Path Tracing Denoising v1

Benchmark measuring performance denoising Monte Carlo renderings.

2 samples-per-pixel, long sequences

Method	Dataset	PSNR	SSIM	MS-SSIM	FVVDP	ꟻLIP↓
NPPD-small-2spp	Test8 v1	28.3952	0.87283	0.95905	7.35612	0.10702

4 samples-per-pixel, long sequences

Method	Dataset	PSNR	SSIM	MS-SSIM	FVVDP	ꟻLIP↓
NPPD-small-4spp	Test8 v1	29.3461	0.88300	0.96597	7.66470	0.09624

8 samples-per-pixel, long sequences

Method	Dataset	PSNR	SSIM	MS-SSIM	FVVDP	ꟻLIP↓
NPPD-large-8spp	Test8 v1	30.3686	0.89657	0.97347	7.96943	0.08451

32 samples-per-pixel, short sequences

Method	Dataset	PSNR	SSIM	MS-SSIM	FVVDP	ꟻLIP↓
NPPD-large-32spp	Test32 v1	32.5832	0.92474	0.98520	8.51527	0.06371