Shape Matching of Real 3D Object Data to Synthetic 3D CADs (3DV project @ ETHZ)

Last update: Jun 22, 2022

Related tags

Deep Learning Real2CAD-3DV

Overview

Real2CAD-3DV

Shape Matching of Real 3D Object Data to Synthetic 3D CADs (3DV project @ ETHZ)

Group Member: Yue Pan, Yuanwen Yue, Bingxin Ke, Yujie He

Supervisor: Dr. Iro Armeni, Shengyu Huang

report | presentation | demo

Data preparation and preprocessing

TBA

How to use

Train the model, monitor it via wandb

cd ./src
# configure the path and parameters in train_scannet.sh 
bash train_scannet.sh

Evaluate the model on ScanNet or 2D3DS dataset

# configure the path and parameters in eval_xxx.sh
bash eval_scannet.sh
bash eval_2d3ds.sh

Related Projects

We thanks greatly for the following projects for the backbone and the datasets.

Owner

GitHub Repository

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Shape Matching of Real 3D Object Data to Synthetic 3D CADs (3DV project @ ETHZ)

Related tags

Overview

Real2CAD-3DV

Data preparation and preprocessing

How to use

Related Projects

Owner

This is my research project for the Irving Center for Cancer Dynamics/Azizi Lab, Columbia University.

Face recognition system using MTCNN, FACENET, SVM and FAST API to track participants of Big Brother Brasil in real time.

Bridging Composite and Real: Towards End-to-end Deep Image Matting

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

Keyword-BERT: Keyword-Attentive Deep Semantic Matching

HackBMU-5.0-Team-Ctrl-Alt-Elite - HackBMU 5.0 Team Ctrl Alt Elite

Create Data & AI apps in 20 lines of code with Shimoku

UV matrix decompostion using movielens dataset

DeepGNN is a framework for training machine learning models on large scale graph data.

Code for Learning Manifold Patch-Based Representations of Man-Made Shapes, in ICLR 2021.

Line-level Handwritten Text Recognition (HTR) system implemented with TensorFlow.

Data Engineering ZoomCamp

Label-Free Model Evaluation with Semi-Structured Dataset Representations

This is the official code for the paper "Learning with Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision"

Minimal But Practical Image Classifier Pipline Using Pytorch, Finetune on ResNet18, Got 99% Accuracy on Own Small Datasets.

Clustergram - Visualization and diagnostics for cluster analysis in Python

A Python library created to assist programmers with complex mathematical functions

Demos of essentia classifiers hosted on replicate.ai

PyTorch implementation for ComboGAN

This repository contains all the code and materials distributed in the 2021 Q-Programming Summer of Qode.