KITTI-360

We select 5 static scenes with a driving distance of ∼ 50 meters each for evaluating NVS at a 50% drop rate. We select one frame every ∼ 0.8 meters driving distance (corresponding to the overall average distance between frames) to avoid redundancy when the vehicle is slow. We release 50% of the frames for training and retain 50% for evaluation. Our evaluation table ranks all methods according to the peak signal-to-noise ratio (PSNR). We also evaluate structural similarity index (SSIM) and perceptual smilarity (LPIPS).

• PSNR: Peak signal-to-noise ratio
• SSIM: Structural similarity index
• LPIPS: Perceptual Similarity using AlexNet

	Method	Setting	Code	PSNR	SSIM	LPIPS	Runtime	Environment
1	HUGS			23.38	0.870	0.121	0.02 s	1 core @ 2.5 Ghz (C/C++)
2	Video2Game		code	23.13	0.848	0.175	1.0 s	1 core @ 2.5 Ghz (C/C++)
3	AIR-SURF		code	23.09	0.857	0.174	1.3 s	1 core @ 2.5 Ghz (C/C++)
4	MVSRegNeRF			22.48	0.829	0.256	2 s	1 core @ 2.5 Ghz (C/C++)
F. Bian, S. Xiong, R. Yi and L. Ma: Multi-view stereo-regulated NeRF for urban scene novel view synthesis. The Visual Computer 2024.
5	PNF			22.07	0.820	0.221	15 s	GPU @ 2.5 Ghz (Python)
A. Kundu, K. Genova, X. Yin, A. Fathi, C. Pantofaru, L. Guibas, A. Tagliasacchi, F. Dellaert and T. Funkhouser: Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation. CVPR 2022.
6	mip-NeRF		code	21.54	0.778	0.365	10 s	1 core @ 2.5 Ghz (Python)
J. Barron, B. Mildenhall, M. Tancik, P. Hedman, R. Martin-Brualla and P. Srinivasan: Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields. ICCV 2021.
7	NeRF		code	21.18	0.779	0.343	10 s	1 core @ 2.5 Ghz (Python)
B. Mildenhall, P. Srinivasan, M. Tancik, J. Barron, R. Ramamoorthi and R. Ng: NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis. ECCV 2020.
8	FVS		code	20.00	0.790	0.193	0.2 s	1 core @ 2.5 Ghz (C/C++)
G. Riegler and V. Koltun: Free View Synthesis. ECCV 2020.
9	PBNR		code	19.91	0.811	0.191	0.1 s	1 core @ 2.5 Ghz (C/C++)
G. Kopanas, J. Philip, T. Leimkühler and G. Drettakis: Point-Based Neural Rendering with Per-View Optimization. Computer Graphics Forum (Proceedings of the Eurographics Symposium on Rendering) 2021.
10	Point-NeRF		code	19.44	0.796	0.266	1 s	1 core @ 2.5 Ghz (C/C++)
Q. Xu, Z. Xu, J. Philip, S. Bi, Z. Shu, K. Sunkavalli and U. Neumann: Point-nerf: Point-based neural radiance fields. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022.
11	PCL			12.81	0.576	0.549	0.2 s	1 core @ 2.5 Ghz (C/C++)
Y. Liao, J. Xie and A. Geiger: KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D. ARXIV 2021.