27 citations · 27 across the 11 of their papers we have counts for
6 papers · 1 filter
MetaSapiens v2: Advancing Real-Time Foveated Neural Rendering via Foveation-Aware Pruning and Stereo Warping
Weikai Lin, Yu Feng
Point-Based Neural Rendering (PBNR) is emerging as a promising class of rendering techniques, which are permeating all aspects of society, driven by a growing demand for real-time,…
LowPowAR: Power-Constrained Tone Mapping for Augmented Reality
Weikai Lin, Sheng Zhao, Ian Ross +3
Everyday-wearable Augmented Reality (AR) glasses must meet strict power limits, making displays a key target for optimization. We cast display power optimization as a power-constra…
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…
ControlHair: Synergizing Physics Simulator and Video Diffusion for Controllable Dynamic Hair Rendering
Weikai Lin, Haoxiang Li, Yuhao Zhu
Hair simulation and rendering are challenging due to complex strand dynamics, diverse material properties, and intricate light-hair interactions. Recent video diffusion models can…
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…
MetaSapiens: Real-Time Neural Rendering with Efficiency-Aware Pruning and Accelerated Foveated Rendering
Weikai Lin, Yu Feng, Yuhao Zhu
Point-Based Neural Rendering (PBNR) is emerging as a promising class of rendering techniques, which are permeating all aspects of society, driven by a growing demand for real-time,…