Diffusion models are getting popular in generative image and video synth...
Activation functions are essential components of neural networks. In thi...
Activation functions play an essential role in neural networks. They pro...
Large language models have made significant progress in the past few yea...
Training and deploying the large language models requires a large mount ...
Image smoothing is a fundamental task in signal processing. For such tas...
This paper presents a quarter Laplacian filter that can preserve corners...
Weighted Gaussian Curvature is an important measurement for images. Howe...
This paper proposes to solve the Total Variation regularized models by
f...
Bones are always wrapped by soft tissues. As a result, bones in their X-...
Minimizing Gaussian curvature of meshes is fundamentally important for
o...
Image denoising is the process of removing noise from noisy images, whic...
Local windows are routinely used in computer vision and almost without
e...
This paper presents a simple yet effective method for feature-preserving...
In image processing tasks, spatial priors are essential for robust
compu...
One of the methods for stratifying different molecular classes of breast...
Ill-posed inverse problems are commonplace in biomedical image processin...