Obserwuj
Joey Litalien
Joey Litalien
Tesla Autopilot
Zweryfikowany adres z mail.mcgill.ca - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
5292021
DIB-R++: learning to predict lighting and material with a hybrid differentiable renderer
W Chen, J Litalien, J Gao, Z Wang, C Fuji Tsang, S Khamis, O Litany, ...
Advances in Neural Information Processing Systems 34, 22834-22848, 2021
672021
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, ...
R, 2022
182022
Delayed Rejection Metropolis Light Transport
D Rioux-Lavoie, J Litalien, A Gruson, T Hachisuka, D Nowrouzezahrai
ACM Transactions on Graphics (TOG) 39 (3), 13, 2020
142020
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
32022
Hybrid differentiable rendering for light transport simulation systems and applications
W Chen, J Litalien, J Gao, Z Wang, CTTCL Fuji, S Khamis, O Litany, ...
US Patent 11,922,558, 2024
22024
Scaling neural representations for multi-view reconstruction of scenes
L Xiao, D Nowrouzezahrai, J Litalien, F Liu
US Patent App. 18/123,058, 2023
12023
Neural Product Importance Sampling via Warp Composition
J Litalien, M Hašan, F Luan, K Mullia, I Georgiev
arXiv preprint arXiv:2409.18974, 2024
2024
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–8