6 citations · 11 across the 10 of their papers we have counts for
11 papers
LICOA: Learning Instruction-Conditioned Optical Actions for Mobile Spatial Augmented Reality
Yuchen Deng, Shunkai Zhou, Ruixuan Zhu +2
Spatial augmented reality (SAR) augments physical environments with projected content, but most systems assume that the projector pose, target region, or motion path has been fixed…
DiffPC: Diffusion-Based Projector Photometric Compensation
Yuxi Wang, Haibin Ling, Bingyao Huang
Projector photometric compensation corrects color distortions introduced by surface texture, reflection, and ambient lighting. Existing deep learning-based methods usually require…
GS^2: Graph-based Spatial Distribution Optimization for Compact 3D Gaussian Splatting
Xianben Yang, Tao Wang, Yuxuan Li +2
3D Gaussian Splatting (3DGS) has demonstrated breakthrough performance in novel view synthesis and real-time rendering. Nevertheless, its practicality is constrained by the high me…
Setup-Independent Full Projector Compensation
Haibo Li, Qingyue Deng, Jijiang Li +2
Projector compensation seeks to correct geometric and photometric distortions that occur when images are projected onto nonplanar or textured surfaces. However, most existing metho…
ProCap: Projection-Aware Captioning for Spatial Augmented Reality
Zimo Cao, Yuchen Deng, Haibin Ling +1
Spatial augmented reality (SAR) directly projects digital content onto physical scenes using projectors, creating immersive experience without head-mounted displays. However, for S…
MRATTS: An MR-Based Acupoint Therapy Training System with Real-Time Acupoint Detection and Evaluation Standards
Jiacheng Liu, Bohan Chen, Qian Wang +5
Acupoint therapy is a core therapeutic method of Traditional Chinese Medicine (TCM), and it requires a high level of expertise and skills to detect acupoints and perform acupunctur…
CAPAA: Classifier-Agnostic Projector-Based Adversarial Attack
Zhan Li, Mingyu Zhao, Xin Dong +2
Projector-based adversarial attack aims to project carefully designed light patterns (i.e., adversarial projections) onto scenes to deceive deep image classifiers. It has potential…
DPCS: Path Tracing-Based Differentiable Projector-Camera Systems
Jijiang Li, Qingyue Deng, Haibin Ling +1
Projector-camera systems (ProCams) simulation aims to model the physical project-and-capture process and associated scene parameters of a ProCams, and is crucial for spatial augmen…
LAPIG: Language Guided Projector Image Generation with Surface Adaptation and Stylization
Yuchen Deng, Haibin Ling, Bingyao Huang
We propose LAPIG, a language guided projector image generation method with surface adaptation and stylization. LAPIG consists of a projector-camera system and a target textured pro…
NeuroPump: Simultaneous Geometric and Color Rectification for Underwater Images
Yue Guo, Haoxiang Liao, Haibin Ling +1
Underwater image restoration aims to remove geometric and color distortions due to water refraction, absorption and scattering. Previous studies focus on restoring either color or…
GS-ProCams: Gaussian Splatting-based Projector-Camera Systems
Qingyue Deng, Jijiang Li, Haibin Ling +1
We present GS-ProCams, the first Gaussian Splatting-based framework for projector-camera systems (ProCams). GS-ProCams is not only view-agnostic but also significantly enhances the…