sfengpeng

sfengpeng's Stars

• buaavrcg/LEGaussians

  Pytorch Code for "LEGaussians: Language Embedded 3D Gaussians for Open-Vocabulary Scene Understanding"

  Language:Python12517

• xiaomengyc/Few-Shot-Semantic-Segmentation-Papers

  Few Shot Semantic Segmentation Papers

  854101

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook12.2k1.6k

• mariannerakic/Tyche

  Language:Python453

• lovelyqian/StyleAdv-CDFSL

  Repository for the CVPR-2023 paper : StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning

  Language:Python533

• dvlab-research/Stratified-Transformer

  Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)

  Language:Python38440

• WHL182/UGAPNet

  Language:Python2

• ClusterFormer/ClusterFormer

  Language:Python223

• NUAAXQ/awesome-point-cloud-analysis-2023

  A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

  1.5k192

• LeapLabTHU/Agent-Attention

  Official repository of Agent Attention (ECCV2024)

  Language:Python57939

• HanboBizl/AgMTR

  AgMTR: Agent Mining Transformer for Few-shot Segmentation in Remote Sensing

  Language:Python4

• matteo-bastico/CoupLap

  Implementation of the Coupled Laplacian from CVPR2024 paper: Coupled Laplacian Eigenmaps for Locally-Aware 3D Rigid Point Cloud Matching

  Language:Python173

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python13.8k1.2k

• weihao1115/cat-sam

  [ECCV 2024 Oral] The official implementation of "CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model".

  Language:Python1177

• yangyangyang127/Seg-NN

  [CVPR2024 Hightlight] No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation

  Language:Python915

• zyc00/Point-SAM

  Point-SAM: This is the official repository of "Point-SAM: Promptable 3D Segmentation Model for Point Clouds". We provide codes for running our demo and links to download checkpoints.

  Language:Python15910

• gaudetcj/DeepQuaternionNetworks

  Code for Deep Quaternion Networks

  Language:TeX5511

• LiShuo1001/MGCL

  The Code of Mask-Guided Correlation Learning for Few-Shot Segmentation in Remote Sensing Imagery (IEEE Transactions on Geoscience and Remote Sensing 2024)

  Language:Jupyter Notebook41

• SysCV/sam-hq

  Segment Anything in High Quality [NeurIPS 2023]

  Language:Jupyter Notebook3.8k227

• Hedlen/awesome-segment-anything

  Tracking and collecting papers/projects/others related to Segment Anything.

  1.6k133

• IDEA-Research/GroundingDINO

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

  Language:Python7.2k733

• Duanyll/CANConv

  Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening

  Language:Python433

• syp2ysy/VRP-SAM

  [CVPR 2024] Official implementation of "VRP-SAM: SAM with Visual Reference Prompt"

  Language:Python11414

• ZiqinZhou66/ZegCLIP

  Official implement of CVPR2023 ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation

  Language:Python22722

• LIUYUANWEI98/IPMT

  code for NeurIPS 2022 IPMT

  Language:Python282

• YichiZhang98/SAM4MIS

  [CIBM 2024] Segment Anything Model for Medical Image Segmentation: Open-Source Project Summary

  84062

• Oneflow-Inc/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 Notebook9414

• HRNet/HRNet-Semantic-Segmentation

  The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

  Language:Python3.2k693

• ChaofWang/Awesome-Super-Resolution

  Collect super-resolution related papers, data, repositories

  2.6k356

• rmcong/QPENet_TMM24

  Language:Python71