collaborators

5 papers

cs.AR2025

Nebula: Enable City-Scale 3D Gaussian Splatting in Virtual Reality via Collaborative Rendering and Accelerated Stereo Rasterization

He Zhu, Zheng Liu, Xingyang Li +6

3D Gaussian splatting (3DGS) has drawn significant attention in the architectural community recently. However, current architectural designs often overlook the 3DGS scalability, ma…

cs.GR2025

SeeLe: A Unified Acceleration Framework for Real-Time Gaussian Splatting

Xiaotong Huang, He Zhu, Zihan Liu +6

3D Gaussian Splatting (3DGS) has become a crucial rendering technique for many real-time applications. However, the limited hardware resources on today's mobile platforms hinder th…

cs.AR2025

Splatonic: Architecture Support for 3D Gaussian Splatting SLAM via Sparse Processing

Xiaotong Huang, He Zhu, Tianrui Ma +8

3D Gaussian splatting (3DGS) has emerged as a promising direction for SLAM due to its high-fidelity reconstruction and rapid convergence. However, 3DGS-SLAM algorithms remain impra…

cs.GR2025

Voyager: Real-Time Splatting City-Scale Gaussians on Resource-Constrained Devices

Zheng Liu, He Zhu, Xinyang Li +7

3D Gaussian splatting (3DGS) is an emerging technique for photorealistic 3D scene rendering. However, rendering city-scale 3DGS scenes on resource-constrained mobile devices in rea…

cs.CV2025

4DNeX: Feed-Forward 4D Generative Modeling Made Easy

Zhaoxi Chen, Tianqi Liu, Long Zhuo +6

We present 4DNeX, the first feed-forward framework for generating 4D (i.e., dynamic 3D) scene representations from a single image. In contrast to existing methods that rely on comp…