xiaodongww

Wu Xiaodong's starred repositories

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 NotebookApache-2.046858 305 662

DragGAN

Official Code for DragGAN (SIGGRAPH 2023)

Language:PythonNOASSERTION35650 996 188

StableLM

StableLM: Stability AI Language Models

Language:Jupyter NotebookApache-2.015842 200 76

Grounded-Segment-Anything

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

Language:Jupyter NotebookApache-2.014838 114 385

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）

7479 180 11

FastSAM

Fast Segment Anything

Language:PythonAGPL-3.07376 57 203

MobileSAM

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

Language:Jupyter NotebookApache-2.04709 44 123

Segment-Everything-Everywhere-All-At-Once

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

Language:PythonApache-2.04320 59 147

rtabmap

RTAB-Map library and standalone application

Language:C++NOASSERTION2733 95 1139

Semantic-Segment-Anything

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

Language:PythonApache-2.02116 19 58

Anything-3D

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

Language:PythonMIT1542 35 15

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:PythonMIT1512 19 296

UNINEXT

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

Language:PythonMIT1491 99 56

Awesome-CLIP

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

1112 19 12

SegmentAnything3D

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

Language:PythonMIT961 15 48

omni3d

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

Language:PythonNOASSERTION705 22 51

ov-seg

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

Language:Jupyter NotebookNOASSERTION678 12 31

OpenSeeD

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

Language:PythonApache-2.0640 21 37

openscene

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

Language:PythonApache-2.0633 19 88

ucasproposal

LaTeX Proposal Template for the University of Chinese Academy of Sciences

Language:TeX593 9 19

Segment-Any-Point-Cloud

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

Language:Python552 26 13

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:PythonGPL-3.0343 1 33