15 citations · 50 across the 19 of their papers we have counts for
7 papers · 1 filter
Image Superresolution using Scale-Recurrent Dense Network
Kuldeep Purohit, Srimanta Mandal, A. N. Rajagopalan
Recent advances in the design of convolutional neural network (CNN) have yielded significant improvements in the performance of image super-resolution (SR). The boost in performanc…
Deep Networks for Image and Video Super-Resolution
Kuldeep Purohit, Srimanta Mandal, A. N. Rajagopalan
Efficiency of gradient propagation in intermediate layers of convolutional neural networks is of key importance for super-resolution task. To this end, we propose a deep architectu…
Image Restoration using Feature-guidance
Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan
Image restoration is the task of recovering a clean image from a degraded version. In most cases, the degradation is spatially varying, and it requires the restoration network to b…
Adaptive Single Image Deblurring
Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan
This paper tackles the problem of dynamic scene deblurring. Although end-to-end fully convolutional designs have recently advanced the state-of-the-art in non-uniform motion deblur…
AIM 2020 Challenge on Rendering Realistic Bokeh
Andrey Ignatov, Radu Timofte, Ming Qian +32
This paper reviews the second AIM realistic bokeh effect rendering challenge and provides the description of the proposed solutions and results. The participating teams were solvin…
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
Kai Zhang, Martin Danelljan, Yawei Li +75
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an in…
AIM 2019 Challenge on Image Demoireing: Methods and Results
Shanxin Yuan, Radu Timofte, Gregory Slabaugh +25
This paper reviews the first-ever image demoireing challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ICCV 2019. This paper desc…