Search Results for author: Michael Fischer

Found 6 papers, 2 papers with code

NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs

no code implementations13 Feb 2024 Michael Fischer, Zhengqin Li, Thu Nguyen-Phuoc, Aljaz Bozic, Zhao Dong, Carl Marshall, Tobias Ritschel

A Neural Radiance Field (NeRF) encodes the specific relation of 3D geometry and appearance of a scene.

Attribute

Neural Bounding

no code implementations10 Oct 2023 Wenxin Liu, Michael Fischer, Paul D. Yoo, Tobias Ritschel

Bounding volumes are an established concept in computer graphics and vision tasks but have seen little change since their early inception.

Zero Grads Ever Given: Learning Local Surrogate Losses for Non-Differentiable Graphics

no code implementations10 Aug 2023 Michael Fischer, Tobias Ritschel

To circumvent this issue, the loss function can be manually replaced by a "surrogate" that has similar minima but is differentiable.

Plateau-reduced Differentiable Path Tracing

no code implementations CVPR 2023 Michael Fischer, Tobias Ritschel

Current differentiable renderers provide light transport gradients with respect to arbitrary scene parameters.

Inverse Rendering

Learning to Learn and Sample BRDFs

1 code implementation7 Oct 2022 Chen Liu, Michael Fischer, Tobias Ritschel

We propose a method to accelerate the joint process of physically acquiring and learning neural Bi-directional Reflectance Distribution Function (BRDF) models.

Meta-Learning

NICER: Aesthetic Image Enhancement with Humans in the Loop

1 code implementation3 Dec 2020 Michael Fischer, Konstantin Kobs, Andreas Hotho

However, fully-automatic approaches usually enhance the image in a black-box manner that does not give the user any control over the optimization process, possibly leading to edited images that do not subjectively appeal to the user.

Image Enhancement

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