no code implementations • 15 Apr 2024 • Tong Wu, Jia-Mu Sun, Yu-Kun Lai, Yuewen Ma, Leif Kobbelt, Lin Gao
To address these issues, we introduce DeferredGS, a method for decoupling and editing the Gaussian splatting representation using deferred shading.
no code implementations • 13 Dec 2023 • Gregor Kobsik, Isaak Lim, Leif Kobbelt
To our knowledge, we are the first to propose a self-supervised data-driven method for partial extrinsic symmetry detection.
no code implementations • 22 Nov 2023 • Tim Elsner, Julia Berger, Tong Wu, Victor Czech, Lin Gao, Leif Kobbelt
Seam carving is an image editing method that enable content-aware resizing, including operations like removing objects.
no code implementations • 24 Apr 2023 • Arturs Berzins, Moritz Ibing, Leif Kobbelt
Furthermore, we show how boundary sensitivity helps to optimize and constrain objectives (such as surface area and volume), which are difficult to compute without first converting to another representation, such as a mesh.
no code implementations • 28 Mar 2023 • Tim Elsner, Victor Czech, Julia Berger, Zain Selman, Isaak Lim, Leif Kobbelt
Neural Radiance Fields (NeRFs) learn to represent a 3D scene from just a set of registered images.
no code implementations • 13 Dec 2022 • Moritz Ibing, Isaak Lim, Leif Kobbelt
Although massive pre-trained vision-language models like CLIP show impressive generalization capabilities for many tasks, still it often remains necessary to fine-tune them for improved performance on specific datasets.
no code implementations • 24 Nov 2021 • Tim Elsner, Moritz Ibing, Victor Czech, Julius Nehring-Wirxel, Leif Kobbelt
We evaluate our method by comparing to state-of-the-art data-driven shape editing methods.
1 code implementation • 24 Nov 2021 • Moritz Ibing, Gregor Kobsik, Leif Kobbelt
Autoregressive models have proven to be very powerful in NLP text generation tasks and lately have gained popularity for image generation as well.
no code implementations • CVPR 2021 • Moritz Ibing, Isaak Lim, Leif Kobbelt
To remedy these issues, we propose to train the GAN on grids (i. e. each cell covers a part of a shape).
no code implementations • 8 Jun 2021 • Laurent Kloeker, Fabian Thomsen, Lutz Eckstein, Philip Trettner, Tim Elsner, Julius Nehring-Wirxel, Kersten Schuster, Leif Kobbelt, Michael Hoesch
The research project HDV-Mess aims at a currently missing, but very crucial component for addressing important challenges in the field of connected and automated driving on public roads.
no code implementations • 3 Mar 2021 • Julius Nehring-Wirxel, Philip Trettner, Leif Kobbelt
We present octree-embedded BSPs, a volumetric mesh data structure suited for performing a sequence of Boolean operations (iterated CSG) efficiently.
Computational Geometry Graphics
1 code implementation • 22 Oct 2020 • Cheng Lin, Lingjie Liu, Changjian Li, Leif Kobbelt, Bin Wang, Shiqing Xin, Wenping Wang
Segmenting arbitrary 3D objects into constituent parts that are structurally meaningful is a fundamental problem encountered in a wide range of computer graphics applications.
1 code implementation • 15 Oct 2019 • Lin Gao, Ling-Xiao Zhang, Hsien-Yu Meng, Yi-Hui Ren, Yu-Kun Lai, Leif Kobbelt
In this paper, we present a novel learning framework to automatically discover global planar reflective symmetry of a 3D shape.
no code implementations • 27 Jun 2019 • Isaak Lim, Moritz Ibing, Leif Kobbelt
In addition, we show that careful sampling is important both for the input geometry and in our point cloud generation process to improve results.
no code implementations • 18 Sep 2018 • Isaak Lim, Alexander Dielen, Marcel Campen, Leif Kobbelt
The question of representation of 3D geometry is of vital importance when it comes to leveraging the recent advances in the field of machine learning for geometry processing tasks.
no code implementations • ECCV 2018 • Yan-Pei Cao, Zheng-Ning Liu, Zheng-Fei Kuang, Leif Kobbelt, Shi-Min Hu
We present a data-driven approach to reconstructing high-resolution and detailed volumetric representations of 3D shapes.
no code implementations • 5 Sep 2017 • Lin Gao, Yu-Kun Lai, Jie Yang, Ling-Xiao Zhang, Leif Kobbelt, Shihong Xia
This along with a suitably chosen deformation basis including spatially localized deformation modes leads to significant advantages, including more meaningful, reliable, and efficient deformations because fewer and localized deformation modes are applied.
Graphics
no code implementations • CVPR 2013 • Henrik Zimmer, Marcel Campen, Leif Kobbelt
Lien et al. [16] proposed two point-wise concavity measures in the context of Approximate Convex Decompositions of polygons measuring the distance from a point to the polygon's convex hull: an accurate Shortest Path-Concavity (SPC) measure and a Straight Line-Concavity (SLC) approximation of the same.