Search Results for author:
Found 5 papers, 5 papers with code
Edge-Informed Single Image Super-Resolution
We use a two-stage inpainting model as a baseline for super-resolution and show its effectiveness for different scale factors (x2, x4, x8) compared to basic interpolation schemes.
Ranked #1 on
Image Super-Resolution
on Celeb-HQ 4x upscaling
Automatic Temporally Coherent Video Colorization
This paper proposes a method to colorize line art frames in an adversarial setting, to create temporally coherent video of large anime by improving existing image to image translation methods.
EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning
The edge generator hallucinates edges of the missing region (both regular and irregular) of the image, and the image completion network fills in the missing regions using hallucinated edges as a priori.
Ranked #10 on
Image Inpainting
on Places2
Image Colorization with Generative Adversarial Networks
Over the last decade, the process of automatic image colorization has been of significant interest for several application areas including restoration of aged or degraded images.
Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification
This paper explores the problem of breast tissue classification of microscopy images.
Breast Cancer Histology Image Classification
Classification
+3
