Image Warping

Image warping is a computer vision technique that transforms images by altering their geometry, aiming to correct distortions, align images for tasks like segmentation or stitching, or generate novel views. Recent research focuses on developing robust and versatile warping models, often employing deep learning architectures like transformers and convolutional neural networks, sometimes coupled with traditional methods like thin-plate splines. These advancements are improving the accuracy and efficiency of image warping across diverse applications, including medical image analysis, video processing, and novel view synthesis, leading to more realistic and accurate results in various fields.