kangya998's repositories
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"
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)
Dis-PU-1
Unofficial Pytorch Implement Dis-PU
fastonn
FastONN - Python based open-source GPU implementation for Operational Neural Networks
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).
learning_research
本人的科研经验
Mesh_Segmentation
some materials about mesh processing, including papers, videos, codes, and so on. Updating every day!
MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
nerf
Code release for NeRF (Neural Radiance Fields)
NowcoderForum
仿牛客网实现一个论坛
PC2-PU
ACM MM 2022
point-cloud-utils
A Python library for common tasks on 3D point clouds
Point-M2AE
[NeurIPS 2022] Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
Point-MAE
[ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning
PointTransformerV2
[NeurIPS 2022] An official PyTorch implementation of PTv2, also a codebase for point cloud perception research and is updated here ->
polyscope
A C++ & Python viewer for 3D data like meshes and point clouds
PSCU
Parametric Surface Constrained Upsampler Network for Point Cloud
PU-GCN-pytorch
(Work in progress) Rewriting the PU-GCN paper in pytorch and enhancing it
PU-Transformer
Unofficial Implement PU-Transformer
PUFA-GAN
"PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point Cloud Upsampling" is accepted by IEEE TIP 2022.
puflow
PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows (TVCG 2022)
PUGAN-pytorch
Pytorch unofficial implementation of PUGAN (a Point Cloud Upsampling Adversarial Network, ICCV, 2019)
sapcu
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation
SPU-Net
SPU-Net: Self-supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction with Self-Projection Optimization
ZSPU
[ICME 2022]: "Zero-Shot" Point Cloud Upsampling