ShihMengLi

3D-Photo-Inpainting

mc-cnn

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

consistent_depth

We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.

ddg-exercises

Assignment skeleton for course on Discrete Differential Geometry (15-458/858)

DIGITS

Deep Learning GPU Training System

DORN

DynaSLAM

DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups

edge-connect

EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning. https://arxiv.org/abs/1901.00212

focal-loss

Focal loss for Dense Object Detection

google-research

Google AI Research

KITTI_SSD

SSD detection for KITTI

MegaDepth

Code of single-view depth prediction algorithm on Internet Photos described in "MegaDepth: Learning Single-View Depth Prediction from Internet Photos, Z. Li and N. Snavely, CVPR 2018".

Mono-3DT

Webpage of Joint Monocular 3D Detection and Tracking

nerf

Code release for NeRF (Neural Radiance Fields)

Parallel-Programming-HW1

Parallel-Programming-lab2

Parallel_Programming_lab2

paxos-final-project

Pillow

The friendly PIL fork (Python Imaging Library)

places365

The Places365-CNNs for Scene Classification

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

RetinaNet

Focal loss for Dense Object Detection

SfMLearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

SfmLearner-Pytorch

Pytorch version of SfmLearner from Tinghui Zhou et al.

ShihMengLi.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

StackGAN

StructureFlow

Code for paper "StructureFlow: Image Inpainting via Structure-aware Appearance Flow"

tensorpack

Neural Network Toolbox on TensorFlow

vision

Datasets, Transforms and Models specific to Computer Vision