Second, we calibrate the evaluation criteria for 3D shape reconstruction through behavioral studies, and use them to objectively and systematically benchmark
Sun Pix D Dataset and CVPR paper
The reconstruction of digital 3D models from images includes various tasks rang- tion datasets with ground truth data which allows the evaluation of 3D
SyB R small
We operate in an unsupervised setting on an unordered image dataset, and pose the object recognition problem as one of finding matches that are consistent
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3D Bird Reconstruction: a Dataset, Model, and Shape Recovery from a Keywords: pose estimation, shape estimation, birds, animals, dataset 1 Introduction
d birds singleview
Figure 1: Dense 3D reconstruction of a complex dynamic scene from two perspective frames using our dynamic objects: the KITTI dataset [11], the virtual KITTI
Kumaretal ICCV
can accelerate the convergence of dense 3D reconstruction results Keywords: depth image dataset, depth image enhancement, 3D recon- struction, deep
Junho Jeon Reconstruction based Pairwise Depth ECCV paper
3D face reconstruction from a single 2D image in the wild To this end, we organise a competition that provides a new benchmark dataset that contains 2000 2D
By leveraging the high performance of 3D convolutional neural nets and large open datasets of 3D models, our ap- proach learns a smooth function that maps a
d recgan B B tpami
knowledge based 3D model optimization method to produce the the final 3D building models. Results on a public 3D reconstruction dataset and a novel released
tions: datasets like ShapeNet or Elastic2D3D [32] do not have real images and recent 3D reconstruction challenges using. ShapeNet have to be exclusively on
In the context of 3D reconstruction these datasets are rather difficult to produce. The field is mainly divided into datasets created from real photos with
Example dishes from the different datasets. The two images on the left belong to the Meals-45 dataset the ones in the middle come from the Plates-. 18 and
a unified monocular 3D reconstruction framework that can handle generic (complex and dynamic) dynamic objects: the KITTI dataset [11] the virtual KITTI.
In this paper we propose a pairwise depth image dataset generation method using dense 3D surface reconstruction with a filtering method to remove low quality
3D Garment Reconstruction from Single Images. Heming Zhu12†
07-Mar-2019 Abstract. We introduce a synthetic dataset for evaluating non-rigid 3D human reconstruction based on conventional RGB-D cameras. The.
3D Building Reconstruction From Monocular Remote Sensing Images