😎 GsplatLoc 🎯: Ultra-Precise Pose Optimization via 3D Gaussian Reprojection 🌟
3DGS-based change detection for physical object rearrangement
Gmesh supports differentiable rendering of mixed 3D Gaussians and meshes within a single scene.
This repository acquires continuous frame sequences through cameras mounted on drones and uses an end-to-end feedforward deep learning architecture to directly regress three-dimensional geometric representations from two-dimensional images.
HY-World-2.0-Demo is a powerful, experimental 3D reconstruction and Gaussian Splatting suite powered by the Tencent HY-World-2.0 model (WorldMirror).
Reproducible, quality-first pipeline from video or photos to trained and compressed Gaussian Splatting assets
Drone stills -> ViPE -> COLMAP -> 3D Gaussian Splatting -> rendered fly-through. One-command, six-stage resumable pipeline, verified end-to-end on a free Colab T4.
Convert Tartan datasets to NerfStudio datasets
Taichi Gaussian Splatting renderer for Mac, Apple Silicon, PyTorch MPS, and Metal
360° indoor 3D reconstruction with frozen VGGT, panorama rig constraints, confidence filtering, and bounded SH3 Gaussian Splatting.
A local photo-to-3D Gaussian Splatting pipeline with photo analysis, COLMAP reconstruction, gsplat training, PLY export, and a WebGL viewer.
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