Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Prashanth Chandran"'
Publikováno v:
Computer Graphics Forum. 41:267-277
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55dc54b7e06500222e2e18074b23123b
https://doi.org/10.1111/cgf.14641
https://doi.org/10.1111/cgf.14641
Autor:
Gaspard Zoss, Prashanth Chandran, Eftychios Sifakis, Markus Gross, Paulo Gotardo, Derek Bradley
Publikováno v:
ACM Transactions on Graphics. 41:1-12
Photorealistic digital re-aging of faces in video is becoming increasingly common in entertainment and advertising. But the predominant 2D painting workflow often requires frame-by-frame manual work that can take days to accomplish, even by skilled a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26bc3cfdbacff43af6f8a1788ce08ddf
https://doi.org/10.1145/3550454.3555520
https://doi.org/10.1145/3550454.3555520
Publikováno v:
ACM Transactions on Graphics. 41:1-14
Generating realistic facial animation for CG characters and digital doubles is one of the hardest tasks in animation. A typical production workflow involves capturing the performance of a real actor using mo-cap technology, and transferring the captu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acda8b15fa75fc4e471605c0e46f326a
https://doi.org/10.1145/3528223.3530114
https://doi.org/10.1145/3528223.3530114
Publikováno v:
ACM Transactions on Graphics. 41:1-12
Facial hair is a largely overlooked topic in facial performance capture. Most production pipelines in the entertainment industry do not have a way to automatically capture facial hair or track the skin underneath it. Thus, actors are asked to shave c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5dd1e1ee2259a163730fa0cbb6878326
https://doi.org/10.1145/3528223.3530116
https://doi.org/10.1145/3528223.3530116
Publikováno v:
Computer Graphics Forum. 41:195-207
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f1945726e7214ced9a0eb82d35c64e8
https://doi.org/10.1111/cgf.14468
https://doi.org/10.1111/cgf.14468
Autor:
Prashanth Chandran, Sebastian Winberg, Gaspard Zoss, Jérémy Riviere, Markus Gross, Paulo Gotardo, Derek Bradley
Publikováno v:
ACM Transactions on Graphics. 40:1-14
For several decades, researchers have been advancing techniques for creating and rendering 3D digital faces, where a lot of the effort has gone into geometry and appearance capture, modeling and rendering techniques. This body of research work has la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09c6da09ede66dcd8afd144e9208ea0b
https://doi.org/10.1145/3478513.3480509
https://doi.org/10.1145/3478513.3480509
Publikováno v:
Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::674cd6b52c3adbb99cd5264ecfbfaea3
https://doi.org/10.1145/3528233.3530753
https://doi.org/10.1145/3528233.3530753
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
Autor:
Jindal K. Shah, Prashanth Chandran
Publikováno v:
Fluid Phase Equilibria. 472:48-55
The phase equilibria knowledge of fatty acid and water mixtures play a crucial role in the design and operation of processes such as bio-diesel synthesis, sea water desalination and novel solvent design. Experimental data on the mutual solubility of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a0d0296095fdcfb6e25e9f4e684ba6e
https://doi.org/10.1016/j.fluid.2018.05.002
https://doi.org/10.1016/j.fluid.2018.05.002