4 papers · 1 filter
Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild
Alexander Grabner, Yaming Wang, Peizhao Zhang +5
We present a novel 3D pose refinement approach based on differentiable rendering for objects of arbitrary categories in the wild. In contrast to previous methods, we make two main…
Location Field Descriptors: Single Image 3D Model Retrieval in the Wild
Alexander Grabner, Peter M. Roth, Vincent Lepetit
We present Location Field Descriptors, a novel approach for single image 3D model retrieval in the wild. In contrast to previous methods that directly map 3D models and RGB images…
GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild
Alexander Grabner, Peter M. Roth, Vincent Lepetit
We present a joint 3D pose and focal length estimation approach for object categories in the wild. In contrast to previous methods that predict 3D poses independently of the focal…
3D Pose Estimation and 3D Model Retrieval for Objects in the Wild
Alexander Grabner, Peter M. Roth, Vincent Lepetit
We propose a scalable, efficient and accurate approach to retrieve 3D models for objects in the wild. Our contribution is twofold. We first present a 3D pose estimation approach fo…