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Ruofan Liang
Ruofan Liang
Department of Computer Science, University of Toronto
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
Knowledge consistency between neural networks and beyond
R Liang, T Li, L Li, J Wang, Q Zhang
arXiv preprint arXiv:1908.01581, 2019
382019
Spidr: Sdf-based neural point fields for illumination and deformation
R Liang, J Zhang, H Li, C Yang, Y Guan, N Vijaykumar
arXiv preprint arXiv:2210.08398, 2022
122022
Envidr: Implicit differentiable renderer with neural environment lighting
R Liang, H Chen, C Li, F Chen, S Panneer, N Vijaykumar
Proceedings of the IEEE/CVF International Conference on Computer Vision, 79-89, 2023
112023
Coordx: Accelerating implicit neural representation with a split mlp architecture
R Liang, H Sun, N Vijaykumar
arXiv preprint arXiv:2201.12425, 2022
112022
GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting
C Yang, S Li, J Fang, R Liang, L Xie, X Zhang, W Shen, Q Tian
arXiv preprint arXiv:2402.10259, 2024
12024
DISTWAR: Fast Differentiable Rendering on Raster-based Rendering Pipelines
S Durvasula, A Zhao, F Chen, R Liang, PK Sanjaya, N Vijaykumar
arXiv preprint arXiv:2401.05345, 2023
12023
DISORF: A Distributed Online NeRF Training and Rendering Framework for Mobile Robots
C Li, R Liang, H Fan, Z Zhang, S Durvasula, N Vijaykumar
arXiv preprint arXiv:2403.00228, 2024
2024
INRet: A General Framework for Accurate Retrieval of INRs for Shapes
G Guan, Y Chen, H Deng, D Kwan, R Liang, S Panneer, N Jain, ...
2023
HIWE: Scene Importance Weighted Encoding For Fast Neural Radiance Field Training
S Durvasula, S Kumar, R Liang, M Shehata, S Panneer, N Jain, ...
2023
A Simulation Platform for Multi-tenant Machine Learning Services on Thousands of GPUs
R Liang, B He, S Yan, P Sun
arXiv preprint arXiv:2201.03175, 2022
2022
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Articles 1–10