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ClusteringSDF: Self-Organized Neural Implicit Surfaces for 3D Decomposition

Tianhao Wu · Chuanxia Zheng · Qianyi Wu . Tat-Jen Cham

ECCV 2024

Setup

Installation

This code has been tested on Ubuntu 22.02 with torch 2.0 & CUDA 11.7.

cd ClusteringSDF
conda create -y -n clusteringsdf python=3.9
conda activate clusteringsdf
pip install -r requirements.txt

Dataset

The data are obtained same as Panoptic Lifting. We have resized the images in our paper and modified the camera pose accordingly to meet computing resource constraint, which can be adjusted in the config file. Depth and normal guidance are obtained from omnidata. You can download the sample Replica data here.

Training and inference

cd code
bash train.sh
bash inference.sh

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