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ORCIDNithin Raghavan
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2020 – today
- 2025
[c3]Nithin Raghavan, Krishna Mullia, Alexander Trevithick, Fujun Luan, Milos Hasan, Ravi Ramamoorthi:
Generative Neural Materials. SIGGRAPH (Conference Paper Track) 2025: 162:1-162:11- [c2]Mustafa B. Yaldiz, Ishit Mehta, Nithin Raghavan, Andreas Meuleman, Tzu-Mao Li, Ravi Ramamoorthi:
Spectral Prefiltering of Neural Fields. SIGGRAPH Asia 2025: 87:1-87:12 - [i4]Mustafa B. Yaldiz, Ishit Mehta, Nithin Raghavan, Andreas Meuleman, Tzu-Mao Li, Ravi Ramamoorthi:
Spectral Prefiltering of Neural Fields. CoRR abs/2510.08394 (2025) - 2023
- [j1]Nithin Raghavan, Yan Xiao, Kai-En Lin, Tiancheng Sun, Sai Bi, Zexiang Xu, Tzu-Mao Li, Ravi Ramamoorthi:
Neural Free-Viewpoint Relighting for Glossy Indirect Illumination. Comput. Graph. Forum 42(4): i-x (2023) - [i3]Nithin Raghavan, Yan Xiao, Kai-En Lin, Tiancheng Sun, Sai Bi, Zexiang Xu, Tzu-Mao Li, Ravi Ramamoorthi:
Neural Free-Viewpoint Relighting for Glossy Indirect Illumination. CoRR abs/2307.06335 (2023) - 2020
- [c1]Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, Ren Ng:
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains. NeurIPS 2020 - [i2]Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan
, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, Ren Ng:
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains. CoRR abs/2006.10739 (2020) - [i1]Nithin Raghavan, Punarjay Chakravarty, Shubham Shrivastava:
Sim2Real for Self-Supervised Monocular Depth and Segmentation. CoRR abs/2012.00238 (2020)
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