kangya998

3D-PointCloud

Papers and Datasets about Point Cloud.

3DVision

3PU

Patch-base progressive 3D Point Set Upsampling

3PU_pytorch

pytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<

AnimeGAN

A StyleGAN2 Implementation to generate Anime Characters

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

apusmog

Code for the 3DV 2022 oral paper "Arbitrary Point Cloud Upsampling with Spherical Mixture of Gaussians"

chamferdist

Pytorch package to compute Chamfer distance between point sets (pointclouds).

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-rs

Deep Point Set Resampling via Gradient Fields (T-PAMI)

kangya998/3DVision

kangya998/annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

kangya998/apusmog

Code for the 3DV 2022 oral paper "Arbitrary Point Cloud Upsampling with Spherical Mixture of Gaussians"

kangya998/deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

kangya998/deep-rs

Deep Point Set Resampling via Gradient Fields (T-PAMI)

kangya998/Dis-PU-1

Unofficial Pytorch Implement Dis-PU

kangya998/fastonn

FastONN - Python based open-source GPU implementation for Operational Neural Networks

kangya998/Grad-PU

This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions" (CVPR 2023).

kangya998/learning_research

本人的科研经验

kangya998/Mesh_Segmentation

some materials about mesh processing, including papers, videos, codes, and so on. Updating every day!

kangya998/MinkowskiEngine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

kangya998/nerf

Code release for NeRF (Neural Radiance Fields)

kangya998/NowcoderForum

仿牛客网实现一个论坛

kangya998/PC2-PU

ACM MM 2022

kangya998/point-cloud-utils

A Python library for common tasks on 3D point clouds

kangya998/Point-M2AE

[NeurIPS 2022] Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training

kangya998/Point-MAE

[ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning

kangya998/PointTransformerV2

[NeurIPS 2022] An official PyTorch implementation of PTv2, also a codebase for point cloud perception research and is updated here ->

kangya998/polyscope

A C++ & Python viewer for 3D data like meshes and point clouds

kangya998/PSCU

Parametric Surface Constrained Upsampler Network for Point Cloud

kangya998/PU-CycGAN

kangya998/PU-GCN-pytorch

(Work in progress) Rewriting the PU-GCN paper in pytorch and enhancing it

kangya998/PU-Transformer

Unofficial Implement PU-Transformer

kangya998/PUFA-GAN

"PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point Cloud Upsampling" is accepted by IEEE TIP 2022.

kangya998/puflow

PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows (TVCG 2022)

kangya998/PUGAN-pytorch

Pytorch unofficial implementation of PUGAN (a Point Cloud Upsampling Adversarial Network, ICCV, 2019)

kangya998/PUGeoNet_pytorch

kangya998/sapcu

Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation

kangya998/SPU-Net

SPU-Net: Self-supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction with Self-Projection Optimization

kangya998/ZSPU

[ICME 2022]: "Zero-Shot" Point Cloud Upsampling