Search Results for author:
Found 3 papers, 3 papers with code
FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction
Our pipeline utilizes the recent advances in StyleGAN-based facial image editing approaches to generate multi-view normalized face images from single-image inputs.
Ranked #3 on
3D Face Reconstruction
on REALY
Self-Supervised Deep Blind Video Super-Resolution
As directly using LR videos as supervision usually leads to trivial solutions, we develop a simple and effective method to generate auxiliary paired data from original LR videos according to the image formation of video SR, so that the networks can be better constrained by the generated paired data for both blur kernel estimation and latent HR video restoration.
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior
The proposed algorithm mainly consists of optical flow estimation from intermediate latent frames and latent frame restoration steps.
Ranked #2 on
Deblurring
on DVD
(using extra training data)
