no code implementations • 6 Oct 2022 • Hassan Abu Alhaija, Alara Dirik, André Knörig, Sanja Fidler, Maria Shugrina
Specifically, we propose a novel method to convert 3D shapes into compact 1-channel geometry images and leverage StyleGAN3 and image-to-image translation networks to generate 3D objects in 2D space.
1 code implementation • 10 May 2021 • Stephan R. Richter, Hassan Abu Alhaija, Vladlen Koltun
We confirm the benefits of our contributions in controlled experiments and report substantial gains in stability and realism in comparison to recent image-to-image translation methods and a variety of other baselines.
no code implementations • 29 Jun 2020 • Hassan Abu Alhaija, Siva Karthik Mustikovela, Justus Thies, Varun Jampani, Matthias Nießner, Andreas Geiger, Carsten Rother
Neural rendering techniques promise efficient photo-realistic image synthesis while at the same time providing rich control over scene parameters by learning the physical image formation process.
no code implementations • 12 Sep 2018 • Hassan Abu Alhaija, Siva Karthik Mustikovela, Andreas Geiger, Carsten Rother
The task of generating natural images from 3D scenes has been a long standing goal in computer graphics.
no code implementations • ICCV 2017 • Aseem Behl, Omid Hosseini Jafari, Siva Karthik Mustikovela, Hassan Abu Alhaija, Carsten Rother, Andreas Geiger
Existing methods for 3D scene flow estimation often fail in the presence of large displacement or local ambiguities, e. g., at texture-less or reflective surfaces.
no code implementations • 4 Aug 2017 • Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars Mescheder, Andreas Geiger, Carsten Rother
Further, we demonstrate the utility of our approach on training standard deep models for semantic instance segmentation and object detection of cars in outdoor driving scenes.
1 code implementation • CVPR 2017 • Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmueller, Bogdan Savchynskyy
We study the quadratic assignment problem, in computer vision also known as graph matching.