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Daniel Ulbricht

3 accepted papers

2022

GAUDI: A Neural Architect for Immersive 3D Scene Generation

NeurIPS 2022accept

We introduce GAUDI, a generative model capable of capturing the distribution of complex and realistic 3D scenes that can be rendered immersively from a moving camera. We tackle this challenging problem with a scalable yet powerful approach, where we first optimize a latent representation that disent…

2019

Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation

CVPR 2019poster

In this work, we connect two distinct concepts for unsupervised domain adaptation: feature distribution alignment between domains by utilizing the task-specific decision boundary and the Wasserstein metric. Our proposed sliced Wasserstein discrepancy (SWD) is designed to capture the natural notion o…

Cited by 743PDFScholar