KITTI-360

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Method

PointNeRF++: A multi-scale, point-based Neural Radiance Field. [PointNeRF++]
https://pointnerfpp.github.io/

Submitted on 13 May. 2024 15:59 by
weiwei sun (the university of british columbia)

Running time:		20 s
Environment:		1 core @ 2.5 Ghz (C/C++)

Method Description:

A multi-scale, point-based neural radiance field that
allows for leveraging point cloud regardless of it's low
quality (e.g., LIDAR with large incomplete space).

Parameters:

Please check out our paper for more details.

Latex Bibtex:

@article{sun2023pointnerf++,
title={PointNeRF++: A multi-scale, point-based Neural
Radiance Field},
author={Sun, Weiwei and Trulls, Eduard and Tseng,
Yang-Che and Sambandam, Sneha and Sharma, Gopal
and Tagliasacchi, Andrea and Yi, Kwang Moo},
journal={European Conference on Computer Vision},
year={2024}
}

Detailed Results

This page provides detailed results for the method(s) selected. For the first 10 test images, we display the synthesized image and an error image. The error image visualizes the SSIM at every pixel. As the range of SSIM is within [-1,1] with 1 indicating the best performance and -1 indicating the worst, we visualize 1 - (1 + SSIM) / 2 such that bright region means large error and dark means low error.

Test Set Average

PSNR	SSIM	LPIPS
22.44	0.828	0.212

Error