Frames from Green Seas Dataset

First column shows the input HDR frames (PQ->Linear->RGB_709).

Second column shows the target SDR frames.

Third column shows the predicted results for HDRNet.

Fourth and fifth column shows the results for 3 dimensions using PCA and VAE respectively.

Finally we show the results using our method in the last column.

You can toggle between the predicted and the target image by clicking on the images. Moreover, you can rearrange the images in increasing or decreasing order of the metrics.

ID	Input HDR Frame	Target SDR Frame	HDRNet	PSNR 26.106	FLIP 0.202	Delta E 2000 5.664	PCA_3_dimensions	PSNR 16.362	FLIP 0.418	Delta E 2000 16.877	Var_AutoEncoder_3_latents	PSNR 25.342	FLIP 0.228	Delta E 2000 10.986	Ours	PSNR 38.141	FLIP 0.082	Delta E 2000 3.204
000503				28.126	0.109	2.976		14.956	0.380	9.913		27.088	0.114	5.489		39.020	0.053	1.945
000506				36.053	0.092	2.454		15.257	0.414	15.124		22.117	0.302	20.252		36.136	0.104	4.690
000509				35.679	0.092	2.190		18.630	0.415	14.640		19.525	0.384	25.132		33.574	0.129	6.142
000512				37.038	0.073	2.296		18.547	0.368	13.320		25.483	0.273	15.720		39.919	0.089	3.280
000515				29.285	0.076	2.683		19.614	0.195	7.277		24.818	0.164	9.391		37.905	0.063	2.848
000518				36.327	0.084	3.000		19.861	0.344	13.850		24.746	0.270	16.029		38.988	0.090	4.078
000521				33.791	0.099	3.191		21.255	0.409	17.943		22.622	0.318	17.788		36.944	0.109	4.961
000524				28.422	0.128	3.847		17.841	0.347	11.334		25.176	0.245	10.449		39.139	0.080	2.320
000527				29.903	0.103	3.830		20.205	0.198	12.018		23.070	0.146	11.683		35.160	0.067	4.339
000530				31.783	0.071	2.207		22.811	0.155	5.401		25.118	0.107	7.716		33.608	0.059	4.141
000533				31.535	0.099	3.213		21.092	0.295	8.586		22.826	0.266	7.707		36.657	0.090	2.289
000536				32.728	0.112	3.171		12.854	0.571	23.088		18.429	0.428	18.333		32.928	0.152	7.330
000539				22.790	0.278	7.029		14.508	0.426	15.613		21.680	0.319	19.600		35.898	0.105	4.045
000542				27.433	0.128	3.575		24.819	0.161	6.879		23.861	0.131	9.875		34.879	0.061	3.919
000545				23.020	0.236	5.394		13.664	0.554	22.669		17.466	0.479	21.345		31.658	0.161	8.121
000548				16.943	0.420	10.721		15.748	0.411	14.122		28.813	0.215	6.259		43.044	0.068	1.379
000551				16.094	0.435	11.485		14.476	0.379	17.058		22.070	0.306	13.180		36.059	0.102	4.300
000554				29.300	0.085	1.981		29.777	0.105	4.854		25.127	0.111	7.633		33.330	0.061	4.162
000557				22.317	0.171	4.378		18.718	0.177	11.189		25.009	0.112	5.689		34.860	0.053	2.972
000560				21.731	0.160	4.111		20.213	0.158	6.562		26.252	0.096	6.150		33.249	0.053	3.746
000563				25.243	0.189	5.440		10.332	0.560	22.467		31.253	0.208	6.239		45.376	0.069	1.442
000566				23.044	0.263	6.200		12.188	0.543	20.040		20.296	0.367	24.076		34.317	0.126	5.207
000569				21.926	0.217	6.761		13.353	0.614	19.692		26.032	0.286	13.104		40.434	0.096	2.362
000572				9.478	0.804	25.830		2.340	0.958	51.953		18.338	0.532	14.815		32.965	0.171	2.867
000575				16.637	0.466	13.194		6.539	0.741	38.590		29.430	0.173	4.180		43.815	0.050	1.080
000578				27.016	0.094	1.987		6.669	0.726	36.088		29.690	0.136	2.752		38.499	0.050	1.182
000581				20.617	0.285	7.106		11.117	0.641	21.272		31.105	0.213	5.024		45.281	0.071	1.146
000584				28.184	0.117	2.544		28.983	0.129	2.688		30.060	0.074	3.512		37.954	0.045	1.602
000587				17.569	0.390	10.743		8.761	0.702	27.835		31.786	0.151	2.663		45.289	0.054	0.724
000590				27.079	0.162	5.958		19.245	0.250	8.998		27.691	0.128	7.614		40.889	0.052	2.230
000593				23.783	0.249	6.888		17.370	0.332	11.262		36.774	0.086	3.525		50.824	0.043	1.235
000596				27.114	0.156	4.195		7.701	0.800	36.074		28.495	0.160	3.607		41.977	0.058	1.051
000599				23.499	0.232	6.321		20.514	0.335	8.550		24.048	0.237	16.006		38.073	0.086	2.611
000602				22.832	0.216	6.100		24.405	0.222	5.986		38.893	0.096	1.728		52.759	0.038	0.734