DRL_PROJ/generator/outputs/samples/final_showcase/selected_top3.csv

1	run	architecture	grid	grid_index	tile_index	row	col	source_path	score	mean	std	saturation	sharpness	exposure_score	contrast_score	detail_score	color_score	rank	tile_path
2	p5_ddpm	DDPM - cosine v-pred wider	grid_0020.png	20	7	1	2	outputs\samples\final_comparison\p5_ddpm\grid_0020.png	0.9943782195448875	0.4740034341812134	0.24226152896881104	0.5552682280540466	0.011902406811714172	0.9812607318162918	1.0	1.0	1.0	1	outputs\samples\final_showcase\top_tiles\p5_ddpm\rank_01_grid_0020_tile_07.png
3	p5_ddpm	DDPM - cosine v-pred wider	grid_0018.png	18	7	1	2	outputs\samples\final_comparison\p5_ddpm\grid_0018.png	0.9916329786181449	0.471075177192688	0.24396774172782898	0.457231342792511	0.012744851410388947	0.97210992872715	1.0	1.0	1.0	2	outputs\samples\final_showcase\top_tiles\p5_ddpm\rank_02_grid_0018_tile_07.png
4	p5_ddpm	DDPM - cosine v-pred wider	grid_0008.png	8	9	2	0	outputs\samples\final_comparison\p5_ddpm\grid_0008.png	0.9835371665656567	0.483590304851532	0.2652520537376404	0.346821129322052	0.009857337921857834	0.9887802973389626	1.0	1.0	0.9126871824264526	3	outputs\samples\final_showcase\top_tiles\p5_ddpm\rank_03_grid_0008_tile_09.png
5	p5_gan	GAN - WGAN-GP + SN + Attn	grid_0012.png	12	6	1	1	outputs\samples\final_comparison\p5_gan\grid_0012.png	0.9931557374587933	0.4784943461418152	0.26595890522003174	0.5266944169998169	0.008175451308488846	0.9952948316931725	1.0	0.9782691518033664	1.0	1	outputs\samples\final_showcase\top_tiles\p5_gan\rank_01_grid_0012_tile_06.png
6	p5_gan	GAN - WGAN-GP + SN + Attn	grid_0013.png	13	6	1	1	outputs\samples\final_comparison\p5_gan\grid_0013.png	0.9891186870634555	0.4683932662010193	0.25315365195274353	0.42203789949417114	0.012284314259886742	0.9637289568781853	1.0	1.0	1.0	2	outputs\samples\final_showcase\top_tiles\p5_gan\rank_02_grid_0013_tile_06.png
7	p5_gan	GAN - WGAN-GP + SN + Attn	grid_0020.png	20	6	1	1	outputs\samples\final_comparison\p5_gan\grid_0020.png	0.9824905775487424	0.49867671728134155	0.2486007660627365	0.3911525011062622	0.02533857524394989	0.9416352584958076	1.0	1.0	1.0	3	outputs\samples\final_showcase\top_tiles\p5_gan\rank_03_grid_0020_tile_06.png
8	p5_vae	VAE - perceptual + PatchGAN	grid_0010.png	10	6	1	1	outputs\samples\final_comparison\p5_vae\grid_0010.png	0.9116364613990301	0.4356265366077423	0.24881285429000854	0.2984734773635864	0.007039450109004974	0.8613329268991947	1.0	0.9416724216903715	0.785456519377859	1	outputs\samples\final_showcase\top_tiles\p5_vae\rank_01_grid_0010_tile_06.png
9	p5_vae	VAE - perceptual + PatchGAN	grid_0020.png	20	16	3	3	outputs\samples\final_comparison\p5_vae\grid_0020.png	0.9072376066109756	0.4530244469642639	0.20702789723873138	0.5726377367973328	0.0058115217834711075	0.9157013967633247	0.8626162384947141	0.8949692641342557	1.0	2	outputs\samples\final_showcase\top_tiles\p5_vae\rank_02_grid_0020_tile_16.png
10	p5_vae	VAE - perceptual + PatchGAN	grid_0013.png	13	1	0	0	outputs\samples\final_comparison\p5_vae\grid_0013.png	0.901039089333058	0.4923376142978668	0.19744431972503662	0.40606826543807983	0.005098136607557535	0.9614449553191662	0.822684665520986	0.8632008123240492	1.0	3	outputs\samples\final_showcase\top_tiles\p5_vae\rank_03_grid_0013_tile_01.png