Egocentric 4D Scene Reconstruction
Tingxi Chen, Zhengxue Cheng, Houqiang Zhong +3
Egocentric video is crucial for next-generation 4D scene reconstruction, with applications in AR/VR and embodied AI. However, reconstructing dynamic first-person scenes is challeng…
Constrained Dynamic Gaussian Splatting
Zihan Zheng, Zhenglong Wu, Xuanxuan Wang +5
While Dynamic Gaussian Splatting enables high-fidelity 4D reconstruction, its deployment is severely hindered by a fundamental dilemma: unconstrained densification leads to excessi…
MultiEgo: A Multi-View Egocentric Video Dataset for 4D Scene Reconstruction
Bate Li, Houqiang Zhong, Zhengxue Cheng +4
Multi-view egocentric dynamic scene reconstruction holds significant research value for applications in holographic documentation of social interactions. However, existing reconstr…
AlignGS: Aligning Geometry and Semantics for Robust Indoor Reconstruction from Sparse Views
Yijie Gao, Houqiang Zhong, Tianchi Zhu +3
The demand for semantically rich 3D models of indoor scenes is rapidly growing, driven by applications in augmented reality, virtual reality, and robotics. However, creating them f…
PrismGS: Physically-Grounded Anti-Aliasing for High-Fidelity Large-Scale 3D Gaussian Splatting
Houqiang Zhong, Zhenglong Wu, Sihua Fu +5
3D Gaussian Splatting (3DGS) has recently enabled real-time photorealistic rendering in compact scenes, but scaling to large urban environments introduces severe aliasing artifacts…