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Adds more rate-distortion results for the minnen-2018-neurips model.
The model is from the paper: "Joint autoregressive and hierarchical priors for learned image compression" The new results include RD values for metrics that differ from the loss function (e.g. optimized for MS-SSIM and evaluated with PSNR). PiperOrigin-RevId: 405745486 Change-Id: I0cbb001edb40e446e03f5b2981b3dfd96554b8f1
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results/image_compression/kodak/MS-SSIM_sRGB_RGB/minnen-2018-neurips.txt renamed to results/image_compression/kodak/MS-SSIM_sRGB_RGB/minnen-2018-neurips-opt-mse.txt

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# lambda value.
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# 2. We often graph MS-SSIM values in dB for visual clarity using:
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# ms_ssim_db = -10 * log10(1 - ms_ssim).
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# 3. This model was optimized for RGB MSE.
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#
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# If you have questions or corrections, please contact:
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# David Minnen (dminnen@google.com) or George Toderici (gtoderici@google.com).
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# Aggregate rate-distortion data for "Minnen 2018 (NeurIPS)" on kodak.
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# The first column contains bits per pixel (bpp) values.
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# The second column contains MS-SSIM/sRGB/R'G'B' values.
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#
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# Notes:
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# 1. Aggregate values were calculated by averaging over a constant
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# lambda value.
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# 2. We often graph MS-SSIM values in dB for visual clarity using:
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# ms_ssim_db = -10 * log10(1 - ms_ssim).
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# 3. This model was optimized for RGB MS-SSIM.
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#
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# If you have questions or corrections, please contact:
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# David Minnen (dminnen@google.com) or George Toderici (gtoderici@google.com).
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0.092495, 0.926154
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0.196784, 0.963019
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0.392549, 0.983832
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0.580614, 0.989581
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0.755953, 0.992419
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0.945877, 0.994319
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1.195109, 0.995809
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1.425766, 0.996772
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1.982975, 0.998191
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2.641110, 0.999101

results/image_compression/kodak/MS-SSIM_sRGB_Y/minnen-2018-neurips.txt renamed to results/image_compression/kodak/MS-SSIM_sRGB_Y/minnen-2018-neurips-opt-mse.txt

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Original file line numberDiff line numberDiff line change
@@ -7,6 +7,7 @@
77
# lambda value.
88
# 2. We often graph MS-SSIM values in dB for visual clarity using:
99
# ms_ssim_db = -10 * log10(1 - ms_ssim).
10+
# 3. This model was optimized for RGB MSE.
1011
#
1112
# If you have questions or corrections, please contact:
1213
# David Minnen (dminnen@google.com) or George Toderici (gtoderici@google.com).
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Original file line numberDiff line numberDiff line change
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# Aggregate rate-distortion data for "Minnen 2018 (NeurIPS)" on kodak.
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# The first column contains bits per pixel (bpp) values.
3+
# The second column contains MS-SSIM/sRGB/Y' values.
4+
#
5+
# Notes:
6+
# 1. Aggregate values were calculated by averaging over a constant
7+
# lambda value.
8+
# 2. We often graph MS-SSIM values in dB for visual clarity using:
9+
# ms_ssim_db = -10 * log10(1 - ms_ssim).
10+
# 3. This model was optimized for RGB MS-SSIM.
11+
#
12+
# If you have questions or corrections, please contact:
13+
# David Minnen (dminnen@google.com) or George Toderici (gtoderici@google.com).
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0.092495, 0.934947
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0.196784, 0.968697
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0.392549, 0.987169
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0.580614, 0.992039
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0.755953, 0.994383
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0.945877, 0.995871
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1.195109, 0.997060
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1.425766, 0.997769
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1.982975, 0.998721
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2.641110, 0.999256

results/image_compression/kodak/PSNR_sRGB_RGB/minnen-2018-neurips.txt renamed to results/image_compression/kodak/PSNR_sRGB_RGB/minnen-2018-neurips-opt-mse.txt

