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Zhejiang University
- Ningbo, China
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19:24
(UTC +08:00) - blackbird2003.github.io
- https://codeforces.com/profile/_vv123
- https://space.bilibili.com/170598852
Highlights
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Stars
Open3D: A Modern Library for 3D Data Processing
An extension of Open3D to address 3D Machine Learning tasks
This is a project based on an accepted paper "Weighted Poisson-disk Resampling on Large-Scale Point Clouds"
Object-oriented pure Python B-Spline and NURBS library
Object-oriented NURBS curve and surface evaluation library. To cite this software publication: https://www.sciencedirect.com/science/article/pii/S2352711018301778.
Un-official and WIP Implementation of the Neural Mesh Simplification paper
[NeurIPS'2024]: DiffGS: Functional Gaussian Splatting Diffusion
[ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning
Official repository for paper "SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity", CVPR 2025
🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)
[ECCV 2022] Meta-Sampler: Almost Universal yet Task-Oriented Sampling for Point Clouds
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020)
Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023
Primal-Dual Mesh Convolutional Neural Networks
Subdivision-based Mesh Convolutional Networks.
This repository houses my Advanced Graphics assignments. It contains Loop Subdivision using Halfedge Mesh Data Structures, Spherical Conformal Mapping also using halfedge structures, and analyses o…
This repository is replica of MeshCNN official repo made with the intent to be a tutorial at 3D Vision Summer School 2025
Divya9Sasidharan / MedMeshCNN
Forked from LSnyd/MedMeshCNNConvolutional Neural Network for medical 3D meshes in PyTorch
Differentiable Point Cloud Sampling (CVPR 2020 Oral)
A learned sampling approach for point clouds (CVPR 2019)
Learnable Skeleton-Aware 3D Point Cloud Sampling
B Spline curve interpolation and least squares fit cubic spline smoothing interpolation, refer THE NURBS BOOK
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)