Modern Neural Radiance Fields (NeRFs) learn a mapping from position to
v...
Training a sparse neural network from scratch requires optimizing connec...
Convolutional neural network inference on video input is computationally...
Novel view synthesis has recently been revolutionized by learning neural...
Convolutional neural network inference on video data requires powerful
h...
The humble loop shrinking property played a central role in the inceptio...
The recent research explosion around implicit neural representations, su...
In recent years, mesh subdivision---the process of forging smooth free-f...
Mesh subdivision is a key geometric modeling task which forges smooth,
s...
Compute-mode rendering is becoming more and more attractive for non-stan...
Mimicking natural tessellation patterns is a fascinating multi-disciplin...