collaborators

5 papers

cs.GR2025

PowerGS: Display-Rendering Power Co-Optimization for Neural Rendering in Power-Constrained XR Systems

Weikai Lin, Sushant Kondguli, Carl Marshall +1

3D Gaussian Splatting (3DGS) combines classic image-based rendering, pointbased graphics, and modern differentiable techniques, and offers an interesting alternative to traditional…

cs.AR2025

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy

Yu Feng, Weikai Lin, Yuge Cheng +6

3D Gaussian Splatting (3DGS) has vastly advanced the pace of neural rendering, but it remains computationally demanding on today's mobile SoCs. To address this challenge, we propos…

cs.CV2025

SnapPix: Efficient-Coding--Inspired In-Sensor Compression for Edge Vision

Weikai Lin, Tianrui Ma, Adith Boloor +4

Energy-efficient image acquisition on the edge is crucial for enabling remote sensing applications where the sensor node has weak compute capabilities and must transmit data to a r…

cs.AR2025

StreamGrid: Streaming Point Cloud Analytics via Compulsory Splitting and Deterministic Termination

Yu Feng, Zheng Liu, Weikai Lin +6

Point clouds are increasingly important in intelligent applications, but frequent off-chip memory traffic in accelerators causes pipeline stalls and leads to high energy consumptio…

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…