Search Results for author: Maitreya Suin

Found 13 papers, 3 papers with code

Adaptive Image Inpainting

no code implementations1 Jan 2022 Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan

We deploy cross and self distillation techniques and discuss the need for a dedicated completion-block in encoder to achieve the distillation target.

Image Inpainting

Spatially-Adaptive Image Restoration using Distortion-Guided Networks

no code implementations ICCV 2021 Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan, Vishnu Naresh Boddeti

However, we hypothesize that such spatially rigid processing is suboptimal for simultaneously restoring the degraded pixels as well as reconstructing the clean regions of the image.

Image Restoration

Gated Spatio-Temporal Attention-Guided Video Deblurring

no code implementations CVPR 2021 Maitreya Suin, A. N. Rajagopalan

Video deblurring remains a challenging task due to the complexity of spatially and temporally varying blur.

Deblurring

Distillation-Guided Image Inpainting

no code implementations ICCV 2021 Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan

Image inpainting methods have shown significant improvements by using deep neural networks recently.

Image Inpainting

Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring

no code implementations CVPR 2020 Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan

Existing approaches achieve a large receptive field by increasing the number of generic convolution layers and kernel-size, but this comes at the expense of of the increase in model size and inference speed.

Ranked #14 on Image Deblurring on GoPro (using extra training data)

Deblurring Image Deblurring

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