3 papers
cs.CV2025
Net2Net: When Un-trained Meets Pre-trained Networks for Robust Real-World Denoising
Weimin Yuan, Cai Meng
Traditional denoising methods for noise removal have largely relied on handcrafted priors, often perform well in controlled environments but struggle to address the complexity and…
cs.CV2025
GS2POSE: Marry Gaussian Splatting to 6D Object Pose Estimation
Junbo Li, Weimin Yuan, Yinuo Wang +4
Accurate 6D pose estimation of 3D objects is a fundamental task in computer vision, and current research typically predicts the 6D pose by establishing correspondences between 2D i…
cs.CV2024
GS2Pose: Two-stage 6D Object Pose Estimation Guided by Gaussian Splatting
Jilan Mei, Junbo Li, Cai Meng
This paper proposes a new method for accurate and robust 6D pose estimation of novel objects, named GS2Pose. By introducing 3D Gaussian splatting, GS2Pose can utilize the reconstru…