KITTI-360

Submit

Method

Point-Based Neural Rendering with Per-View Optimization [PBNR]
https://gitlab.inria.fr/sibr/projects/pointbased_neural_rendering

Submitted on 6 Feb. 2022 16:18 by
Yiyi Liao (MPI)

Running time:		0.1 s
Environment:		1 core @ 2.5 Ghz (C/C++)

Method Description:

The differentiable point-based pipeline allows optimization of attributes
such as reprojected features or depth in each input view.

Parameters:

None

Latex Bibtex:

@Article{KPLD21,
author = "Kopanas, Georgios and Philip, Julien and Leimkühler,
Thomas and Drettakis, George",
title = "Point-Based Neural Rendering with Per-View
Optimization",
journal = "Computer Graphics Forum (Proceedings of the
Eurographics Symposium on Rendering)",
number = "4",
volume = "40",
month = "June",
year = "2021",
url = "http://www-sop.inria.fr/reves/Basilic/2021/KPLD21"}

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
19.91	0.811	0.191

Error