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20182024
most citedSpatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring

15 citations · 44 across the 22 of their papers we have counts for

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9 papers · 1 filter

eess.IV2022

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…

eess.IV2022

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…

eess.IV2022

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…

eess.IV2022

Dynamic Scene Video Deblurring using Non-Local Attention

Maitreya Suin, A. N. Rajagopalan

This paper tackles the challenging problem of video deblurring. Most of the existing works depend on implicit or explicit alignment for temporal information fusion which either inc…

eess.IV2022

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…

eess.IV2020★ 6 cited

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…