Unsupervised methods for reconstructing structures face significant
chal...
Domain generalization aims to address the domain shift between training ...
Semantic segmentation in complex scenes not only relies on local object
...
We present MovingParts, a NeRF-based method for dynamic scene reconstruc...
Language-guided image editing has achieved great success recently. In th...
With recent advances in image-to-image translation tasks, remarkable pro...
Sketching is an intuitive and effective way for content creation. While
...
Multi-view depth estimation plays a critical role in reconstructing and
...
Real-world scientific or engineering applications often involve mathemat...
Generalized Zero-Shot Learning (GZSL) aims to recognize new categories w...
Mitochondria segmentation in electron microscopy images is essential in
...
We study the problem of localizing audio-visual events that are both aud...
Representing complex 3D objects as simple geometric primitives, known as...
Generalized Zero-Shot Learning (GZSL) targets recognizing new categories...
Human can infer the 3D geometry of a scene from a sketch instead of a
re...
Single-image 3D shape reconstruction is an important and long-standing
p...
In this paper, we explore the task of generating photo-realistic face im...
In this paper, we explore the task of generating photo-realistic face im...
Monocular depth estimation is an essential task for scene understanding....
Learning-based methods suffer from limited clean annotations, especially...