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Models/MSSRNet

MSSRNet

Reported on 8 benchmarks across 4 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision4 results

Image Super-ResolutiononSet14 - 4x upscaling
PSNR· 2017-07-22
27.83
best: 29.54 (DRCT-L)
Single Image Super-Resolution with Dilated Convolution based Multi-Scale Information Learning Inception Module arXiv:1707.07128
Image Super-ResolutiononSet14 - 4x upscaling
SSIM· 2017-07-22
0.7631
best: 0.894 (Edge-informed SR)
Single Image Super-Resolution with Dilated Convolution based Multi-Scale Information Learning Inception Module arXiv:1707.07128
3D Object Super-ResolutiononSet14 - 4x upscaling
PSNR· 2017-07-22
27.83
best: 29.54 (DRCT-L)
Single Image Super-Resolution with Dilated Convolution based Multi-Scale Information Learning Inception Module arXiv:1707.07128
3D Object Super-ResolutiononSet14 - 4x upscaling
SSIM· 2017-07-22
0.7631
best: 0.894 (Edge-informed SR)
Single Image Super-Resolution with Dilated Convolution based Multi-Scale Information Learning Inception Module arXiv:1707.07128

Graphs2 results

Super-ResolutiononSet14 - 4x upscaling
PSNR· 2017-07-22
27.83
best: 29.54 (DRCT-L)
Single Image Super-Resolution with Dilated Convolution based Multi-Scale Information Learning Inception Module arXiv:1707.07128
Super-ResolutiononSet14 - 4x upscaling
SSIM· 2017-07-22
0.7631
best: 0.894 (Edge-informed SR)
Single Image Super-Resolution with Dilated Convolution based Multi-Scale Information Learning Inception Module arXiv:1707.07128

Methodology2 results

16konSet14 - 4x upscaling
PSNR· 2017-07-22
27.83
best: 29.54 (DRCT-L)
Single Image Super-Resolution with Dilated Convolution based Multi-Scale Information Learning Inception Module arXiv:1707.07128
16konSet14 - 4x upscaling
SSIM· 2017-07-22
0.7631
best: 0.894 (Edge-informed SR)
Single Image Super-Resolution with Dilated Convolution based Multi-Scale Information Learning Inception Module arXiv:1707.07128