xiaodongww

xiaodongww's Stars

• facebookresearch/omni3d

  Code release for "Omni3D A Large Benchmark and Model for 3D Object Detection in the Wild"

  Language:Python67665

• introlab/rtabmap

  RTAB-Map library and standalone application

  Language:C++2.6k761

• youquanl/Segment-Any-Point-Cloud

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

  Language:Python51726

• IDEA-Research/OpenSeeD

  [ICCV 2023] Official implementation of the paper "A Simple Framework for Open-Vocabulary Segmentation and Detection"

  Language:Python60737

• pengsongyou/openscene

  [CVPR'23] OpenScene: 3D Scene Understanding with Open Vocabularies

  Language:Python57745

• CVMI-Lab/PLA

  (CVPR 2023) PLA: Language-Driven Open-Vocabulary 3D Scene Understanding & (CVPR2024) RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding

  Language:Python23211

• xiaodongww/IPCA

  Language:Python1

• amusi/Deep-Learning-Interview-Book

  深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

  7.1k1.3k

• XingangPan/DragGAN

  Official Code for DragGAN (SIGGRAPH 2023)

  Language:Python35.3k3.4k

• fudan-zvg/Semantic-Segment-Anything

  Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

  Language:Python2k129

• CASIA-IVA-Lab/FastSAM

  Fast Segment Anything

  Language:Python7.1k660

• ChaoningZhang/MobileSAM

  This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

  Language:Jupyter Notebook4.5k466

• facebookresearch/ov-seg

  This is the official PyTorch implementation of the paper Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.

  Language:Jupyter Notebook65260

• LAION-AI/laion-3d

  Collect large 3d dataset and build models

  24722

• IDEA-Research/Grounded-Segment-Anything

  Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

  Language:Jupyter Notebook14k1.3k

• Pointcept/Pointcept

  Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)

  Language:Python1.3k142

• Pointcept/SegmentAnything3D

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

  Language:Python88760

• haochenheheda/segment-anything-annotator

  We developed a python UI based on labelme and segment-anything for pixel-level annotation. It support multiple masks generation by SAM(box/point prompt), efficient polygon modification and category record. We will add more features (such as incorporating CLIP-based methods for category proposal and VOS methods for video datasets

  Language:Python33052

• changgyhub/leetcode_101

  LeetCode 101：和你一起你轻松刷题（C++）

  8.1k1.1k

• Anything-of-anything/Anything-3D

  Segment-Anything + 3D. Let's lift anything to 3D.

  Language:Python1.5k74

• mohuangrui/ucasproposal

  LaTeX Proposal Template for the University of Chinese Academy of Sciences

  Language:TeX571134

• YanjieZe/Virtual-Multi-View-Fusion

  An Elegant PyTorch Implementation of ECCV'2020: Virtual Multi View Fusion for 3D Semantic Segmentation.

  Language:Python242

• runnanchen/CLIP2Scene

  Language:Python1384

• MasterBin-IIAU/UNINEXT

  [CVPR'23] Universal Instance Perception as Object Discovery and Retrieval

  Language:Python1.5k158

• liyunsheng13/BDL

  Language:Python22330

• UX-Decoder/Segment-Everything-Everywhere-All-At-Once

  [NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

  Language:Python4.2k349

• Stability-AI/StableLM

  StableLM: Stability AI Language Models

  Language:Jupyter Notebook15.9k1k

• yangyangyang127/PointCLIP_V2

  [ICCV 2023] PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning

  Language:Python20913

• yzhuoning/Awesome-CLIP

  Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).

  1.1k54

• 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 Notebook45.2k5.3k