Karsten Kreis

According to our database1, Karsten Kreis authored at least 36 papers between 2019 and 2024.

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Bibliography

2024
Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization.
CoRR, 2024

L4GM: Large 4D Gaussian Reconstruction Model.
CoRR, 2024

DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Align Your Steps: Optimizing Sampling Schedules in Diffusion Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Differentially Private Diffusion Models.
Trans. Mach. Learn. Res., 2023

A Unified Approach for Text- and Image-guided 4D Scene Generation.
CoRR, 2023

Score-based Diffusion Models in Function Space.
CoRR, 2023

SIGGRAPH 2023 Course on Diffusion Models.
Proceedings of the ACM SIGGRAPH 2023 Courses, 2023

DreamTeacher: Pretraining Image Backbones with Deep Generative Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Magic3D: High-Resolution Text-to-3D Content Creation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

2022
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.
CoRR, 2022

Causal Scene BERT: Improving object detection by searching for challenging groups of data.
CoRR, 2022

BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations.
CoRR, 2022

LION: Latent Point Diffusion Models for 3D Shape Generation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GENIE: Higher-Order Denoising Diffusion Solvers.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Score-Based Generative Modeling with Critically-Damped Langevin Diffusion.
Proceedings of the Tenth International Conference on Learning Representations, 2022

BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Score-based Generative Modeling in Latent Space.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ATISS: Autoregressive Transformers for Indoor Scene Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

EditGAN: High-Precision Semantic Image Editing.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models.
Proceedings of the 9th International Conference on Learning Representations, 2021

Causal BERT: Improving object detection by searching for challenging groups.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Neural Geometric Level of Detail: Real-Time Rendering With Implicit 3D Shapes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Semantic Segmentation With Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Variational Amodal Object Completion.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
ESPResSo++ 2.0: Advanced methods for multiscale molecular simulation.
Comput. Phys. Commun., 2019


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