Katja Schwarz

According to our database, Katja Schwarz authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space.

Katja Schwarz, Seung Wook Kim, Jun Gao, Sanja Fidler, Andreas Geiger, Karsten Kreis

CoRR, 2023

NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models.

Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets.

Axel Sauer, Katja Schwarz, Andreas Geiger

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids.

Katja Schwarz, Axel Sauer, Michael Niemeyer, Yiyi Liao, Andreas Geiger

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ARAH: Animatable Volume Rendering of Articulated Human SDFs.

Shaofei Wang, Katja Schwarz, Andreas Geiger, Siyu Tang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

On the Frequency Bias of Generative Models.

Katja Schwarz, Yiyi Liao, Andreas Geiger

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis.

Katja Schwarz, Yiyi Liao, Michael Niemeyer, Andreas Geiger

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis.

Yiyi Liao, Katja Schwarz, Lars M. Mescheder, Andreas Geiger

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Multi-Scale Convolutions for Learning Context Aware Feature Representations.

Nikolai Ufer, Kam To Lui, Katja Schwarz, Paul Warkentin, Björn Ommer

CoRR, 2019

Weakly Supervised Learning of Dense Semantic Correspondences and Segmentation.

Nikolai Ufer, Kam To Lui, Katja Schwarz, Paul Warkentin, Björn Ommer

Proceedings of the Pattern Recognition, 2019