activity
20242026
collaborators

9 papers

cs.CV2026

Glass Surface Detection Grounded in 3D Visual Geometry

Yiwei Lu, Ke Xu, Tao Yan +3

Glass surface detection (GSD) is critical for scene understanding and reconstruction, and yet remains challenging due to the transparency and reflectivity of glass surfaces. Existi…

cs.CV2026

GuideMe: Multi-Domain Task Guidance and Intervention in Streaming Video

Fang Liu, Jinpeng Chen, Ke Xu +7

While multimodal Large Language Models (MLLMs) excel at offline video understanding, an interesting question of how far they are from serving as a real-time procedural coach remain…

cs.CV2026

TurboGS: Accelerating 3D Gaussian Splatting via Error-Guided Sparse Pixel Sampling and Optimization

Zheng Dong, Daifei Qiu, Pinxuan Dai +5

Consumer-level applications require fast optimization of 3D Gaussian Splatting (3DGS) with high-fidelity novel view rendering. However, existing 3DGS acceleration approaches still…

cs.GR2025

SeHDR: Single-Exposure HDR Novel View Synthesis via 3D Gaussian Bracketing

Yiyu Li, Haoyuan Wang, Ke Xu +2

This paper presents SeHDR, a novel high dynamic range 3D Gaussian Splatting (HDR-3DGS) approach for generating HDR novel views given multi-view LDR images. Unlike existing methods…

cs.CV2025

StyleSculptor: Zero-Shot Style-Controllable 3D Asset Generation with Texture-Geometry Dual Guidance

Zefan Qu, Zhenwei Wang, Haoyuan Wang +3

Creating 3D assets that follow the texture and geometry style of existing ones is often desirable or even inevitable in practical applications like video gaming and virtual reality…

cs.CV2024

LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes

Zefan Qu, Ke Xu, Gerhard Petrus Hancke +1

Neural Radiance Fields (NeRFs) have shown remarkable performances in producing novel-view images from high-quality scene images. However, hand-held low-light photography challenges…

cs.CV2024

Color Shift Estimation-and-Correction for Image Enhancement

Yiyu Li, Ke Xu, Gerhard Petrus Hancke +1

Images captured under sub-optimal illumination conditions may contain both over- and under-exposures. Current approaches mainly focus on adjusting image brightness, which may exace…

cs.CV2024

Delving into Dark Regions for Robust Shadow Detection

Huankang Guan, Ke Xu, Rynson W. H. Lau

Shadow detection is a challenging task as it requires a comprehensive understanding of shadow characteristics and global/local illumination conditions. We observe from our experime…

cs.CV2024

Recasting Regional Lighting for Shadow Removal

Yuhao Liu, Zhanghan Ke, Ke Xu +3

Removing shadows requires an understanding of both lighting conditions and object textures in a scene. Existing methods typically learn pixel-level color mappings between shadow an…