7 citations · 22 across the 7 of their papers we have counts for
19 papers
NeuralMeshing: Differentiable Meshing of Implicit Neural Representations
Mathias Vetsch, Sandro Lombardi, Marc Pollefeys +1
The generation of triangle meshes from point clouds, i.e. meshing, is a core task in computer graphics and computer vision. Traditional techniques directly construct a surface mesh…
Photographic Visualization of Weather Forecasts with Generative Adversarial Networks
Christian Sigg, Flavia Cavallaro, Tobias Günther +1
Outdoor webcam images are an information-dense yet accessible visualization of past and present weather conditions, and are consulted by meteorologists and the general public alike…
Non-local Recurrent Regularization Networks for Multi-view Stereo
Qingshan Xu, Martin R. Oswald, Wenbing Tao +2
In deep multi-view stereo networks, cost regularization is crucial to achieve accurate depth estimation. Since 3D cost volume filtering is usually memory-consuming, recurrent 2D co…
Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects
Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari +1
We address the novel task of jointly reconstructing the 3D shape, texture, and motion of an object from a single motion-blurred image. While previous approaches address the deblurr…
SOLD2: Self-supervised Occlusion-aware Line Description and Detection
Rémi Pautrat, Juan-Ting Lin, Viktor Larsson +2
Compared to feature point detection and description, detecting and matching line segments offer additional challenges. Yet, line features represent a promising complement to points…
Unsupervised Monocular Depth Reconstruction of Non-Rigid Scenes
Ayça Takmaz, Danda Pani Paudel, Thomas Probst +3
Monocular depth reconstruction of complex and dynamic scenes is a highly challenging problem. While for rigid scenes learning-based methods have been offering promising results eve…