shuishui602

shuishui602's Stars

• BIT-DYN/OpenGraph

  [RAL 2024] OpenGraphs: Open-Vocabulary Hierarchical 3D Scene Graphs in Large-Scale Outdoor Environments

  Language:Python725

• concept-graphs/concept-graphs

  Official code release for ConceptGraphs

  Language:Python38663

• Walter0807/MotionBERT

  [ICCV 2023] PyTorch Implementation of "MotionBERT: A Unified Perspective on Learning Human Motion Representations"

  Language:Python1k125

• THUDM/GATNE

  Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"

  Language:Python522140

• ShunChengWu/3DSSG

  Language:Python13320

• WaldJohannaU/3RScan

  3RScan Toolkit

  Language:C++18619

• hujiecpp/YOSO

  Code release for paper "You Only Segment Once: Towards Real-Time Panoptic Segmentation" [CVPR 2023]

  Language:Python25120

• amusi/CVPR2024-Papers-with-Code

  CVPR 2024 论文和开源项目合集

  17.8k2.6k

• SamsungLabs/imvoxelnet

  [WACV2022] ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection

  Language:Python27629

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python64.4k8k

• exiawsh/StreamPETR

  [ICCV 2023] StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

  Language:Python56764

• ethz-asl/autolabel

  A project for computing high-quality ground truth training examples for RGB-D data.

  Language:Python433

• vlmaps/vlmaps

  [ICRA2023] Implementation of Visual Language Maps for Robot Navigation

  Language:Python36149

• HHrEtvP/HSLC-3DSG

  Language:Python41

• wz7in/CVPR2023-VLSAT

  CVPR2023 : VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud

  Language:Python6111

• Pointcept/SegmentAnything3D

  [ICCV'23 Workshop] SAM3D: Segment Anything in 3D Scenes

  Language:Python96367

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook46.9k5.6k

• astra-vision/MonoScene

  [CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image

  Language:Python68866

• zhangyp15/OccFormer

  [ICCV 2023] OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction

  Language:Python31822

• JeffWang987/OpenOccupancy

  [ICCV 2023] OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception

  Language:Python57450

• Kin-Zhang/vdbfusion_mapping

  vdbfusion ros version but with refactor compared to official one and work great also.

  Language:C++394

• PRBonn/make_it_dense

  Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments

  Language:Python13110

• MIT-SPARK/Hydra

  Language:C++58972

• chaoyivision/SGGpoint

  [CVPR 2021] Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis (official pytorch implementation)

  Language:Jupyter Notebook507

• lxtGH/Video-K-Net

  [CVPR-2022 (oral)]-Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation

  Language:Python14914

• zhiqi-li/Panoptic-SegFormer

  This is the official repo of Panoptic SegFormer [CVPR'22]

  Language:Python21629

• VIPSeg-Dataset/VIPSeg-Dataset

  CVPR2022: Large-scale Video Panoptic Segmentation in the Wild: A Benchmark

  Language:Python1348

• salesforce/BLIP

  PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

  Language:Jupyter Notebook4.7k623

• qqlu/Entity

  EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

  Language:Jupyter Notebook69258

• gyhandy/Humanoid-Vision-Engine

  code for [ECCV 2022 paper] Contributions of Shape, Texture, and Color in Visual Recognition

  Language:Python9912