Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Gaurav Bharaj"'
Autor:
David Ferman, Gaurav Bharaj
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200762
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61cd4158df268cefe95c8ef1090a041b
https://doi.org/10.1007/978-3-031-20077-9_38
https://doi.org/10.1007/978-3-031-20077-9_38
Publikováno v:
Interspeech 2021.
State-of-the-art methods for audio generation suffer from fingerprint artifacts and repeated inconsistencies across temporal and spectral domains. Such artifacts could be well captured by the frequency domain analysis over the spectrogram. Thus, we p
Autor:
Cedric Thebault, Junghyun Ahn, Gaurav Bharaj, Abdallah Dib, Philippe-Henri Gosselin, Louis Chevallier, Marco Romeo
We present a differentiable ray-tracing based novel face reconstruction approach where scene attributes - 3D geometry, reflectance (diffuse, specular and roughness), pose, camera parameters, and scene illumination - are estimated from unconstrained m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c1ad1edbef7dd05b7bf9d4b5d025ab8
http://arxiv.org/abs/2101.05356
http://arxiv.org/abs/2101.05356
Autor:
Christian Theobalt, Mohamed Elgharib, Patrick Pérez, Hans-Peter Seidel, Ayush Tewari, Michael Zollhöfer, Gaurav Bharaj, Florian Bernard
Publikováno v:
IEEE/CVF Conference on Computer Vision and Pattern Recognition
CVPR
CVPR
StyleGAN generates photorealistic portrait images of faces with eyes, teeth, hair and context (neck, shoulders, background), but lacks a rig-like control over semantic face parameters that are interpretable in 3D, such as face pose, expressions, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0df9cb049d79e5cbd718776bdc63f4e
https://hdl.handle.net/21.11116/0000-0007-B0E7-D21.11116/0000-0008-BD14-D
https://hdl.handle.net/21.11116/0000-0007-B0E7-D21.11116/0000-0008-BD14-D
Autor:
Ayush Tewari, Florian Bernard, Gaurav Bharaj, Patrick Pérez, Michael Zollhöfer, Hans-Peter Seidel, Mohamed Elgharib, Christian Theobalt, Pablo Garrido
Publikováno v:
IEEE/CVF Conference on Computer Vision and Pattern Recognition
CVPR
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Monocular image-based 3D reconstruction of faces is a long-standing problem in computer vision. Since image data is a 2D projection of a 3D face, the resulting depth ambiguity makes the problem ill-posed. Most existing methods rely on data-driven pri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b923ef08dc313a8522439f543558f49f
https://hdl.handle.net/21.11116/0000-0008-AEE7-021.11116/0000-0005-7B0C-5
https://hdl.handle.net/21.11116/0000-0008-AEE7-021.11116/0000-0005-7B0C-5
Autor:
Yun Fei, Changxi Zheng, Hanspeter Pfister, James Tompkin, Gaurav Bharaj, Wojciech Matusik, David I. W. Levin
Publikováno v:
MIT web domain
Metallophones such as glockenspiels produce sounds in response to contact. Building these instruments is a complicated process, limiting their shapes to well-understood designs such as bars. We automatically optimize the shape of arbitrary 2D and 3D
Publikováno v:
Computer Graphics Forum
EUROGRAPHICS 2012
EUROGRAPHICS 2012
Rigging an arbitrary 3D character by creating an animation skeleton is a time-consuming process even for experienced animators. In this paper, we present an algorithm that automatically creates animation rigs for multi-component 3D models, as they ar
Autor:
Hanspeter Pfister, James Tompkin, Bernhard Thomaszewski, Stelian Coros, Bernd Bickel, Gaurav Bharaj
Publikováno v:
Symposium on Computer Animation
Creating mechanical automata that can walk in stable and pleasing manners is a challenging task that requires both skill and expertise. We propose to use computational design to offset the technical difficulties of this process. A simple drag-and-dro
Autor:
Christian Theobalt, Meinard Müller, Andreas Baak, Hans-Peter Seidel, Gaurav Bharaj, Thomas Helten
Publikováno v:
3DV
Reconstructing a three-dimensional representation of human motion in real-time constitutes an important research topic with applications in sports sciences, human-computer-interaction, and the movie industry. In this paper, we contribute with a robus
Publikováno v:
Consumer Depth Cameras for Computer Vision ISBN: 9781447146391
ICCV
ICCV
In recent years, depth cameras have become a widely available sensor type that captures depth images at real-time frame rates. Even though recent approaches have shown that 3D pose estimation from monocular 2.5D depth images has become feasible, ther
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8cad72f58829a26845c3719cd0a6e3e
https://doi.org/10.1007/978-1-4471-4640-7_5
https://doi.org/10.1007/978-1-4471-4640-7_5