In photo editing, it is common practice to remove visual distractions to...
Wires and powerlines are common visual distractions that often undermine...
What is an image and how to extract latent features? Convolutional Netwo...
Structure-guided image completion aims to inpaint a local region of an i...
Deep image inpainting has made impressive progress with recent advances ...
Image inpainting is an essential task for multiple practical application...
Image rasterization is a mature technique in computer graphics, while im...
Reference-guided image inpainting restores image pixels by leveraging th...
Image inpainting is the task of plausibly restoring missing pixels withi...
Retinal vessel segmentation from retinal images is an essential task for...
Image matting is a key technique for image and video editing and composi...
This paper is the report of the first Under-Display Camera (UDC) image
r...
Deep convolution-based single image super-resolution (SISR) networks emb...
This paper reviews the NTIRE 2020 challenge on real image denoising with...
Self-similarity refers to the image prior widely used in image restorati...
The new trend of full-screen devices encourages us to position a camera
...
Spatial-temporal feature learning is of vital importance for video emoti...
Talking face synthesis has been widely studied in either appearance-base...
In this paper, we present new data pre-processing and augmentation techn...
Discriminative learning based image denoisers have achieved promising
pe...
Surface-based geodesic topology provides strong cues for object semantic...
Affective computing models are essential for human behavior analysis. A
...
Face detection is a well-explored problem. Many challenges on face detec...
A good representation for arbitrarily complicated data should have the
c...
Despite the remarkable recent progress, person Re-identification (Re-ID)...