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Ruslan Rakhimov

3 accepted papers

2025

GSplatLoc: Grounding Keypoint Descriptors into 3D Gaussian Splatting for Improved Visual Localization

IROS 2025

Visual localization methods often present a trade-off between the high efficiency of specialized approaches, such as scene coordinate regression, and the need for rich, versatile scene representations for broader robotics tasks. To bridge this gap, we explore the use of 3D Gaussian Splatting (3DGS),

Cited by 14SourcecodeScholar
2023

Multi-Sensor Large-Scale Dataset for Multi-View 3D Reconstruction

CVPR 2023poster

We present a new multi-sensor dataset for multi-view 3D surface reconstruction. It includes registered RGB and depth data from sensors of different resolutions and modalities: smartphones, Intel RealSense, Microsoft Kinect, industrial cameras, and structured-light scanner. The scenes are selected to…

Cited by 12SourcePDFScholar
2022

NPBG++: Accelerating Neural Point-Based Graphics

CVPR 2022poster

We present a new system (NPBG++) for the novel view synthesis (NVS) task that achieves high rendering realism with low scene fitting time. Our method efficiently leverages the multiview observations and the point cloud of a static scene to predict a neural descriptor for each point, improving upon t…

Cited by 80PDFcodeScholar