Thomas Leimkühler

Orcid: 0009-0006-7784-7957

According to our database1, Thomas Leimkühler authored at least 30 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Cinematic Gaussians: Real-Time HDR Radiance Fields with Depth of Field.
Comput. Graph. Forum, October, 2024

Learning Images Across Scales Using Adversarial Training.
ACM Trans. Graph., July, 2024

Neural Gaussian Scale-Space Fields.
ACM Trans. Graph., July, 2024

Physically-Based Lighting for 3D Generative Models of Cars.
Comput. Graph. Forum, May, 2024

Exposure Diffusion: HDR Image Generation by Consistent LDR denoising.
CoRR, 2024

Who did it? How User Agency is influenced by Visual Properties of Generated Images.
Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024

Manifold Sampling for Differentiable Uncertainty in Radiance Fields.
Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

ROAM: Robust and Object-Aware Motion Generation Using Neural Pose Descriptors.
Proceedings of the International Conference on 3D Vision, 2024

2023
An Implicit Neural Representation for the Image Stack: Depth, All in Focus, and High Dynamic Range.
ACM Trans. Graph., December, 2023

Neural Field Convolutions by Repeated Differentiation.
ACM Trans. Graph., December, 2023

Diffusion Posterior Illumination for Ambiguity-Aware Inverse Rendering.
ACM Trans. Graph., December, 2023

3D Gaussian Splatting for Real-Time Radiance Field Rendering.
ACM Trans. Graph., August, 2023

NeRFshop: Interactive Editing of Neural Radiance Fields.
Proc. ACM Comput. Graph. Interact. Tech., 2023

Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold.
Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

GlowGAN: Unsupervised Learning of HDR Images from LDR Images in the Wild.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Neural Point Catacaustics for Novel-View Synthesis of Reflections.
ACM Trans. Graph., 2022

Neural Radiance Transfer Fields for Relightable Novel-View Synthesis with Global Illumination.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
FreeStyleGAN: free-view editable portrait rendering with the camera manifold.
ACM Trans. Graph., 2021

Hybrid Image-based Rendering for Free-view Synthesis.
Proc. ACM Comput. Graph. Interact. Tech., 2021

Point-Based Neural Rendering with Per-View Optimization.
Comput. Graph. Forum, 2021

2020
Glossy probe reprojection for interactive global illumination.
ACM Trans. Graph., 2020

2019
Artificial Intelligence for Efficient Image-based View Synthesis.
PhD thesis, 2019

Deep point correlation design.
ACM Trans. Graph., 2019

DeepFovea: neural reconstruction for foveated rendering and video compression using learned statistics of natural videos.
ACM Trans. Graph., 2019

Deepfovea: neural reconstruction for foveated rendering and video compression using learned natural video statistics.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2019

2018
Perceptual Real-Time 2D-to-3D Conversion Using Cue Fusion.
IEEE Trans. Vis. Comput. Graph., 2018

Laplacian kernel splatting for efficient depth-of-field and motion blur synthesis or reconstruction.
ACM Trans. Graph., 2018

End-to-end Sampling Patterns.
CoRR, 2018

2017
Minimal Warping: Planning Incremental Novel-view Synthesis.
Comput. Graph. Forum, 2017

2015
What makes 2D-to-3D stereo conversion perceptually plausible?
Proceedings of the ACM SIGGRAPH Symposium on Applied Perception, 2015


  Loading...