龙笑泽's starred repositories
Stereo-NEC
The official repository of our ICRA 2024 paper "Stereo-NEC: Enhancing Stereo Visual-Inertial SLAM Initialization with Normal Epipolar Constraints".
Gaussian-Head-Avatar
[CVPR 2024] Official repository for "Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians"
GeneAvatar
Code for "GeneAvatar: Generic Expression-Aware Volumetric Head Avatar Editing from a Single Image", CVPR 2024
small_gicp
Efficient and parallel algorithms for point cloud registration [C++, Python]
GS_ICP_SLAM
[ECCV 2024] RGBD GS-ICP SLAM
feature-3dgs
[CVPR 2024 Highlight] Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields
Structure-PLP-SLAM
[ICRA'23] The official Implementation of "Structure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras"
MoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
deep-image-matching
Multiview matching with deep-learning and hand-crafted local features for COLMAP and other SfM software. Supports high-resolution formats and images with rotations. Both CLI and GUI are supported.
Texture-GS
[ECCV 2024] The official repo for "Texture-GS: Disentangling the Geometry and Texture for 3D Gaussian Splatting Editing"
3dgs-deblur
[ECCV2024] Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion
awesome_lists
Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)
Make-Your-3D
[ECCV 2024] Make-Your-3D: Fast and Consistent Subject-Driven 3D Content Generation
3D-Gaussian-Splatting-Papers
3D高斯论文,持续更新,欢迎交流讨论。
SegAnyGAussians
The official implementation of SAGA (Segment Any 3D GAussians)
gaussian-grouping
[ECCV'2024] Gaussian Grouping for open-world Anything reconstruction, segmentation and editing.
DepthRegularizedGS
This is an official repository for "Depth-Regularized Optimization for 3D Gaussian Splatting in Few-Shot Images"
MapClosures
Effectively Detecting Loop Closures using Point Cloud Density Maps