xiaoqiangqiang2345

xiaoqiangqiang2345's Stars

• zubair-irshad/NeO-360

  Pytorch code for ICCV'23 paper. NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes

  Language:Python23010

• lewisjiang/contour-context

  [ICRA'23] Official code repo for "Contour Context: Abstract Structural Distribution for 3D LiDAR Loop Detection and Metric Pose Estimation"

  Language:C++18325

• graphdeco-inria/gaussian-splatting

  Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

  Language:Python15.1k2k

• Pranav-chib/End-to-End-Autonomous-Driving

  A collection of recent resources on End-to-End Autonomous Driving [survey accepted in IEEE TIV]

  17818

• haomo-ai/SuperFusion

  [ICRA 2024] SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation

  Language:Python32915

• jac99/MinkLoc3Dv2

  MinkLoc3Dv2: Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training

  Language:Python7813

• robot-learning-freiburg/PADLoC

  LiDAR-Based Deep Loop Closure Detection and Registration using Panoptic Attention

  Language:Python553

• rayguan97/crossloc3d

  CrossLoc3D: Aerial-Ground Cross-Source 3D Place Recognition -- ICCV 2023

  Language:Python533

• Picsart-AI-Research/Text2Video-Zero

  [ICCV 2023 Oral] Text-to-Image Diffusion Models are Zero-Shot Video Generators

  Language:Python4.1k353

• shalfun/DrivingDiffusion

  Layout-Guided multi-view driving scene video generation with latent diffusion model

  Language:Python56417

• hkchengrex/Tracking-Anything-with-DEVA

  [ICCV 2023] Tracking Anything with Decoupled Video Segmentation

  Language:Python1.3k127

• JOP-Lee/READ

  AAAI2023，implementation of "READ: Large-Scale Neural Scene Rendering for Autonomous Driving", the experimental results are significantly better than Nerf-based methods

  Language:Python45357

• hku-mars/STD

  A 3D point cloud descriptor for place recognition

  Language:C++60472

• lus6-Jenny/RING

  [IEEE T-RO 2023] Source code of RING and RING++ for loop closure detection in LiDAR SLAM.

  Language:Python1658

• electech6/NeRF-Based-SLAM-Incredible-Insights

  Language:Python18318

• kevin2431/Traj-LO

  [RA-L 2024] In Defense of LiDAR-Only Odometry Using an Effective Continuous-Time Trajectory

  Language:C28820

• biter0088/pc-nerf

  Language:Python1473

• haomo-ai/OverlapTransformer

  [RAL/IROS 2022] OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR-Based Place Recognition.

  Language:Python25632

• SlamCabbage/NDTMC

  [IROS 2024] A 3D Global Descriptor For Loop Closure Detection. NDT-Map-Code.

  Language:C++1388

• MetaSLAM/AutoMerge_Docker

  AutoMerge: A Framework for Map Assembling and Smoothing in City-scale Environments

  27012

• nachifur/MulimgViewer

  MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.

  Language:Python1.2k106