Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Schmidt, Tanner"'
Autor:
Aroudj, Samir, Lovegrove, Steven, Ilg, Eddy, Schmidt, Tanner, Goesele, Michael, Newcombe, Richard
We propose a novel explicit dense 3D reconstruction approach that processes a set of images of a scene with sensor poses and calibrations and estimates a photo-real digital model. One of the key innovations is that the underlying volumetric represent
Externí odkaz:
http://arxiv.org/abs/2203.00051
Autor:
Xu, Binbin, Ma, Lingni, Ye, Yuting, Schmidt, Tanner, Twigg, Christopher D., Lovegrove, Steven
Neural shape models can represent complex 3D shapes with a compact latent space. When applied to dynamically deforming shapes such as the human hands, however, they would need to preserve temporal coherence of the deformation as well as the intrinsic
Externí odkaz:
http://arxiv.org/abs/2109.15299
Autor:
Li, Tianye, Slavcheva, Mira, Zollhoefer, Michael, Green, Simon, Lassner, Christoph, Kim, Changil, Schmidt, Tanner, Lovegrove, Steven, Goesele, Michael, Newcombe, Richard, Lv, Zhaoyang
We propose a novel approach for 3D video synthesis that is able to represent multi-view video recordings of a dynamic real-world scene in a compact, yet expressive representation that enables high-quality view synthesis and motion interpolation. Our
Externí odkaz:
http://arxiv.org/abs/2103.02597
We present STaR, a novel method that performs Self-supervised Tracking and Reconstruction of dynamic scenes with rigid motion from multi-view RGB videos without any manual annotation. Recent work has shown that neural networks are surprisingly effect
Externí odkaz:
http://arxiv.org/abs/2101.01602
Autor:
Li, Kejie, Rünz, Martin, Tang, Meng, Ma, Lingni, Kong, Chen, Schmidt, Tanner, Reid, Ian, Agapito, Lourdes, Straub, Julian, Lovegrove, Steven, Newcombe, Richard
Object-oriented maps are important for scene understanding since they jointly capture geometry and semantics, allow individual instantiation and meaningful reasoning about objects. We introduce FroDO, a method for accurate 3D reconstruction of object
Externí odkaz:
http://arxiv.org/abs/2005.05125
Autor:
Chabra, Rohan, Lenssen, Jan Eric, Ilg, Eddy, Schmidt, Tanner, Straub, Julian, Lovegrove, Steven, Newcombe, Richard
Efficiently reconstructing complex and intricate surfaces at scale is a long-standing goal in machine perception. To address this problem we introduce Deep Local Shapes (DeepLS), a deep shape representation that enables encoding and reconstruction of
Externí odkaz:
http://arxiv.org/abs/2003.10983
The last several years have seen significant progress in using depth cameras for tracking articulated objects such as human bodies, hands, and robotic manipulators. Most approaches focus on tracking skeletal parameters of a fixed shape model, which m
Externí odkaz:
http://arxiv.org/abs/1711.07999
Estimating the 6D pose of known objects is important for robots to interact with the real world. The problem is challenging due to the variety of objects as well as the complexity of a scene caused by clutter and occlusions between objects. In this w
Externí odkaz:
http://arxiv.org/abs/1711.00199
Autor:
Li, Tianye, Slavcheva, Mira, Zollhoefer, Michael, Green, Simon, Lassner, Christoph, Kim, Changil, Schmidt, Tanner, Lovegrove, Steven, Goesele, Michael, Newcombe, Richard, Lv, Zhaoyang
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
We propose a novel approach for 3D video synthesis that is able to represent multi-view video recordings of a dynamic real-world scene in a compact, yet expressive representation that enables high-quality view synthesis and motion interpolation. Our
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b95c2fd19823c41232445ac59139509f
https://doi.org/10.1109/cvpr52688.2022.00544
https://doi.org/10.1109/cvpr52688.2022.00544
Autor:
Schmidt, Tanner Ronald
Publikováno v:
IndraStra Global.
The effects of supplementing ruminal bypass amino acid supplement AminoGain® (AG; ADM Alliance Nutrition, Quincy, IL) to steers fed varying dietary energy levels during the growing and finishing phases on growth performance and carcass characteristi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=issn23813652::d970b60781ebd987c2f50a08b51f4547
http://hdl.handle.net/2346/60651
http://hdl.handle.net/2346/60651