wfchen-umich

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

oasis

Code for the CVPR 2020 paper "OASIS: A Large-Scale Dataset for Single Image 3D in the Wild"

relative_depth

Code for the NIPS 2016 paper

surface_normals

Code for the ICCV 2017 paper "Surface Normals in the Wild"

YouTube3D

Code for the CVPR 2019 paper "Learning Single-Image Depth from Videos using Quality Assessment Networks"

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

relative_depth

Code for the NIPS 2016 paper "Single-Image Depth Perception in the Wild"

wfchen.github.io

wfchen-umich/relative_depth

Code for the NIPS 2016 paper "Single-Image Depth Perception in the Wild"

wfchen-umich/amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

wfchen-umich/wfchen.github.io