5 papers
A Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets
Harvey Mannering, Yilin Zhang, Ziao Liu +3
Prenatal ultrasound imaging is key for assessing fetal health, but AI progress is limited by scarce, privacy-restricted, and hard-to-annotate datasets. We propose a high-resolution…
3DGS_LSR:Large_Scale Relocation for Autonomous Driving Based on 3D Gaussian Splatting
Haitao Lu, Haijier Chen, Haoze Liu +3
In autonomous robotic systems, precise localization is a prerequisite for safe navigation. However, in complex urban environments, GNSS positioning often suffers from signal occlus…
AttentionGS: Towards Initialization-Free 3D Gaussian Splatting via Structural Attention
Ziao Liu, Zhenjia Li, Yifeng Shi +1
3D Gaussian Splatting (3DGS) is a powerful alternative to Neural Radiance Fields (NeRF), excelling in complex scene reconstruction and efficient rendering. However, it relies on hi…
eKalibr: Dynamic Intrinsic Calibration for Event Cameras From First Principles of Events
Shuolong Chen, Xingxing Li, Liu Yuan +1
The bio-inspired event camera has garnered extensive research attention in recent years, owing to its significant potential derived from its high dynamic range and low latency char…
URS-NeRF: Unordered Rolling Shutter Bundle Adjustment for Neural Radiance Fields
Bo Xu, Ziao Liu, Mengqi Guo +2
We propose a novel rolling shutter bundle adjustment method for neural radiance fields (NeRF), which utilizes the unordered rolling shutter (RS) images to obtain the implicit 3D re…