15 citations · 57 across the 26 of their papers we have counts for
10 papers · 1 filter
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…
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…
Unfolding a blurred image
Kuldeep Purohit, Anshul Shah, A. N. Rajagopalan
We present a solution for the goal of extracting a video from a single motion blurred image to sequentially reconstruct the clear views of a scene as beheld by the camera during th…
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…
Robust Unpaired Single Image Super-Resolution of Faces
Saurabh Goswami, Rajagopalan A. N
We propose an adversarial attack for facial class-specific Single Image Super-Resolution (SISR) methods. Existing attacks, such as the Fast Gradient Sign Method (FGSM) or the Proje…
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…
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…
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…