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Wang Yifan
Wang Yifan
Postdoc at Stanford University
Bestätigte E-Mail-Adresse bei stanford.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A fully progressive approach to single-image super-resolution
Y Wang, F Perazzi, B McWilliams, A Sorkine-Hornung, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1882018
Patch-based progressive 3d point set upsampling
W Yifan, S Wu, H Huang, D Cohen-Or, O Sorkine-Hornung
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1392019
Two-Stream SR-CNNs for Action Recognition in Videos.
Y Wang, J Song, L Wang, L Van Gool, O Hilliges
BMVC, 2016
1022016
Differentiable Surface Splatting for Point-based Geometry Processing
W Yifan, F Serena, S Wu, C Öztireli, O Sorkine-Hornung
ACM Trans. Graph. 38 (6), 230:1--230:14, 2019
602019
Neural cages for detail-preserving 3d deformations
W Yifan, N Aigerman, VG Kim, S Chaudhuri, O Sorkine-Hornung
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
492020
Blind image super-resolution with spatially variant degradations
V Cornillere, A Djelouah, W Yifan, O Sorkine-Hornung, C Schroers
ACM Transactions on Graphics (TOG) 38 (6), 1-13, 2019
382019
Advances in neural rendering
A Tewari, J Thies, B Mildenhall, P Srinivasan, E Tretschk, W Yifan, ...
Computer Graphics Forum 41 (2), 703-735, 2022
342022
Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields
W Yifan, L Rahmann, O Sorkine-Hornung
arXiv preprint arXiv:2106.05187, 2021
11*2021
Iso-points: Optimizing neural implicit surfaces with hybrid representations
W Yifan, S Wu, C Oztireli, O Sorkine-Hornung
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
92021
Input-level Inductive Biases for 3D Reconstruction
W Yifan, C Doersch, R Arandjelović, J Carreira, A Zisserman
12021
Techniques for upscaling images generated with undetermined downscaling kernels
C Schroers, Y Wang, V Cornillere, O Sorkine-hornung, A Djelouah
US Patent App. 16/542,227, 2021
12021
Video Super-Resolution Using An Artificial Neural Network
C Schroers, Y Wang, F Perazzi, B McWilliams, A Sorkine-Hornung
US Patent App. 15/886,625, 2019
12019
Techniques for performing point-based inverse rendering
AC Öztireli, O Sorkine-hornung, S Wu, Y Wang
US Patent App. 16/586,746, 2021
2021
Detail-driven Geometry Processing Pipeline using Neural Networks
Y Wang
ETH Zurich, 2021
2021
Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations Supplemental Material
W Yifan, S Wu, C Oztireli, O Sorkine-Hornung
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