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Method

Holistic Urban 3D Scene Understanding via Gaussian Splatting [HUGS]
[Anonymous Submission]

Submitted on 2 Dec. 2023 02:05 by
[Anonymous Submission]

Running time:		0.02 s
Environment:		1 core @ 2.5 Ghz (C/C++)

Method Description:

Our method can simultaneously synthesize novel view
appearance and
semantics in a single model. To enhance the synergy
between these two
tasks, we incorporated additional cues and regularization
techniques.

Parameters:

Latex Bibtex:

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
23.38	0.870	0.121

Error