Recent studies of two-view correspondence learning usually establish an
...
Recent advancements in Text-to-Image (T2I) generative models have yielde...
Optical flow estimation is a challenging problem remaining unsolved. Rec...
GigaMVS presents several challenges to existing Multi-View Stereo (MVS)
...
Learning robust local image feature matching is a fundamental low-level
...
The image inpainting task fills missing areas of a corrupted image. Desp...
Feature representation learning is the key recipe for learning-based
Mul...
Many recent inpainting works have achieved impressive results by leverag...
Image inpainting is the task of filling masked or unknown regions of an ...
We study the problem of shape generation in 3D mesh representation from ...
Image inpainting has made significant advances in recent years. However,...
This paper studies the task of inpainting man-made scenes. It is very
ch...
We introduce CLUE, a Chinese Language Understanding Evaluation benchmark...
Affective computing and cognitive theory are widely used in modern
human...
The recent research of facial expression recognition has made a lot of
p...
The continuous dimensional emotion modelled by arousal and valence can d...