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# Notes:
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# 1. Aggregate values were calculated by averaging over a constant
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# lambda value.
8+
# 2. This model was optimized for RGB MSE.
89
#
910
# If you have questions or corrections, please contact:
1011
# David Minnen (dminnen@google.com) or George Toderici (gtoderici@google.com).
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# Aggregate rate-distortion data for "Minnen 2018 (NeurIPS)" on kodak.
2+
# The first column contains bits per pixel (bpp) values.
3+
# The second column contains PSNR/sRGB/R'G'B' values.
4+
#
5+
# Notes:
6+
# 1. Aggregate values were calculated by averaging over a constant
7+
# lambda value.
8+
# 2. This model was optimized for RGB MS-SSIM.
9+
#
10+
# If you have questions or corrections, please contact:
11+
# David Minnen (dminnen@google.com) or George Toderici (gtoderici@google.com).
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0.092495, 25.376121
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0.196784, 27.127567
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0.392549, 29.273395
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0.580614, 30.408266
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0.755953, 31.429707
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0.945877, 32.262988
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1.195109, 33.434059
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1.425766, 34.352065
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1.982975, 35.366026
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2.641110, 36.833078

results/image_compression/kodak/PSNR_sRGB_Y/minnen-2018-neurips.txt renamed to results/image_compression/kodak/PSNR_sRGB_Y/minnen-2018-neurips-opt-mse.txt

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Original file line numberDiff line numberDiff line change
@@ -5,6 +5,7 @@
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# Notes:
66
# 1. Aggregate values were calculated by averaging over a constant
77
# lambda value.
8+
# 2. This model was optimized for RGB MSE.
89
#
910
# If you have questions or corrections, please contact:
1011
# David Minnen (dminnen@google.com) or George Toderici (gtoderici@google.com).
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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,22 @@
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# Aggregate rate-distortion data for "Minnen 2018 (NeurIPS)" on kodak.
2+
# The first column contains bits per pixel (bpp) values.
3+
# The second column contains PSNR/sRGB/Y' values.
4+
#
5+
# Notes:
6+
# 1. Aggregate values were calculated by averaging over a constant
7+
# lambda value.
8+
# 2. This model was optimized for RGB MS-SSIM.
9+
#
10+
# If you have questions or corrections, please contact:
11+
# David Minnen (dminnen@google.com) or George Toderici (gtoderici@google.com).
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0.092495, 25.649601
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0.196784, 27.390140
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0.392549, 29.542959
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0.580614, 30.716348
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0.755953, 31.758289
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0.945877, 32.604129
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1.195109, 33.786184
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1.425766, 34.708266
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1.982975, 35.722294
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2.641110, 37.149169
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# Aggregate rate-distortion data for "Minnen 2018 (NeurIPS)" on tecnick.
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# The first column contains bits per pixel (bpp) values.
3+
# The second column contains MS-SSIM/sRGB/R'G'B' values.
4+
#
5+
# Notes:
6+
# 1. Aggregate values were calculated by averaging over a constant
7+
# lambda value.
8+
# 2. We often graph MS-SSIM values in dB for visual clarity using:
9+
# ms_ssim_db = -10 * log10(1 - ms_ssim).
10+
# 3. This model was optimized for RGB MSE.
11+
#
12+
# If you have questions or corrections, please contact:
13+
# David Minnen (dminnen@google.com) or George Toderici (gtoderici@google.com).
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0.066339, 0.929896
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0.126793, 0.956899
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0.198055, 0.969371
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0.300435, 0.978856
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0.433107, 0.984426
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0.615165, 0.987542
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0.891458, 0.992472
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1.507765, 0.993967
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2.425908, 0.998597
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Original file line numberDiff line numberDiff line change
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1+
# Aggregate rate-distortion data for "Minnen 2018 (NeurIPS)" on tecnick.
2+
# The first column contains bits per pixel (bpp) values.
3+
# The second column contains MS-SSIM/sRGB/R'G'B' values.
4+
#
5+
# Notes:
6+
# 1. Aggregate values were calculated by averaging over a constant
7+
# lambda value.
8+
# 2. We often graph MS-SSIM values in dB for visual clarity using:
9+
# ms_ssim_db = -10 * log10(1 - ms_ssim).
10+
# 3. This model was optimized for RGB MS-SSIM.
11+
#
12+
# If you have questions or corrections, please contact:
13+
# David Minnen (dminnen@google.com) or George Toderici (gtoderici@google.com).
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0.080911, 0.951014
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0.160159, 0.974363
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0.306288, 0.986175
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0.454266, 0.990466
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0.603689, 0.991907
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0.746582, 0.993437
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0.933949, 0.996380
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1.138409, 0.997145
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1.642893, 0.998888
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2.288673, 0.999601

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