KITTI-360

Method

Point Cloud-based Image Synthesis [st] [PCL]


Submitted on 6 Feb. 2022 15:47 by
Yiyi Liao (MPI)

Running time:0.2 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
A point cloud-based rendering baseline implemented by
KITTI-360
authors. We project non-occluded colored points to test
viewpoints,
followed by nearest neighbor interpolation to fill in the
missing values.
Parameters:
none
Latex Bibtex:
@inproceedings{Liao2021Arxiv,
author = {Yiyi Liao and Jun Xie
and Andreas
Geiger},
title = {KITTI-360: A Novel
Dataset and
Benchmarks for Urban Scene Understanding in 2D and
3D},
booktitle = {ARXIV},
year = {2021},
}

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
12.81 0.576 0.549
This table as LaTeX

Test Image 0

Prediction

Error


Test Image 1

Prediction

Error


Test Image 2

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Test Image 3

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Test Image 4

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Test Image 5

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Test Image 6

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Test Image 7

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Test Image 8

Prediction

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Test Image 9

Prediction

Error





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