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Towaki Takikawa
Towaki Takikawa
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
Gated-scnn: Gated shape cnns for semantic segmentation
T Takikawa, D Acuna, V Jampani, S Fidler
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
7122019
Magic3d: High-resolution text-to-3d content creation
CH Lin, J Gao, L Tang, T Takikawa, X Zeng, X Huang, K Kreis, S Fidler, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
4312023
Neural fields in visual computing and beyond
Y Xie, T Takikawa, S Saito, O Litany, S Yan, N Khan, F Tombari, ...
Computer Graphics Forum 41 (2), 641-676, 2022
420*2022
Neural geometric level of detail: Real-time rendering with implicit 3d shapes
T Takikawa, J Litalien, K Yin, K Kreis, C Loop, D Nowrouzezahrai, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
3382021
Kaolin: A Pytorch Library for Accelerating 3D Deep Learning Research
CF Tsang, M Shugrina, JF Lafleche, T Takikawa, J Wang, C Loop, ...
https://github.com/NVIDIAGameWorks/kaolin, 0
73*
Variable bitrate neural fields
T Takikawa, A Evans, J Tremblay, T Müller, M McGuire, A Jacobson, ...
ACM SIGGRAPH 2022 Conference Proceedings, 1-9, 2022
712022
ATT3D: Amortized Text-to-3D Object Synthesis
J Lorraine, K Xie, X Zeng, CH Lin, T Takikawa, N Sharp, TY Lin, MY Liu, ...
arXiv preprint arXiv:2306.07349, 2023
212023
Rtmv: A ray-traced multi-view synthetic dataset for novel view synthesis
J Tremblay, M Meshry, A Evans, J Kautz, A Keller, S Khamis, T Müller, ...
arXiv preprint arXiv:2205.07058, 2022
172022
A dataset and explorer for 3D signed distance functions
T Takikawa, A Glassner, M McGuire
Journal of Computer Graphics Techniques Vol 11 (2), 2022
132022
Kaolin wisp: A pytorch library and engine for neural fields research
T Takikawa, O Perel, CF Tsang, C Loop, J Litalien, J Tremblay, S Fidler, ...
https://github.com/NVIDIAGameWorks/kaolin-wisp, 2022
112022
Real-time rendering with implicit shapes
TA Takikawa, J Litalien, K Yin, KJ Kreis, C Loop, M McGuire, S Fidler
US Patent 11,335,056, 2022
22022
What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs
A Trevithick, M Chan, T Takikawa, U Iqbal, S De Mello, M Chandraker, ...
arXiv preprint arXiv:2401.02411, 2024
2024
Compact Neural Graphics Primitives with Learned Hash Probing
T Takikawa, T Müller, M Nimier-David, A Evans, S Fidler, A Jacobson, ...
SIGGRAPH Asia 2023 Conference Papers, 1-10, 2023
2023
Table dictionaries for compressing neural graphics primitives
AG Keller, T Müller-Höhne, T Takikawa
US Patent App. 18/298,852, 2023
2023
Shape fusion for image analysis
DJA Marrero, T Takikawa, V Jampani, S Fidler
US Patent App. 18/333,166, 2023
2023
Neural Fields for Visual Computing: SIGGRAPH 2023 Course
T Takikawa, S Saito, J Tompkin, V Sitzmann, S Sridhar, O Litany, A Yu
ACM SIGGRAPH 2023 Courses, 1-227, 2023
2023
Shape fusion for image analysis
DJA Marrero, T Takikawa, V Jampani, S Fidler
US Patent 11,676,284, 2023
2023
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