Alternatives and similar repositories for GeoFormer

Users that are interested in GeoFormer are comparing it to the libraries listed below

• LHDuan / ConDaFormer
  [NeurIPS'23] ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding
  ☆11Updated last year
• LiyaoTang / ERDA
  All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation (NeurIPS 2023)
  ☆29Updated last year
• diegovalsesia / HyCoRe
  Code for "Rethinking the compositionality of point clouds through regularization in the hyperbolic space" (NeurIPS 2022)
  ☆29Updated 2 years ago
• haibo-qiu / PointHR
  PointHR: Exploring High-Resolution Architectures for 3D Point Cloud Segmentation
  ☆13Updated last year
• wangzy22 / TAP
  [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models
  ☆42Updated 11 months ago
• ajhamdi / vointcloud
  Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023)
  ☆21Updated 2 years ago
• diegovalsesia / XMFnet
  Code for "Cross-modal Learning for Image-Guided Point Cloud Shape Completion" (NeurIPS 2022)
  ☆61Updated 2 years ago
• ZhaochongAn / COSeg
  [CVPR 2024] This repo contains the code for our paper: Rethinking Few-shot 3D Point Cloud Semantic Segmentation
  ☆97Updated 2 months ago
• leolyj / 3DPC-CISS
  This is the code related to "Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation" (CVPR 2023)
  ☆32Updated last year
• gfmei / GeoZe
  ☆23Updated last year
• zhang-tao-whu / PCM
  Point Could Mamba: Point Cloud Learning via State Space Model
  ☆70Updated 7 months ago
• yangyangyang127 / Seg-NN
  [CVPR2024 Hightlight] No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation
  ☆103Updated last year
• Yukichiii / Swin3D_Task
  The Experiment Code for Swin3D
  ☆36Updated last year
• LifeBeyondExpectations / ECCV22-PointMixer
  [ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"
  ☆106Updated last year
• dvlab-research / Mask-Attention-Free-Transformer
  Official Implementation for "Mask-Attention-Free Transformer for 3D Instance Segmentation"
  ☆67Updated last year
• sunjiahao1999 / SPFormer
  ☆155Updated 2 years ago
• XiaoshuiHuang / EPCL
  [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder
  ☆31Updated last year
• ark1234 / ICCV2023-HyperCD
  The official repository of the paper "Hyperbolic Chamfer Distance for Point Cloud Completion" published at ICCV 2023
  ☆23Updated last year
• ZhanHeshen / PointCMT
  [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis
  ☆74Updated 2 years ago
• mlvlab / SPoTr
  Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).
  ☆109Updated 3 months ago
• FuchenUSTC / PointClustering
  ☆27Updated 2 years ago
• wu-zhonghua / RAC-Net
  ☆16Updated last year
• theodorakontogianni / InterObject3D
  ☆42Updated last year
• IRMVLab / Point-Mamba
  Point Mamba
  ☆121Updated last year
• gfmei / SoftClu
  Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding
  ☆19Updated 2 years ago
• VinAIResearch / GaPro
  GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers (ICCV 2023)
  ☆22Updated 8 months ago
• mlvlab / SageMix
  Official Implementation (PyTorch) of "SageMix: Saliency-Guided Mixup for Point Clouds", NeurIPS 2022
  ☆26Updated last year
• townim-faisal / FSCIL-3D
  [ECCV 2022] Few-shot class incremental learning on 3D point clouid objects
  ☆28Updated 2 years ago
• changshuowang / GPSFormer
  This is a PyTorch implementation of GPSFormer proposed by our paper "GPSFormer: A Global Perception and Local Structure Fitting-based Tra…
  ☆24Updated 11 months ago
• diviswen / Cycle4Completion
  ☆34Updated 4 years ago