Alternatives and similar repositories for PointCloudUpsampling

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

• hikvision-research / 3DVision
  ☆54Updated last year
• yunhe20 / Grad-PU
  This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learn…
  ☆84Updated 2 years ago
• pleaseconnectwifi / Meta-PU
  Meta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud (TVCG 2021)
  ☆34Updated 4 years ago
• xnowbzhao / sapcu
  Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation (CVPR 2022)
  ☆44Updated last year
• guochengqian / PU-GCN
  [CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks
  ☆187Updated 2 years ago
• ninaqy / PUGeo
  ☆27Updated 3 years ago
• zwb0 / PointLIE
  PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery (IJCAI 2021)
  ☆18Updated 4 years ago
• junjun-jiang / 3D-Point-Cloud-Completion-Benchmark
  A list of 3D point cloud completion resources.
  ☆40Updated 3 years ago
• Sangminhong / ACL-SPC_PyTorch
  Official implementation of the paper "ACL-SPC: Adaptive Closed-Loop system for Self-Supervised Point Cloud Completion" (CVPR 2023)
  ☆39Updated 2 years ago
• xnowbzhao / PU-SSAS
  Self-Supervised Arbitrary-Scale Implicit Point Clouds Upsampling (TPAMI 2023)
  ☆14Updated 2 years ago
• yztang4 / WarpingGAN
  The pytorch implementation of CVPR 2022 paper: "WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation".
  ☆37Updated 3 years ago
• mmspg / pointssim
  ☆48Updated 2 years ago
• diegovalsesia / XMFnet
  Code for "Cross-modal Learning for Image-Guided Point Cloud Shape Completion" (NeurIPS 2022)
  ☆61Updated 2 years ago
• InterDigitalInc / FESTA
  Source code for the paper "FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds"
  ☆18Updated 4 years ago
• haibo-qiu / CDFormer
  Code for "Collect-and-Distribute Transformer for 3D Point Cloud Analysis"
  ☆15Updated 2 years ago
• AllenXiangX / SPD_jittor
  (TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer, implemented in Jittor
  ☆20Updated 2 years ago
• ninaqy / Flexible-PU
  This is the official implementation for "Deep Magnification-Flexible Upsampling over3D Point Clouds".
  ☆13Updated 3 years ago
• luost26 / score-denoise
  Score-Based Point Cloud Denoising (ICCV 2021)
  ☆197Updated 3 years ago
• EasyRy / RepKPU
  Point Cloud Upsampling with Kernel Point Representation and Deformation
  ☆40Updated last year
• AllenXiangX / SnowflakeNet
  (TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer
  ☆184Updated last year
• HaolinLiu97 / PUGAN-pytorch
  Pytorch unofficial implementation of PUGAN (a Point Cloud Upsampling Adversarial Network, ICCV, 2019)
  ☆86Updated 2 years ago
• liruihui / Dis-PU
  Point Cloud Upsampling via Disentangled Refinement, CVPR, 2021
  ☆72Updated 4 years ago
• diviswen / Cycle4Completion
  ☆34Updated 4 years ago
• rhtm02 / PU-Transformer
  Unofficial Implement PU-Transformer
  ☆19Updated 3 years ago
• weiyithu / PV-RAFT
  [CVPR 2021] PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds
  ☆81Updated 2 years ago
• lyqun / PU-Net_pytorch
  PyTorch Implementation of PU-Net. PU-Net: Point Cloud Upsampling Network, CVPR 2018
  ☆93Updated last year
• paul007pl / VRCNet
  [CVPR 2021 Oral] Variational Relational Point Completion Network
  ☆171Updated 3 years ago
• dongbo-BUAA-VR / Pointfilter
  Pointfilter: Point Cloud Filtering via Encoder-Decoder Modeling
  ☆62Updated 4 years ago
• zademn / PU-GCN-pytorch
  Rewriting the PU-GCN paper in pytorch and enhancing it
  ☆21Updated last year
• yunhe20 / D-PCC
  This is the official PyTorch implementation of our paper "Density-preserving Deep Point Cloud Compression" (CVPR 2022).
  ☆70Updated 2 years ago