In this paper, we study Text-to-3D content generation leveraging 2D diff...
Despite recent advances in syncing lip movements with any audio waves,
c...
Creating the photo-realistic version of people sketched portraits is use...
Previous studies have explored generating accurately lip-synced talking ...
While dynamic Neural Radiance Fields (NeRF) have shown success in
high-f...
Table structure recognition is a crucial part of document image analysis...
This paper proposes a novel Unified Feature Optimization (UFO) paradigm ...
Visual appearance is considered to be the most important cue to understa...
Advanced face swapping methods have achieved appealing results. However,...
Structured text understanding on Visually Rich Documents (VRDs) is a cru...
Learning discriminative representation using large-scale face datasets i...
The reading of arbitrarily-shaped text has received increasing research
...
Face attribute editing aims to generate faces with one or multiple desir...
This paper introduces the real image Super-Resolution (SR) challenge tha...
With advancement in deep neural network (DNN), recent state-of-the-art (...
Fast appearance variations and the distractions of similar objects are t...
This paper reviews the NTIRE 2020 challenge on real image denoising with...
Many existing face anti-spoofing (FAS) methods focus on modeling the dec...
Scene text image contains two levels of contents: visual texture and sem...
Current face detectors utilize anchors to frame a multi-task learning pr...
Recent works have made great progress in semantic segmentation by exploi...
Extracting entity from images is a crucial part of many OCR applications...
Most existing text reading benchmarks make it difficult to evaluate the
...
Robust text reading from street view images provides valuable informatio...
This paper reports the ICDAR2019 Robust Reading Challenge on Arbitrary-S...
Detecting scene text of arbitrary shapes has been a challenging task ove...
In this paper, we are interested in editing text in natural images, whic...
Despite that the performance of image-to-image translation has been
sign...
With the rapid development of deep convolutional neural network, face
de...
Face detection has been well studied for many years and one of the remai...
Face Recognition has been studied for many decades. As opposed to tradit...