Katja Schwarz

According to our database1, Katja Schwarz authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Volumetric Surfaces: Representing Fuzzy Geometries with Multiple Meshes.
CoRR, 2024

WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

MultiDiff: Consistent Novel View Synthesis from a Single Image.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets.
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.
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.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
On the Frequency Bias of Generative Models.
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.
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.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Multi-Scale Convolutions for Learning Context Aware Feature Representations.
CoRR, 2019

Weakly Supervised Learning of Dense Semantic Correspondences and Segmentation.
Proceedings of the Pattern Recognition, 2019


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