PhD Student @ SFU, Burnaby
I am currently a Ph.D. student in GRuVi Lab, SFU, advised by Prof. Andrea Tagliasacchi. I've had the pleasure of working with Prof. Kaushik Mitra from IIT Madras, on self-supervised light field synthesis. I've also had the chance to worked with Pawan Baheti from Qualcomm, India as a part of Qualcomm Innovation Fellowship, 2021-22.
My main research interest lies at the intersection of Computer vision and Computer Graphics. I am recently drawn towards the latest research works in NeRF and 3DGS, and their intersection for 3D scene representation. I am mainly interested in working towards developing generalizable 3D scene representations.
Radiant Foam: Real-Time Differentiable Ray Tracing
Shrisudhan Govindarajan*,
Daniel Rebain*,
Kwang Moo Yi,
Andrea Tagliasacchi
ICCV · 2025 · Hawaii
⭐ Highlight
@article{govindarajan2025radfoam,
author = {Govindarajan, Shrisudhan and Rebain, Daniel and Yi, Kwang Moo and Tagliasacchi, Andrea},
title = {Radiant Foam: Real-Time Differentiable Ray Tracing},
booktitle = {International Conference on Computer Vision (ICCV)},
year = {2025},
}
NoKSR: Kernel-Free Neural Surface Reconstruction via Point Cloud Serialization
Colin Li*,
Weiwei Sun*,
Shrisudhan Govindarajan,
Shaobo Xia,
Daniel Rebain,
Kwang Moo Yi,
Andrea Tagliasacchi
3DV · 2025 · Singapore
@article{li2025noksr,
author = {Zhen Li and Weiwei Sun and Shrisudhan Govindarajan and Shaobo Xia and Daniel Rebain and Kwang Moo Yi and Andrea Tagliasacchi},
title = {NoKSR: Kernel-Free Neural Surface Reconstruction via Point Cloud Serialization},
booktitle = {International Conference on 3D Vision (3DV)},
year = {2025},
}
Lagrangian Hashing for Compressed Neural Field Representations
Shrisudhan Govindarajan*,
Zeno Sambugaro*,
Ahan Shabhanov,
Towaki Takikawa,
Weiwei Sun,
Daniel Rebain,
Nicola Conci,
Kwang Moo Yi,
Andrea Tagliasacchi
ECCV · 2024 · Milan
@article{govindarajan2024laghashes,
author = {Govindarajan, Shrisudhan and Sambugaro, Zeno and Shabhanov, Ahan and Takikawa, Towaki and Sun, Weiweiand Rebain, Daniel and Conci, Nicola and Yi, Kwang Moo and Tagliasacchi, Andrea},
title = {Lagrangian Hashing for Compressed Neural Field Representations},
booktitle = {European Conference on Computer Vision (ECCV) },
year = {2024},
}
BANF: Band-limited Neural Fields for Levels of Detail Reconstruction
Ahan Shabhanov,
Shrisudhan Govindarajan,
Cody Reading,
Lily Goli,
Daniel Rebain,
Kwang Moo Yi,
Andrea Tagliasacchi
CVPR · 2024 · Seattle
@article{ahan2024banf,
author = {Shabanov, Ahan and Govindarajan, Shrisudhan and Reading, Cody and Goli, Lily and Rebain, Daniel and Moo Yi, Kwang and Tagliasacchi, Andrea},
title = {BANF: Band-limited Neural Fields for Levels of Detail Reconstruction},
booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2024},
}
Stereo-Knowledge Distillation from dpMV to Dual Pixels for Light Field Video Reconstruction
Aryan Garg,
Raghav Mallampalli,
Akshat Joshi,
Shrisudhan Govindarajan,
Kaushik Mitra
ICCP · 2024 · Lausanne
@article{garg2024dpmv,
author = {Aryan Garg and Raghav Mallampali and Akshat Joshi and Shrisudhan Govindarajan and Kaushik Mitra},
title = {Stereo-Knowledge Distillation from dpMV to Dual Pixels for Light Field Video Reconstruction},
booktitle = {International Conference on Computational Photography (ICCP)},
year = {2024},
}
Synthesizing Light Field Video from Monocular Video
Shrisudhan Govindarajan,
Prasan Shedligeri,
Sarah,
Kaushik Mitra
ECCV · 2022 · Tel Aviv
⭐ Oral (Top 2%)
@article{govindarajan2022monolf,
author = {Govindarajan, Shrisudhan and Shedligeri, Prasan and Sarah and Mitra, Kaushik},
title = {Synthesizing Light Field Video from Monocular Video},
booktitle = {European Conference on Computer Vision (ECCV) },
year = {2022},
}