We are Video & Image Computing Lab at KAIST.

Our research of interest includes deep-learning-based computer vision, computational image & video processing as well as image & video understanding and 2D/3D video coding.

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Recently, our intensive works are in the fields of image/video super-resolution, frame interpolation, SDR-to-HDR inverse tone mapping, optical flow estimation, depth estimation, image deraining, image dehazing, video motion debluring, neural radiance field (NeRF) learning of images and video, image in-painting, GAN-based restoration of old photos, PAN sharpening and super-resolution of satellite images, deep-learning-based image/video compression, learning-based perceptual video coding, detection and classification of Synthetic Aperture Radar (SAR) image targets as well as super-resolution of SAR images etc. 

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