Seguir
Zhixin Shu
Zhixin Shu
Adobe Research
E-mail confirmado em adobe.com - Página inicial
Título
Citado por
Citado por
Ano
Point-nerf: Point-based neural radiance fields
Q Xu, Z Xu, J Philip, S Bi, Z Shu, K Sunkavalli, U Neumann
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
3772022
Neural face editing with intrinsic image disentangling
Z Shu, E Yumer, S Hadap, K Sunkavalli, E Shechtman, D Samaras
Proceedings of the IEEE conference on computer vision and pattern …, 2017
3092017
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance
Z Shu, M Sahasrabudhe, A Guler, D Samaras, N Paragios, I Kokkinos
European Conference on Computer Vision (ECCV), 2018., 2018
2162018
Docunet: Document image unwarping via a stacked u-net
K Ma, Z Shu, X Bai, J Wang, D Samaras
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1392018
Pose with style: Detail-preserving pose-guided image synthesis with conditional stylegan
B Albahar, J Lu, J Yang, Z Shu, E Shechtman, JB Huang
ACM Transactions on Graphics (TOG) 40 (6), 1-11, 2021
932021
Rignerf: Fully controllable neural 3d portraits
SR Athar, Z Xu, K Sunkavalli, E Shechtman, Z Shu
Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2022
872022
Portrait lighting transfer using a mass transport approach
Z Shu, S Hadap, E Shechtman, K Sunkavalli, S Paris, D Samaras
ACM Transactions on Graphics (TOG) 36 (4), 1, 2017
832017
Dewarpnet: Single-image document unwarping with stacked 3d and 2d regression networks
S Das, K Ma, Z Shu, D Samaras, R Shilkrot
Proceedings of the IEEE/CVF international conference on computer vision, 131-140, 2019
712019
Content-aware gan compression
Y Liu, Z Shu, Y Li, Z Lin, F Perazzi, SY Kung
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
502021
Lifting autoencoders: Unsupervised learning of a fully-disentangled 3d morphable model using deep non-rigid structure from motion
M Sahasrabudhe, Z Shu, E Bartrum, R Alp Guler, D Samaras, I Kokkinos
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
432019
Palettenerf: Palette-based appearance editing of neural radiance fields
Z Kuang, F Luan, S Bi, Z Shu, G Wetzstein, K Sunkavalli
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
312023
Learning from documents in the wild to improve document unwarping
K Ma, S Das, Z Shu, D Samaras
ACM SIGGRAPH 2022 Conference Proceedings, 1-9, 2022
252022
An adversarial neuro-tensorial approach for learning disentangled representations
M Wang, Z Shu, S Cheng, Y Panagakis, D Samaras, S Zafeiriou
International Journal of Computer Vision 127, 743-762, 2019
252019
Flame-in-nerf: Neural control of radiance fields for free view face animation
SR Athar, Z Shu, D Samaras
2023 IEEE 17th International Conference on Automatic Face and Gesture …, 2023
232023
3d-fm gan: Towards 3d-controllable face manipulation
Y Liu, Z Shu, Y Li, Z Lin, R Zhang, SY Kung
European Conference on Computer Vision, 107-125, 2022
222022
Eyeopener: Editing eyes in the wild
Z Shu, E Shechtman, D Samaras, S Hadap
ACM Transactions on Graphics (TOG) 36 (1), 1-13, 2016
222016
Action detection with improved dense trajectories and sliding window
Z Shu, K Yun, D Samaras
Computer Vision-ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and …, 2015
222015
Single-image full-body human relighting
M Lagunas, X Sun, J Yang, R Villegas, J Zhang, Z Shu, B Masia, ...
arXiv preprint arXiv:2107.07259, 2021
212021
Neural face editing with intrinsic image disentangling
S Hadap, E Shechtman, Z Shu, K Sunkavalli, M Yumer
US Patent 10,565,758, 2020
192020
Improving heterogeneous face recognition with conditional adversarial networks
W Zhang, Z Shu, D Samaras, L Chen
arXiv preprint arXiv:1709.02848, 2017
152017
O sistema não pode executar a operação agora. Tente novamente mais tarde.
Artigos 1–20