ricepudding12138

DualOctreeGNN

Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations

DiGS

Code for "DiGS: Divergence guided shape implicit neural representation for unoriented point clouds" (CVPR2022)

idf

implicit displacement field

NeuralPull

Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces

drwr

CAP-UDF

[TPAMI'2024 / NeurIPS'2022]: CAP-UDF: Learning Unsigned Distance Functions Progressively from Raw Point Clouds with Consistency-Aware Field Optimization

Point-BERT

[CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling

OmniObject3D

[ CVPR 2023 Award Candidate ] OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation

GridPull

Neural-IMLS

Neural-IMLS: Self-supervised Implicit Moving Least-Squares Network for Surface Reconstruction (IEEE Transactions on Visualization and Computer Graphics, TVCG)

Gaussian-Processes

高斯分布和高斯过程拟合实现

NeuralPull-Pytorch

Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces

OnSurfacePrior

Implementation of CVPR'2022:Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors

PredictableContextPrior

Implementation of CVPR'2022:Surface Reconstruction from Point Clouds by Learning Predictive Context Priors

Noise2NoiseMapping

[ICML'23 Oral] Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping

LevelSetUDF

[ICCV'2023]: Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection

efficient-kan

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

PF-Net-Point-Fractal-Network

CVPR2020 PF-Net: Point Fractal Network for 3D Point Cloud Completion

CRA-PCN

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

ACL-SPC_PyTorch

Official implementation of the paper "ACL-SPC: Adaptive Closed-Loop system for Self-Supervised Point Cloud Completion" (CVPR 2023)

disp3d

Learning Local Displacements for Point Cloud Completion - CVPR 2022

MSN-Point-Cloud-Completion

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

shape-inversion

[CVPR 2021] Unsupervised 3D Shape Completion through GAN Inversion

DeepSDF

An implementation of implicit representation, Signed Distance Function (SDF) representation

IGR

Implicit Geometric Regularization for Learning Shapes

common-3d-test-models

Repository containing common 3D test models in original format with original source if known and obj mesh

assimp

The official Open-Asset-Importer-Library Repository. Loads 40+ 3D-file-formats into one unified and clean data structure.

deep-geometric-prior

The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"

surface_reconstruction_from_PointCloud

This project implements a neural network model for reconstructing 3D surfaces, based on the DeepSDF architecture from CVPR 2019. It uses a deep, fully-connected neural network (Decoder) to learn Signed Distance Functions (SDFs) from 3D point clouds.

CVPR2020-SDFDiff

SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization