1 code implementation • 28 Nov 2023 • Urs Waldmann, Ole Johannsen, Bastian Goldluecke
Realistic looking novel view and pose synthesis for different synthetic cow textures further demonstrate the quality of our method.
2 code implementations • 29 Aug 2023 • Urs Waldmann, Alex Hoi Hang Chan, Hemal Naik, Máté Nagy, Iain D. Couzin, Oliver Deussen, Bastian Goldluecke, Fumihiro Kano
To the best of our knowledge we are the first to present a framework for 2D/3D animal posture and trajectory tracking that works in both indoor and outdoor environments for up to 10 individuals.
1 code implementation • 31 May 2023 • Antonin Sulc, Imari Sato, Bastian Goldluecke, Tali treibitz
In contrast, we claim that a simple energy function based on Snell's law enables the reconstruction of an arbitrary refractive surface geometry using just a single image and known background texture and geometry.
no code implementations • 9 Dec 2022 • Mohammed Brahimi, Bjoern Haefner, Tarun Yenamandra, Bastian Goldluecke, Daniel Cremers
We propose an end-to-end inverse rendering pipeline called SupeRVol that allows us to recover 3D shape and material parameters from a set of color images in a super-resolution manner.
1 code implementation • CVPR 2022 • Felix Petersen, Bastian Goldluecke, Christian Borgelt, Oliver Deussen
In this work, we present and study a generalized family of differentiable renderers.
no code implementations • 20 Oct 2021 • Felix Petersen, Bastian Goldluecke, Oliver Deussen, Hilde Kuehne
Recently introduced differentiable renderers can be leveraged to learn the 3D geometry of objects from 2D images, but those approaches require additional supervision to enable the renderer to produce an output that can be compared to the input image.
no code implementations • ECCV 2018 • Daniel Maurer, Nico Marniok, Bastian Goldluecke, Andres Bruhn
To this end, we propose a novel structure-from-motion-aware PatchMatch approach that, in contrast to existing matching techniques, combines two hierarchical feature matching methods: a recent two-frame PatchMatch approach for optical flow estimation (general motion) and a specifically tailored three-frame PatchMatch approach for rigid scene reconstruction (SfM).
no code implementations • CVPR 2018 • Anna Alperovich, Ole Johannsen, Michael Strecke, Bastian Goldluecke
We present a fully convolutional autoencoder for light fields, which jointly encodes stacks of horizontal and vertical epipolar plane images through a deep network of residual layers.
no code implementations • CVPR 2017 • Michael Strecke, Anna Alperovich, Bastian Goldluecke
We introduce a novel approach to jointly estimate consistent depth and normal maps from 4D light fields, with two main contributions.
no code implementations • CVPR 2016 • Ole Johannsen, Antonin Sulc, Bastian Goldluecke
In this paper, we propose a novel method for depth estimation in light fields which employs a specifically designed sparse decomposition to leverage the depth-orientation relationship on its epipolar plane images.
no code implementations • ICCV 2015 • Ole Johannsen, Antonin Sulc, Bastian Goldluecke
We present a novel approach to relative pose estimation which is tailored to 4D light field cameras.
no code implementations • CVPR 2014 • Sergi Pujades, Frederic Devernay, Bastian Goldluecke
In this paper, we address the problem of synthesizing novel views from a set of input images.
no code implementations • CVPR 2013 • Sven Wanner, Christoph Straehle, Bastian Goldluecke
We present the first variational framework for multi-label segmentation on the ray space of 4D light fields.
no code implementations • CVPR 2013 • Bastian Goldluecke, Sven Wanner
Unlike traditional images which do not offer information for different directions of incident light, a light field is defined on ray space, and implicitly encodes scene geometry data in a rich structure which becomes visible on its epipolar plane images.