Pengcheng Yu's Projects
Single-View View Synthesis in the Wild with Learned Adaptive Multiplane Images, accepted by SIGGRAPH 2022.
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
A curated list of papers & resources linked to 3D reconstruction from images.
A paper list of object detection using deep learning.
Official code repository for the paper: “Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions”
Google Research
Grid-GCN for Fast and Scalable Point Cloud Learning
A PyTorch Library for Accelerating 3D Deep Learning Research
Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems).
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
Machine Learning for 3D Geometry
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks
Rewriting the PU-GCN paper in pytorch and enhancing it
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
PyTorch Tutorial for Deep Learning Researchers
PyTorch 1.0 官方文档 中文版,欢迎关注微信公众号:磐创AI
edition 2 of the slambook
Config files for my GitHub profile.
for git learning