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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Our recent intensive works focus on Computer Vision research

[1] in the fields of natural image and video retoration: (1) super-resolution, (2) frame interpolation, (3) SDR-to-HDR inverse tone mapping, (4) image in-painting, (5) depth estimation, (6) image deraining, (7) image dehazing, (8) video motion debluring; (9) generative restoration of old photos,

[2] in the fields of 3D image/video reconstruction: (1) optical flow estimation, (2) camera pose estimation, (3) dynamic neural radiance field (NeRF) and Gaussian splatting learning of video for novel view synthesis;

[3] in the fields of satellite images: (1) PAN sharpening, super-resolution and cloud removal of Electro-Optical (EO) images, (2) super-resolution, detection and classification of Synthetic Aperture Radar (SAR) image targets, (3) SAR-to-EO image-to-image translation learning, etc. 

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