27 citations · 27 across the 11 of their papers we have counts for
15 papers
GLoD-LVSM: Learning Geometry-Grounded Continuous-LoD Scene Representations for Large View Synthesis Models
Weikai Lin, Nicholas Milef, Carl S Marshall +3
Large view synthesis models (LVSMs) reconstruct scenes from sparse views and render novel views quickly, but they incur unnecessary storage and rendering costs due to token redunda…
GazeFlow: From Human Gaze Behavior to Generative Egocentric Gaze Prediction
Sheng Zhao, Weikai Lin, Yuhao Zhu
Egocentric gaze prediction enables many downstream applications but remains challenging, as human gaze is inherently stochastic. This stochasticity is constrained by structured tem…
Multidimensional Observer Model and Perceptual Dimensions of Human Image Quality Assessment
Sheng Zhao, Weikai Lin, Yuhao Zhu
Judging image quality is not only ecologically relevant to everyday human tasks, but also underpins many machine vision tasks such as image generation. This paper proposes a framew…
ControlGS: Conditioning Neural Gaussians for Downstream-Processing-Aware XR Rendering
Weikai Lin, Junjie Zhao, Carl Marshall +2
Extended Reality (XR) users do not directly perceive the output of a rendering engine. Instead, rendered images pass through a post-processing pipeline and the physical display-opt…
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…
SafeDream: Safety World Model for Proactive Early Jailbreak Detection
Bo Yan, Weikai Lin, Yada Zhu +1
Multi-turn jailbreak attacks progressively erode LLM safety alignment across seemingly innocuous conversation turns, achieving success rates exceeding 90% against state-of-the-art…
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…
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…
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…
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…
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…
Potamoi: Accelerating Neural Rendering via a Unified Streaming Architecture
Yu Feng, Weikai Lin, Zihan Liu +6
Neural Radiance Field (NeRF) has emerged as a promising alternative for photorealistic rendering. Despite recent algorithmic advancements, achieving real-time performance on today'…
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,…