Although neural radiance fields (NeRF) have shown impressive advances fo...
Most image super-resolution (SR) methods are developed on synthetic
low-...
In this work, we aim to address the 3D scene stylization problem - gener...
We present a novel algorithm for transferring artistic styles of semanti...
We present a learning-based approach for removing unwanted obstructions,...
Recovering a high dynamic range (HDR) image from a single low dynamic ra...
Single image super resolution aims to enhance image quality with respect...
In this work, we introduce VQA 360, a novel task of visual question answ...
Despite the long history of image and video stitching research, existing...
Video frame interpolation aims to synthesize nonexistent frames in-betwe...
Motion estimation (ME) and motion compensation (MC) have been widely use...
Applying image processing algorithms independently to each frame of a vi...
Single-image super-resolution is a fundamental task for vision applicati...
We present an effective blind image deblurring method based on a data-dr...
In this paper, we present an effective and efficient face deblurring
alg...
Convolutional neural networks have recently demonstrated high-quality
re...
We present a system for converting a fully panoramic (360^∘) video into
...
In this paper, we propose a fully convolutional networks for iterative
n...