Search Results for author:
Found 5 papers, 0 papers with code
TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes
Ultimately, our approach significantly outperforms the existing state-of-the-art methods on the mainstream benchmark OpenLane-V2 (23. 9 v. s.
NeuralRoom: Geometry-Constrained Neural Implicit Surfaces for Indoor Scene Reconstruction
Recently, implicit neural representations have become a promising way to reconstruct surfaces from multiview images due to their high-quality results and simplicity.
DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation
To this end, we proposed a Depth-Guided Edge Convolutional Network (DGECN) for 6D pose estimation task.
Joint Texture and Geometry Optimization for RGB-D Reconstruction
Due to inevitable noises and quantization error, the reconstructed 3D models via RGB-D sensors always accompany geometric error and camera drifting, which consequently lead to blurring and unnatural texture mapping results.
Texture Mapping for 3D Reconstruction With RGB-D Sensor
Acquiring realistic texture details for 3D models is important in 3D reconstruction.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
