Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Paulo F. U. Gotardo"'
Publikováno v:
CVPR
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Style transfer between images is an artistic application of CNNs, where the 'style' of one image is transferred onto another image while preserving the latter's content. The state of the art in neural style transfer is based on Adaptive Instance Norm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2089575e2b0c2721bad7e1694db4c2a0
Publikováno v:
ACM Transactions on Graphics. 39
We propose a new light-weight face capture system capable of reconstructing both high-quality geometry and detailed appearance maps from a single exposure. Unlike currently employed appearance acquisition systems, the proposed technology does not req
Publikováno v:
ACM Transactions on Graphics. 37:1-13
We present a method to acquire dynamic properties of facial skin appearance, including dynamic diffuse albedo encoding blood flow, dynamic specular intensity, and per-frame high resolution normal maps for a facial performance sequence. The method rec
Autor:
Tomas Simon, Dan Andrei Calian, Jean-François Lalonde, Iain Matthews, Kenny Mitchell, Paulo F. U. Gotardo
Publikováno v:
Computer Graphics Forum. 37:51-61
Photometric Stereo (PS) under outdoor illumination remains a challenging, ill-posed problem due to insufficient variability in illumination. Months-long capture sessions are typically used in this setup, with little success on shorter, single-day tim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2972b77b53b77d30724215308f1a2eff
Publikováno v:
Pattern Recognition. 47:208-215
Deformable shape detection is an important problem in computer vision and pattern recognition. However, standard detectors are typically limited to locating only a few salient landmarks such as landmarks near edges or areas of high contrast, often co
Autor:
Aleix M. Martinez, Paulo F. U. Gotardo
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 33:2051-2065
We address the classical computer vision problems of rigid and non-rigid structure from motion (SFM) with occlusion. We assume that the columns of the input observation matrix W describe smooth 2D point trajectories over time. We then derive a family
Publikováno v:
ICCV
Photometric stereo (PS) is an established technique for high-detail reconstruction of 3D geometry and appearance. To correct for surface integration errors, PS is often combined with multiview stereo (MVS). With dynamic objects, PS reconstruction als
Publikováno v:
3DV
While Photometric Stereo (PS) has long been confined to the lab, there has been a recent interest in applying this technique to reconstruct outdoor objects and scenes. Un-fortunately, the most successful outdoor PS techniques typically require gather
Publikováno v:
ICCP
Photometric Stereo has been explored extensively in laboratory conditions since its inception. Recently, attempts have been made at applying this technique under natural outdoor lighting. Outdoor photometric stereo presents additional challenges as o