Alternatives and similar repositories for IST-Net:

Users that are interested in IST-Net are comparing it to the libraries listed below

• hustvl / Query6DoF
  Query6DoF: Learning Sparse Queries as Implicit Shape Prior for Category-Level 6DoF Pose Estimation
  ☆29Updated last year
• CVMI-Lab / DODA
  (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation
  ☆49Updated 2 years ago
• lyhdet / OV-3DET
  ☆90Updated last year
• RunpeiDong / ACT
  [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
  ☆101Updated 9 months ago
• runnanchen / Label-Free-Scene-Understanding
  ☆51Updated last year
• W1zheng / DKNet
  Official implementation for ECCV 2022 paper "3D Instances as 1D Kernels".
  ☆53Updated 2 years ago
• wangzy22 / P2P
  [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
  ☆130Updated last year
• HanchenTai / OV-SAM3D
  Open-Vocabulary SAM3D: Understand Any 3D Scene
  ☆27Updated 6 months ago
• antonioo-c / PiMAE
  [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”
  ☆131Updated 3 months ago
• fjhzhixi / 3D-SPS
  ☆58Updated last year
• YunzeMan / Lexicon3D
  [NeurIPS 2024] Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding
  ☆86Updated last month
• CVMI-Lab / MarS3D
  (CVPR 2023) MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds
  ☆65Updated last year
• fanglaosi / Point-In-Context
  [NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding
  ☆67Updated 4 months ago
• Adonis-galaxy / DepthCLIP
  Official implementation of "Can Language Understand Depth?"
  ☆81Updated 2 years ago
• zhenyuw16 / Uni3DETR
  Code release for our NeurIPS 2023 paper "Uni3DETR: Unified 3D Detection Transformer", our ECCV 2024 paper "OV-Uni3DETR: Towards Unified O…
  ☆96Updated 8 months ago
• wangzy22 / TAP
  [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models
  ☆40Updated 8 months ago
• ch3cook-fdu / Vote2Cap-DETR
  [CVPR 2023] Vote2Cap-DETR and [T-PAMI 2024] Vote2Cap-DETR++; A set-to-set perspective towards 3D Dense Captioning; State-of-the-Art 3D De…
  ☆89Updated 7 months ago
• Kunhao-Liu / 3D-OVS
  [NeurIPS 2023] Weakly Supervised 3D Open-vocabulary Segmentation
  ☆118Updated last year
• XiaoshuiHuang / EPCL
  [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder
  ☆29Updated 11 months ago
• dvlab-research / spconv-plus
  ☆157Updated 2 years ago
• CVMI-Lab / PLA
  (CVPR 2023) PLA: Language-Driven Open-Vocabulary 3D Scene Understanding & (CVPR2024) RegionPLC: Regional Point-Language Contrastive Learn…
  ☆277Updated 9 months ago
• runnanchen / CLIP2Scene
  ☆170Updated last year
• qizekun / ReCon
  [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
  ☆143Updated 8 months ago
• dvlab-research / Mask-Attention-Free-Transformer
  Official Implementation for "Mask-Attention-Free Transformer for 3D Instance Segmentation"
  ☆63Updated last year
• lslrh / DMA
  Official code of DMA: Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understanding, ECCV 2024
  ☆29Updated 8 months ago
• Ivan-Tang-3D / Point-PEFT
  (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
  ☆52Updated 10 months ago
• luluho1208 / Diffusion-SS3D
  ☆51Updated last year
• zyrant / SPGroup3D
  [AAAI 2024] SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection
  ☆40Updated 11 months ago
• ZhanHeshen / PointCMT
  [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis
  ☆74Updated 2 years ago
• OpenRobotLab / P3Former
  [IJCV 2024] P3Former: Position-Guided Point Cloud Panoptic Segmentation Transformer
  ☆79Updated last year