8 citations · 8 across the 6 of their papers we have counts for
6 papers
AIM 2024 Sparse Neural Rendering Challenge: Methods and Results
Michal Nazarczuk, Sibi Catley-Chandar, Thomas Tanay +27
This paper reviews the challenge on Sparse Neural Rendering that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2024. This manuscript…
Spatially-Attentive Patch-Hierarchical Network with Adaptive Sampling for Motion Deblurring
Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan
This paper tackles the problem of motion deblurring of dynamic scenes. Although end-to-end fully convolutional designs have recently advanced the state-of-the-art in non-uniform mo…
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 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…
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…
Mitigating Channel-wise Noise for Single Image Super Resolution
Srimanta Mandal, Kuldeep Purohit, A. N. Rajagopalan
In practice, images can contain different amounts of noise for different color channels, which is not acknowledged by existing super-resolution approaches. In this paper, we propos…