haiyulan

haiyulan's Stars

• patrick-llgc/Learning-Deep-Learning

  Paper reading notes on Deep Learning and Machine Learning

  Language:Jupyter Notebook1k175

• coolzhao/Geo-SAM

  A QGIS plugin tool using Segment Anything Model (SAM) to accelerate segmenting or delineating landforms in geospatial raster images.

  Language:Python19024

• magicleap/SuperPointPretrainedNetwork

  PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)

  Language:Python1.8k381

• fudan-zvg/S-NeRF

  [ICLR 2023] S-NeRF: Neural Radiance Fields for Street Views

  Language:Python1529

• mitroadmaps/roadtracer

  Language:Python21874

• CASIA-IVA-Lab/FastSAM

  Fast Segment Anything

  Language:Python7k653

• tusen-ai/SST

  Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).

  Language:Python75196

• facebookresearch/localrf

  An algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video.

  Language:Python95161

• youquanl/Segment-Any-Point-Cloud

  [NeurIPS'23 Spotlight] Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

  Language:Python51126

• zju3dv/LoFTR

  Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022

  Language:Jupyter Notebook2.1k331

• princeton-vl/DROID-SLAM

  Language:Python1.6k266

• fzi-forschungszentrum-informatik/Lanelet2

  Map handling framework for automated driving

  Language:C++753319

• princeton-vl/infinigen

  Infinite Photorealistic Worlds using Procedural Generation

  Language:Python5.1k423

• bennyguo/instant-nsr-pl

  Neural Surface reconstruction based on Instant-NGP. Efficient and customizable boilerplate for your research projects. Train NeuS in 10min!

  Language:Python80481

• PRBonn/SHINE_mapping

  🌟 SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations (ICRA' 23)

  Language:Python42628

• PJLab-ADG/neuralsim

  neuralsim: 3D surface reconstruction and simulation based on 3D neural rendering.

  Language:Python54826

• GhiXu/ACMMP

  Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo (TPAMI 2022)

  Language:C++16527

• zzangjinsun/NLSPN_ECCV20

  Park et al., Non-Local Spatial Propagation Network for Depth Completion, ECCV, 2020

  Language:Python30356

• MiZhenxing/Switch-NeRF

  Codes for Switch-NeRF (ICLR 2023)

  Language:Python1887

• facebookresearch/NSVF

  Open source code for the paper of Neural Sparse Voxel Fields.

  Language:Python79394

• zju3dv/NeuralRecon

  Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral

  Language:Python2k290

• zju3dv/NeuralRecon-W

  Code for "Neural 3D Reconstruction in the Wild", SIGGRAPH 2022 (Conference Proceedings)

  Language:Python68731

• MIT-SPARK/Kimera-VIO

  Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.

  Language:C++1.5k402

• Letian-Wang/asaprl

  RSS 2023: This repository contains code for the paper Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors.

  Language:Python517

• MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning

  This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

  Language:MATLAB2.3k323

• astra-vision/SceneRF

  [ICCV 2023] Official implementation of "SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields"

  Language:Python33130

• google/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python28.4k2.6k

• peiyunh/ff

  Safe Local Motion Planning with Self-Supervised Freespace Forecasting, CVPR 2021

  Language:Python10917

• OpenDriveLab/UniAD

  [CVPR 2023 Best Paper] Planning-oriented Autonomous Driving

  Language:Python3k312

• xmeng525/NeAT

  This is the official repo for the implementation of NeAT: Learning Neural Implicit Surfaces with Arbitrary Topologies from Multi-view Images.

  Language:Python1518