Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Minhyuk Sung"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200618
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf7917a30d5302d3861e4e3ea4894590
https://doi.org/10.1007/978-3-031-20062-5_35
https://doi.org/10.1007/978-3-031-20062-5_35
Autor:
Noam Aigerman, Mikaela Angelina Uy, Leonidas J. Guibas, Vladimir G. Kim, Siddhartha Chaudhuri, Minhyuk Sung
Publikováno v:
CVPR
We propose a novel technique for producing high-quality 3D models that match a given target object image or scan. Our method is based on retrieving an existing shape from a database of 3D models and then deforming its parts to match the target shape.
Autor:
He Wang, Jiahui Huang, Tolga Birdal, Federica Arrigoni, Minhyuk Sung, Leonidas J. Guibas, Shi-Min Hu
Publikováno v:
CVPR
We present MultiBodySync, a novel, end-to-end trainable multi-body motion segmentation and rigid registration framework for multiple input 3D point clouds. The two non-trivial challenges posed by this multi-scan multibody setting that we investigate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::807eb91828f0ef9733f5b938fcc2dfa1
http://hdl.handle.net/11311/1220242
http://hdl.handle.net/11311/1220242
Publikováno v:
CVPR
We propose DeepMetaHandles, a 3D conditional generative model based on mesh deformation. Given a collection of 3D meshes of a category and their deformation handles (control points), our method learns a set of meta-handles for each shape, which are r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5127cb912f4ed8f1e6c7c1547de72e7
Shape deformation is an important component in any geometry processing toolbox. The goal is to enable intuitive deformations of single or multiple shapes or to transfer example deformations to new shapes while preserving the plausibility of the defor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d57400c368ba67530458fae623c97d1
http://arxiv.org/abs/2009.01456
http://arxiv.org/abs/2009.01456
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030586096
ECCV (12)
ECCV (12)
We propose a neural geometric parser learning single image camera calibration for man-made scenes. Unlike previous neural approaches that rely only on semantic cues obtained from neural networks, our approach considers both semantic and geometric cue
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::186a6ccf0af91f767d8120c060baae26
https://doi.org/10.1007/978-3-030-58610-2_32
https://doi.org/10.1007/978-3-030-58610-2_32
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585389
ECCV (6)
ECCV (6)
Autonomous assembly is a crucial capability for robots in many applications. For this task, several problems such as obstacle avoidance, motion planning, and actuator control have been extensively studied in robotics. However, when it comes to task s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1613049678d127fe2c0d824821086a1c
https://doi.org/10.1007/978-3-030-58539-6_40
https://doi.org/10.1007/978-3-030-58539-6_40
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585709
ECCV (7)
ECCV (7)
We introduce a new problem of retrieving 3D models that are deformable to a given query shape and present a novel deep deformation-aware embedding to solve this retrieval task. 3D model retrieval is a fundamental operation for recovering a clean and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9db5404413126821d47907f0af25b570
https://doi.org/10.1007/978-3-030-58571-6_24
https://doi.org/10.1007/978-3-030-58571-6_24
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585228
ECCV (18)
ECCV (18)
We investigate the problem of learning to generate 3D parametric surface representations for novel object instances, as seen from one or more views. Previous work on learning shape reconstruction from multiple views uses discrete representations such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::267b9b2d429dd2567723189ee8115b6c
https://doi.org/10.1007/978-3-030-58523-5_8
https://doi.org/10.1007/978-3-030-58523-5_8
Publikováno v:
ACM Transactions on Graphics. 36:1-12
Assembly-based tools provide a powerful modeling paradigm for non-expert shape designers. However, choosing a component from a large shape repository and aligning it to a partial assembly can become a daunting task. In this paper we describe novel ne