research
∙
05/10/2023
HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion
Representing human performance at high-fidelity is an essential building...
share
research
∙
12/06/2022
Learning Neural Parametric Head Models
We propose a novel 3D morphable model for complete human heads based on ...
research
∙
12/24/2021
Cluster-guided Image Synthesis with Unconditional Models
Generative Adversarial Networks (GANs) are the driving force behind the ...
research
∙
11/23/2021
Tensor Component Analysis for Interpreting the Latent Space of GANs
This paper addresses the problem of finding interpretable directions in ...
research
∙
04/16/2021
Polynomial Networks in Deep Classifiers
Deep neural networks have been the driving force behind the success in c...
research
∙
09/09/2020
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations
Deep generative models rely on their inductive bias to facilitate genera...
research
∙
06/06/2020
Enhancing Facial Data Diversity with Style-based Face Aging
A significant limiting factor in training fair classifiers relates to th...
research
∙
05/15/2020
Investigating Bias in Deep Face Analysis: The KANFace Dataset and Empirical Study
Deep learning-based methods have pushed the limits of the state-of-the-a...
research
∙
02/13/2018