Alternatives and similar repositories for Point-In-Context

Users that are interested in Point-In-Context are comparing it to the libraries listed below

• Ivan-Tang-3D / Point-PEFT
  (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
  ☆57Updated last year
• KuanchihHuang / Reason3D
  [3DV 2025] Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model
  ☆110Updated 7 months ago
• HanchenTai / OV-SAM3D
  Open-Vocabulary SAM3D: Understand Any 3D Scene
  ☆35Updated 6 months ago
• RunpeiDong / ACT
  [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
  ☆103Updated last year
• sosppxo / 3D-STMN
  [AAAI 2024] The official implementation of the paper "3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Refer…
  ☆44Updated 2 years ago
• Kunhao-Liu / 3D-OVS
  [NeurIPS 2023] Weakly Supervised 3D Open-vocabulary Segmentation
  ☆122Updated last year
• runnanchen / Label-Free-Scene-Understanding
  ☆49Updated 2 years ago
• qizekun / ReCon
  [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
  ☆149Updated last year
• tyhuang0428 / CLIP2Point
  [ICCV 2023] CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training
  ☆127Updated last year
• CVRP-SOLE / SOLE
  [ICLR 2025] Official code of "Segment any 3D Object with Language"
  ☆53Updated 2 months ago
• LeapLabTHU / Segment3D
  ☆95Updated last year
• Mr-Neko / JM3D
  The offical implemention of JM3D.
  ☆31Updated 4 months ago
• wangzy22 / P2P
  [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
  ☆131Updated 2 years ago
• guochengqian / Pix4Point
  Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`
  ☆47Updated last year
• dvlab-research / GroupContrast
  [CVPR 2024] GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding
  ☆44Updated last year
• CurryYuan / ZSVG3D
  [CVPR 2024] Visual Programming for Zero-shot Open-Vocabulary 3D Visual Grounding
  ☆60Updated last year
• ardianumam / PartDistill
  ☆21Updated last year
• XiaoshuiHuang / EPCL
  [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder
  ☆35Updated last year
• CVMI-Lab / DODA
  (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation
  ☆49Updated 3 years ago
• UCSC-VLAA / MixCon3D
  [CVPR 2024] The official implementation of paper "Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training"
  ☆36Updated last year
• YunzeMan / Lexicon3D
  [NeurIPS 2024] Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding
  ☆98Updated 10 months ago
• Ivan-Tang-3D / Any2Point
  [ECCV2024] Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding
  ☆125Updated last year
• lslrh / DMA
  Official code of DMA: Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understanding, ECCV 2024
  ☆30Updated last year
• hithqd / UniM-OV3D
  ☆21Updated 8 months ago
• dvlab-research / Mask-Attention-Free-Transformer
  Official Implementation for "Mask-Attention-Free Transformer for 3D Instance Segmentation"
  ☆72Updated 2 years ago
• zyrant / SPGroup3D
  [AAAI 2024] SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection
  ☆43Updated last year
• leolyj / 3D-VLP
  This is the code related to "Context-aware Alignment and Mutual Masking for 3D-Language Pre-training" (CVPR 2023).
  ☆29Updated 2 years ago
• sosppxo / MDIN
  [MM2024 Oral] 3D-GRES: Generalized 3D Referring Expression Segmentation
  ☆41Updated last year
• zhang-tao-whu / PCM
  Point Could Mamba: Point Cloud Learning via State Space Model
  ☆75Updated last year
• fukexue / POS-BERT
  ☆19Updated last year