The radiance fields style transfer is an emerging field that has recentl...
While deep learning techniques have become extremely popular for solving...
Neural view synthesis (NVS) is one of the most successful techniques for...
Implicit surface representations such as the signed distance function (S...
Neural fields have rapidly been adopted for representing 3D signals, but...
Recently introduced Contrastive Language-Image Pre-Training (CLIP) bridg...
Photo retouching is a difficult task for novice users as it requires exp...
Plants are dynamic organisms. Understanding temporal variations in veget...
Given a monocular video, segmenting and decoupling dynamic objects while...
We propose a learning-based method for light-path construction in path
t...
Neural implicit functions have emerged as a powerful representation for
...
Structured pruning is a well-known technique to reduce the storage size ...
We propose Differentiable Surface Splatting (DSS), a high-fidelity
diffe...
The problem of explaining the behavior of deep neural networks has gaine...
The convergence speed of stochastic gradient descent (SGD) can be improv...
Understanding the flow of information in Deep Neural Networks is a
chall...