yorklyb's Stars
buaacyw/GaussianEditor
[CVPR 2024] GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting
ingra14m/Deformable-3D-Gaussians
[CVPR 2024] Official implementation of "Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction"
kevin2431/Traj-LO
[RA-L 2024] In Defense of LiDAR-Only Odometry Using an Effective Continuous-Time Trajectory
WHU-USI3DV/SGHR
[CVPR 2023] Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting
Animadversio/DiffusionFromScratch
Rebuild the Stable Diffusion Model in a single python script. Tutorial for Harvard ML from Scratch Series
dimitrisdais/crack_detection_CNN_masonry
This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning" by D. Dais, İ. E. Bal, E. Smyrou, and V. Sarhosis published in "Automation in Construction".
yorklyb/L-PR
L-PR: Exploiting LiDAR Fiducial Marker for Unordered Low Overlap Multiview Point Cloud Registration
junzhezhang/shape-inversion
[CVPR 2021] Unsupervised 3D Shape Completion through GAN Inversion
MISTLab/Intensity_based_LiDAR_SLAM
Real-Time Simultaneous Localization and Mapping with LiDAR intensity
York-SDCNLab/IILFM
This is a fiducial marker system designed for LiDAR sensors. Different visual fiducial marker systems (Apriltag, ArUco, CCTag, etc.) can be easily embedded. The usage is as convenient as that of the visual fiducial marker. The system shows potential in SLAM, multi-sensor calibration, augmented reality, and so on.
Magicboomliu/Accelerator-Simple-Template
This is a simple template using HuggingFace Accelerator for DDP-training/Saving/Loading/Pushing.
York-SDCNLab/Ghost-DeblurGAN
This is a lightweight GAN developed for real-time deblurring. The model has a super tiny size and a rapid inference time. The motivation is to boost marker detection in robotic applications, however, you may use it for other applications definitely.
Grantham00/rplidar_detection
Object detection with 2D LiDAR
PegHeads-Inc/PegHeads-Tutorial-5
Training and testing of Glide by OpenAI
Shi-Qi-Li/MDGD
[IEEE RAL] Matching Distance and Geometric Distribution Aided Learning Multiview Point Cloud Registration