Alternatives and similar repositories for PU-Transformer

Users that are interested in PU-Transformer are comparing it to the libraries listed below

• hrzhou2 / seedformer
  ☆84Updated 2 years ago
• BingHan0458 / PU-GACNet
  PU-GACNet
  ☆14Updated 2 years ago
• lyqun / PU-Net_pytorch
  PyTorch Implementation of PU-Net. PU-Net: Point Cloud Upsampling Network, CVPR 2018
  ☆92Updated last year
• wangyida / disp3d
  Learning Local Displacements for Point Cloud Completion - CVPR 2022
  ☆41Updated 3 years ago
• ohhhyeahhh / PointAttN
  Code for the paper "PointAttN: You Only Need Attention for Point Cloud Completion"
  ☆104Updated last year
• AllenXiangX / SnowflakeNet
  (TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer
  ☆175Updated 9 months ago
• JunweiZheng93 / APES
  Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023
  ☆115Updated last month
• paul007pl / VRCNet
  [CVPR 2021 Oral] Variational Relational Point Completion Network
  ☆162Updated 3 years ago
• liruihui / Dis-PU
  Point Cloud Upsampling via Disentangled Refinement, CVPR, 2021
  ☆73Updated 3 years ago
• guochengqian / PU-GCN
  [CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks
  ☆180Updated 2 years ago
• HaolinLiu97 / PUGAN-pytorch
  Pytorch unofficial implementation of PUGAN (a Point Cloud Upsampling Adversarial Network, ICCV, 2019)
  ☆83Updated 2 years ago
• Hydrogenion / ViPC
  PyTorch implementation for View-Guided Point Cloud Completion
  ☆53Updated 3 years ago
• XLechter / SDT
  Codes for Point Cloud Completion via Skeleton-Detail Transformer
  ☆26Updated last year
• EasyRy / CRA-PCN
  CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers
  ☆50Updated 8 months ago
• yunhe20 / Grad-PU
  This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learn…
  ☆81Updated 2 years ago
• chenzhik / AnchorFormer
  ☆41Updated last year
• liuxinhai / SPU-Net
  SPU-Net: Self-supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction with Self-Projection Optimization
  ☆12Updated 2 years ago
• tiangexiang / CurveNet
  [ICCV 2021] Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
  ☆182Updated 2 months ago
• hrzhou2 / AdaptConv-master
  Adaptive Graph Convolution for Point Cloud Analysis
  ☆117Updated 3 years ago
• I2-Multimedia-Lab / ProxyFormer
  ProxyFormer (CVPR 2023)
  ☆101Updated 2 years ago
• HaochengWan / PVT
  PVT: Point-Voxel Transformer for 3D Deep Learning
  ☆93Updated 2 years ago
• diviswen / PMP-Net
  ☆54Updated last year
• xiaogangw / cascaded-point-completion
  Cascaded Refinement Network for Point Cloud Completion (CVPR 2020)
  ☆24Updated 3 years ago
• junzhezhang / shape-inversion
  [CVPR 2021] Unsupervised 3D Shape Completion through GAN Inversion
  ☆141Updated 4 years ago
• SimingYan / IAE
  [ICCV 2023] "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"
  ☆101Updated 2 years ago
• chenhonghua / RePCD-Net
  RePCD-Net
  ☆21Updated last year
• xnowbzhao / sapcu
  Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation (CVPR 2022)
  ☆40Updated last year
• guochengqian / ASSANet
  [NeurIPS'21 Spotlight] ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
  ☆35Updated 2 years ago
• kaiyizhang / AXform
  Attention-based Transformation from Latent Features to Point Clouds (AAAI 2022)
  ☆19Updated 2 years ago
• linhaojia13 / PointMetaBase
  This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"
  ☆94Updated 2 years ago