2 citations · 3 across the 4 of their papers we have counts for
4 papers
Quantised Global Autoencoder: A Holistic Approach to Representing Visual Data
Tim Elsner, Paula Usinger, Victor Czech +4
In quantised autoencoders, images are usually split into local patches, each encoded by one token. This representation is redundant in the sense that the same number of tokens is s…
4Dynamic: Text-to-4D Generation with Hybrid Priors
Yu-Jie Yuan, Leif Kobbelt, Jiwen Liu +4
Due to the fascinating generative performance of text-to-image diffusion models, growing text-to-3D generation works explore distilling the 2D generative priors into 3D, using the…
Neural Implicit Shape Editing using Boundary Sensitivity
Arturs Berzins, Moritz Ibing, Leif Kobbelt
Neural fields are receiving increased attention as a geometric representation due to their ability to compactly store detailed and smooth shapes and easily undergo topological chan…
Adaptive Voronoi NeRFs
Tim Elsner, Victor Czech, Julia Berger +3
Neural Radiance Fields (NeRFs) learn to represent a 3D scene from just a set of registered images. Increasing sizes of a scene demands more complex functions, typically represented…