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

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

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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

StyleGAN2-ADA - Official PyTorch implementation

The fastest way to visualize GradCAM with your Keras models.

Efficient 3D human pose estimation in video using 2D keypoint trajectories

Self-Guided Contrastive Learning for BERT Sentence Representations

ComPhy: Compositional Physical Reasoning ofObjects and Events from Videos

A simple approach to emable dense segmentation with ViT.

pytorch implementation of the ICCV'21 paper "MVTN: Multi-View Transformation Network for 3D Shape Recognition"

Kinetics-Data-Preprocessing

Cookiecutter PyTorch Lightning

Single Image Deraining Using Bilateral Recurrent Network (TIP 2020)

Deep metric learning methods implemented in Chainer

Find the Heart simple Python Game

Unofficial TensorFlow implementation of Protein Interface Prediction using Graph Convolutional Networks.

Unsupervised 3D Human Mesh Recovery from Noisy Point Clouds

This repository contains all data used for writing a research paper Multiple Object Trackers in OpenCV: A Benchmark, presented in ISIE 2021 conference in Kyoto, Japan.

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