Search Results for author: Thomas Leimkühler

Found 8 papers, 3 papers with code

Diffusion Posterior Illumination for Ambiguity-aware Inverse Rendering

1 code implementation30 Sep 2023 Linjie Lyu, Ayush Tewari, Marc Habermann, Shunsuke Saito, Michael Zollhöfer, Thomas Leimkühler, Christian Theobalt

We further conduct an extensive comparative study of different priors on illumination used in previous work on inverse rendering.

Denoising Inverse Rendering

ROAM: Robust and Object-Aware Motion Generation Using Neural Pose Descriptors

no code implementations24 Aug 2023 Wanyue Zhang, Rishabh Dabral, Thomas Leimkühler, Vladislav Golyanik, Marc Habermann, Christian Theobalt

Given an unseen object and a reference pose-object pair, we optimise for the object-aware pose that is closest in the feature space to the reference pose.

Motion Synthesis Object

3D Gaussian Splatting for Real-Time Radiance Field Rendering

1 code implementation8 Aug 2023 Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, George Drettakis

Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos.

Camera Calibration Novel View Synthesis

Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold

5 code implementations18 May 2023 Xingang Pan, Ayush Tewari, Thomas Leimkühler, Lingjie Liu, Abhimitra Meka, Christian Theobalt

Synthesizing visual content that meets users' needs often requires flexible and precise controllability of the pose, shape, expression, and layout of the generated objects.

Image Manipulation Point Tracking +1

Neural Field Convolutions by Repeated Differentiation

no code implementations4 Apr 2023 Ntumba Elie Nsampi, Adarsh Djeacoumar, Hans-Peter Seidel, Tobias Ritschel, Thomas Leimkühler

Neural fields are evolving towards a general-purpose continuous representation for visual computing.

Neural Point Catacaustics for Novel-View Synthesis of Reflections

no code implementations3 Jan 2023 Georgios Kopanas, Thomas Leimkühler, Gilles Rainer, Clément Jambon, George Drettakis

View-dependent effects such as reflections pose a substantial challenge for image-based and neural rendering algorithms.

Neural Rendering Novel View Synthesis

FreeStyleGAN: Free-view Editable Portrait Rendering with the Camera Manifold

no code implementations20 Sep 2021 Thomas Leimkühler, George Drettakis

In our solution, we use a few images of a face to perform 3D reconstruction, and we introduce the notion of the GAN camera manifold, the key element allowing us to precisely define the range of images that the GAN can reproduce in a stable manner.

3D Reconstruction Mixed Reality +1

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