sp9103

sp9103's Stars

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python135k1.1k16.2k27k

• ultralytics/ultralytics

  Ultralytics YOLO11 🚀

  Language:Python32.7k1859.4k6.3k

• fastapi/typer

  Typer, build great CLIs. Easy to code. Based on Python type hints.

  Language:Python15.8k78329672

• 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 Notebook15.2k1143881.4k

• IDEA-Research/GroundingDINO

  [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

  Language:Python6.8k42303684

• openai/point-e

  Point cloud diffusion for 3D model synthesis

  Language:Python6.5k22187760

• threestudio-project/threestudio

  A unified framework for 3D content generation.

  Language:Python6.3k79330480

• naver/dust3r

  DUSt3R: Geometric 3D Vision Made Easy

  Language:Python5.4k53163582

• dreamgaussian/dreamgaussian

  [ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation

  Language:Python4k44156359

• TencentARC/InstantMesh

  InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

  Language:Python3.3k43159361

• hbb1/2d-gaussian-splatting

  [SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields

  Language:Python2.1k31156141

• mhamilton723/FeatUp

  Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024

  Language:Jupyter Notebook1.4k166978

• verlab/accelerated_features

  Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!

  Language:Jupyter Notebook9932167111

• dcharatan/flowmap

  [3DV 2025] Code for "FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent" by Cameron Smith*, David Charatan*, Ayush Tewari, and Vincent Sitzmann

  Language:Python892234787

• IDEA-Research/Grounding-DINO-1.5-API

  API for Grounding DINO 1.5: IDEA Research's Most Capable Open-World Object Detection Model Series

  Language:Python777124422

• nianticlabs/acezero

  [ECCV 2024 - Oral] ACE0 is a learning-based structure-from-motion approach that estimates camera parameters of sets of images by learning a multi-view consistent, implicit scene representation.

  Language:Python656583041

• zju3dv/EfficientLoFTR

  Language:Jupyter Notebook626384747

• robustsam/RobustSAM

  RobustSAM: Segment Anything Robustly on Degraded Images (CVPR 2024 Highlight)

  Language:Python31262026

• hbb1/torch-splatting

  A pure pytorch implementation of 3D gaussian Splatting

  Language:Python310121629

• apple/ml-aspanformer

  Language:Python20214025

• CNJianLiu/Awesome-Object-Pose-Estimation

  Project Page for Paper "Deep Learning-Based Object Pose Estimation: A Comprehensive Survey"

  1544013

• RongLiu-Leo/AtomGS

  [BMVC'24] Official implementation for the paper "AtomGS: Atomizing Gaussian Splatting for High-Fidelity Radiance Field"

  Language:Python114556

• WangLongZJU/DeepAC

  [ICCV 2023] Deep Active Contours for Real-time 6-DoF Object Tracking

  Language:Python622186

• vislearn/ngdsac_camreloc

  Neural-Guided, Differentiable RANSAC for Camera Re-Localization (NG-DSAC++)

  Language:C++48746

• camenduru/dreamgaussian-colab

  Language:Jupyter Notebook46434

• YoungSean/NIDS-Net

  NIDS-Net: A unified framework for novel instance detection and segmentation

  Language:Python44245

• r4dl/StopThePop-Rasterization

  Original reference implementation of the CUDA rasterizer from the paper "StopThePop: Sorted Gaussian Splatting for View-Consistent Real-time Rendering"

  Language:Cuda36615

• taeyeopl/Object-Pose-Estimation-CVPR-2024

  21210

• surfsplatting/surfsplatting.github.io

  Language:HTML72

• nv-nguyen/bop-benchmark

  Toolkit to download/upload datasets for BOP benchmark

  Language:Python6202