Collection of Summer 2025 tech internships!

Instant neural graphics primitives: lightning fast NeRF and more

Python code for OpenCV and Aruco tests and examples

The official implementation of the "HyperPocket: Generative Point Cloud Completion" paper in PyTorch

Code for 3D Reconstruction of Novel Object Shapes from Single Images paper

A Graph Neural Network project on HIV data

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images 🎯 (NeurIPS 2020)

Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.

Official Code: 3D Scene Reconstruction from a Single Viewport

List of projects for 3d reconstruction

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

High Quality Monocular Depth Estimation via Transfer Learning

A pattern-based approach for learning technical interview questions

Using deep learning to estimate food volume from an input image.

This will be an image based reconstruction model for generating 3D volume approximations from 2D monocular image feeds.

Food object detection with base Faster R-CNN TensorFlow model with k-fold cross validation, resulting in volume estimation and producing caloric data.

SJTU-CS386 Digital Image Processing Course Project

The network inputs a 2D X-ray Image from 1/2/3 different views and outputs a 3D CT Volume.

This repository is no longer maintained.

A simple implementation of neural image caption generator