Alternatives and similar repositories for ACT:

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

• qizekun / ReCon
  [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
  ☆134Updated 6 months ago
• ZhanHeshen / PointCMT
  [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis
  ☆74Updated 2 years ago
• wangzy22 / P2P
  [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
  ☆126Updated last year
• Ivan-Tang-3D / Point-PEFT
  (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
  ☆53Updated 8 months ago
• antonioo-c / PiMAE
  [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion”
  ☆129Updated 2 months ago
• qizekun / PointVisualizaiton
  A point cloud visualization repo
  ☆70Updated 3 months ago
• wangzy22 / TAP
  [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models
  ☆40Updated 6 months ago
• guochengqian / Pix4Point
  Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`
  ☆47Updated 7 months ago
• ajhamdi / vointcloud
  Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023)
  ☆21Updated last year
• tyhuang0428 / CLIP2Point
  [ICCV 2023] CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training
  ☆110Updated last year
• WisconsinAIVision / MaskPoint
  [ECCV 2022] Masked Discrimination for Self-Supervised Learning on Point Clouds
  ☆94Updated 2 years ago
• jiawei-ren / ModelNet-C
  [ICML 2022] Benchmarking and Analyzing Point Cloud Classification under Corruptions https://arxiv.org/abs/2202.03377
  ☆60Updated 8 months ago
• runnanchen / Label-Free-Scene-Understanding
  ☆51Updated last year
• fanglaosi / Point-In-Context
  [NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding
  ☆66Updated 2 months ago
• SooLab / Part2Object
  [ECCV 2024] The official PyTorch implementation of the "Part2Object: Hierarchical Unsupervised 3D Instance Segmentation".
  ☆18Updated 5 months ago
• zyh16143998882 / AAAI24-PointFEMAE
  The code for the paper "Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders" (AAAI'24).
  ☆36Updated last year
• yangyangyang127 / PointCLIP_V2
  [ICCV 2023] PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
  ☆244Updated last year
• XiaoshuiHuang / EPCL
  [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder
  ☆29Updated 10 months ago
• fukexue / POS-BERT
  ☆19Updated 4 months ago
• ZrrSkywalker / I2P-MAE
  [CVPR 2023] Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders
  ☆218Updated last year
• CVMI-Lab / DODA
  (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation
  ☆49Updated 2 years ago
• Jhonve / ImplicitPCDA
  Domain Adaptation on Point Clouds via Geometry-Aware Implicits
  ☆26Updated last year
• Yukichiii / Swin3D_Task
  The Experiment Code for Swin3D
  ☆33Updated 11 months ago
• dvlab-research / Mask-Attention-Free-Transformer
  Official Implementation for "Mask-Attention-Free Transformer for 3D Instance Segmentation"
  ☆63Updated last year
• CGuangyan-BIT / PointGPT
  [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds
  ☆208Updated 7 months ago
• zhang-tao-whu / PCM
  Point Could Mamba: Point Cloud Learning via State Space Model
  ☆70Updated 2 months ago
• linhaojia13 / PointMetaBase
  This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"
  ☆91Updated last year
• VITA-Group / Simple3D-Former
  [Preprint 2022] “Can We Solve 3D Vision Tasks Starting from A 2D Vision Transformer?” by Yi Wang, Zhiwen Fan, Tianlong Chen, Hehe Fan, Zh…
  ☆61Updated 2 years ago
• SimingYan / IAE
  [ICCV 2023] "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"
  ☆101Updated 2 years ago
• theodorakontogianni / InterObject3D
  ☆38Updated 8 months ago