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

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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

Inhomogeneous Social Recommendation with Hypergraph Convolutional Networks

Awesome Monocular 3D detection

This is an early in-development version of training CLIP models with hivemind.

Code for database and frontend of webpage for Neural Fields in Visual Computing and Beyond.

Open-source code for Generic Grouping Network (GGN, CVPR 2022)

Code of the paper "Multi-Task Meta-Learning Modification with Stochastic Approximation".

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PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"

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