In 3D shape reconstruction based on template mesh deformation, a
regular...
Photometric stereo leverages variations in illumination conditions to
re...
We propose LaplacianFusion, a novel approach that reconstructs detailed ...
While motion compensation greatly improves video deblurring quality,
sep...
We propose the first reference-based video super-resolution (RefVSR) app...
Most of traditional single image deblurring methods before deep learning...
Training learning-based deblurring methods demands a significant amount ...
We propose a novel end-to-end learning-based approach for single image
d...
For the success of video deblurring, it is essential to utilize informat...
This paper proposes a novel deep learning approach for single image defo...
This paper presents an effective method for generating a spatiotemporal
...
We propose deep virtual markers, a framework for estimating dense and
ac...
With the growing demand for technology scaling and storage capacity in s...
Despite the recent upsurge of activity in image-based non-photorealistic...
One popular approach for blind deconvolution is to formulate a maximum a...