Timofte R., De Smet V., Van Gool L., ''A+: Adjusted anchored neighborhood regression for fast super-resolution'', Lecture notes in computer science, vol. 9006, part IV, pp. 111-126, 2015 (12th Asian conference on computer vision - ACCV 2014, November 1-5, 2014, Singapore).status: publishe
© 2016 IEEE. A+ aka Adjusted Anchored Neighborhood Regression - is a state-of-the-art method for exe...
In this paper, we employ unified mutual coherence between the dictionary atoms and atoms/samples whe...
In this paper we present seven techniques that everybody should know to improve example-based single...
© Springer International Publishing Switzerland 2015. We address the problem of image upscaling in t...
Abstract. We address the problem of image upscaling in the form of single image super-resolution bas...
Timofte R., De Smet V., Van Gool L., ''Anchored neighborhood regression for fast example-based super...
Recently there have been significant advances in image upscaling or image super-resolution based on ...
Recently there have been significant advances in image up scaling or image super-resolution based on...
Agustsson E., Timofte R., Van Gool L., ''Regressor basis learning for anchored super-resolution'', 2...
This doctoral thesis deals with the enhancement of digital images by increasing their resolution, a ...
Timofte R., Rothe R., Van Gool L., ''Seven ways to improve example-based single image super resoluti...
De Smet V., ''Learned regressors and semantic priors for efficient patch-based super-resolution'', P...
Dictionary-based super-resolution (SR) algorithms usually select dictionary atoms based on the dista...
Super Resolution (SR) is a complex, ill-posed problem where the aim is to construct the mapping betw...
International audienceThis paper describes a single-image super-resolution (SR) algorithm based on n...
© 2016 IEEE. A+ aka Adjusted Anchored Neighborhood Regression - is a state-of-the-art method for exe...
In this paper, we employ unified mutual coherence between the dictionary atoms and atoms/samples whe...
In this paper we present seven techniques that everybody should know to improve example-based single...
© Springer International Publishing Switzerland 2015. We address the problem of image upscaling in t...
Abstract. We address the problem of image upscaling in the form of single image super-resolution bas...
Timofte R., De Smet V., Van Gool L., ''Anchored neighborhood regression for fast example-based super...
Recently there have been significant advances in image upscaling or image super-resolution based on ...
Recently there have been significant advances in image up scaling or image super-resolution based on...
Agustsson E., Timofte R., Van Gool L., ''Regressor basis learning for anchored super-resolution'', 2...
This doctoral thesis deals with the enhancement of digital images by increasing their resolution, a ...
Timofte R., Rothe R., Van Gool L., ''Seven ways to improve example-based single image super resoluti...
De Smet V., ''Learned regressors and semantic priors for efficient patch-based super-resolution'', P...
Dictionary-based super-resolution (SR) algorithms usually select dictionary atoms based on the dista...
Super Resolution (SR) is a complex, ill-posed problem where the aim is to construct the mapping betw...
International audienceThis paper describes a single-image super-resolution (SR) algorithm based on n...
© 2016 IEEE. A+ aka Adjusted Anchored Neighborhood Regression - is a state-of-the-art method for exe...
In this paper, we employ unified mutual coherence between the dictionary atoms and atoms/samples whe...
In this paper we present seven techniques that everybody should know to improve example-based single...