Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)

The official implementation of "GRNet: Gridding Residual Network for Dense Point Cloud Completion". (ECCV 2020)

(TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer

A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion

[CVPR 2021 Oral] Variational Relational Point Completion Network

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

ProxyFormer (CVPR 2023)

Code for "Cross-modal Learning for Image-Guided Point Cloud Shape Completion" (NeurIPS 2022)

CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers

SPVD: Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion Models

Point cloud completion tool based on dictionary learning. Takes a PCL point cloud surface and fills in gaps or densifies sparse regions by learning from the various surface features of the cloud. This is done using a variation of the k-SVD dictionary learning algorithm that allows for continuous atoms and dealing with unstructured point cloud da…

SAUM: Symmetry-Aware Upsampling Module for Consistent Point Cloud Completion (ACCV 2020)

[AAAI2026] An official repository of Simba: Towards High-Fidelity and Geometrically-Consistent Point Cloud Completion via Transformation Diffusion

Progressive Growing of Points with Tree-structured Generators (BMVC 2021)

ESCAPE: Equivariant Shape Completion via Anchor Point Encoding

[SIGGRAPH Aisa 2022 Conference Paper] Shape Completion with Points in the Shadow

Learning-based partial point cloud completion system using kernel points convolution

Viewer-centered Completion Network (VCN). Pose estimation and completion of objects from the sensor's frame of reference

[CVPR 2025] SuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization

Deep Learning based 6D Object Pose Estimation using Mask R-CNN for instance segmentation and Point Cloud Completion for robust RGB-D pose prediction. Implements rotation and translation regression with ADD / ADD-S evaluation metrics using PyTorch, OpenCV, and Open3D.