8 citations · 9 across the 14 of their papers we have counts for
12 papers · 1 filter
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, Zhenlong Wu, Zhenglong Wu +6
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…
4DGCPro: Efficient Hierarchical 4D Gaussian Compression for Progressive Volumetric Video Streaming
Zihan Zheng, Zhenlong Wu, Houqiang Zhong +7
Achieving seamless viewing of high-fidelity volumetric video, comparable to 2D video experiences, remains an open challenge. Existing volumetric video compression methods either la…
4D-MoDe: Towards Editable and Scalable Volumetric Streaming via Motion-Decoupled 4D Gaussian Compression
Houqiang Zhong, Zihan Zheng, Qiang Hu +7
Volumetric video has emerged as a key medium for immersive telepresence and augmented/virtual reality, enabling six-degrees-of-freedom (6DoF) navigation and realistic spatial inter…
4DGC: Rate-Aware 4D Gaussian Compression for Efficient Streamable Free-Viewpoint Video
Qiang Hu, Zihan Zheng, Houqiang Zhong +5
3D Gaussian Splatting (3DGS) has substantial potential for enabling photorealistic Free-Viewpoint Video (FVV) experiences. However, the vast number of Gaussians and their associate…
Serial Low-rank Adaptation of Vision Transformer
Houqiang Zhong, Shaocheng Shen, Ke Cai +7
Fine-tuning large pre-trained vision foundation models in a parameter-efficient manner is critical for downstream vision tasks, considering the practical constraints of computation…
A New People-Object Interaction Dataset and NVS Benchmarks
Shuai Guo, Houqiang Zhong, Qiuwen Wang +6
Recently, NVS in human-object interaction scenes has received increasing attention. Existing human-object interaction datasets mainly consist of static data with limited views, off…
HPC: Hierarchical Progressive Coding Framework for Volumetric Video
Zihan Zheng, Houqiang Zhong, Qiang Hu +4
Volumetric video based on Neural Radiance Field (NeRF) holds vast potential for various 3D applications, but its substantial data volume poses significant challenges for compressio…
JointRF: End-to-End Joint Optimization for Dynamic Neural Radiance Field Representation and Compression
Zihan Zheng, Houqiang Zhong, Qiang Hu +4
Neural Radiance Field (NeRF) excels in photo-realistically static scenes, inspiring numerous efforts to facilitate volumetric videos. However, rendering dynamic and long-sequence r…