Recent deep learning-based optical flow estimators have exhibited impres...
At present, face 3D reconstruction has broad application prospects in va...
Low-Light Video Enhancement (LLVE) has received considerable attention i...
Video shakiness is an unpleasant distortion of User Generated Content (U...
General large language models (LLMs) such as ChatGPT have shown remarkab...
This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...
Digital humans have witnessed extensive applications in various domains,...
Magnetic resonance images (MRI) acquired with low through-plane resoluti...
With the rapid advancements of the text-to-image generative model,
AI-ge...
The misuse of real photographs with conflicting image captions in news i...
Recently, Users Generated Content (UGC) videos becomes ubiquitous in our...
Differences in forgery attributes of images generated in CNN-synthesized...
AI Generated Content (AIGC) has
gained widespread attention with the inc...
Automated radiology report generation aims at automatically generating a...
Audio-visual embodied navigation, as a hot research topic, aims training...
Traditional biological and pharmaceutical manufacturing plants are contr...
Audio-visual navigation task requires an agent to find a sound source in...
We develop a new physical model for the rain effect and show that the
we...
We propose an enhanced multi-scale network, dubbed GridDehazeNet+, for s...
To defend against manipulation of image content, such as splicing, copy-...
Recent years have seen considerable research activities devoted to video...
This paper reviews the second AIM learned ISP challenge and provides the...
This paper reviews the AIM 2020 challenge on efficient single image
supe...
To the best of our knowledge, the existing deep-learning-based Video
Sup...
Video interpolation aims at increasing the frame rate of a given video b...
As the revolutionary improvement being made on the performance of smartp...
This paper reviews the Challenge on Image Demoireing that was part of th...
Video super-resolution aims at generating a high-resolution video from i...
We propose an end-to-end trainable Convolutional Neural Network (CNN), n...