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20192026
most citedSpatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring

15 citations · 38 across the 18 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CV2022

Exploring the Effectiveness of Mask-Guided Feature Modulation as a Mechanism for Localized Style Editing of Real Images

Snehal Singh Tomar, Maitreya Suin, A. N. Rajagopalan

The success of Deep Generative Models at high-resolution image generation has led to their extensive utilization for style editing of real images. Most existing methods work on the…

cs.CV2022

Hybrid Transformer Based Feature Fusion for Self-Supervised Monocular Depth Estimation

Snehal Singh Tomar, Maitreya Suin, A. N. Rajagopalan

With an unprecedented increase in the number of agents and systems that aim to navigate the real world using visual cues and the rising impetus for 3D Vision Models, the importance…

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…

cs.CV2022

Adaptive Image Inpainting

Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan

Image inpainting methods have shown significant improvements by using deep neural networks recently. However, many of these techniques often create distorted structures or blurry t…

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…