Rahul Goel

“It is our choices that show what we truly are, far more than our abilities.”


I am an incoming PhD student at CSAIL, MIT. My research interests revolve around making things efficient and performant in machine learning and visual computing. Before this I've been priviliged to closely work with Prof. PJ Narayanan, Dr. Bernhard Kerbl, and Prof. Markus Steinberger.

Publications

* denotes equal contribution.
Taming 3DGS: High-Quality Radiance Fields with Limited Resources
SIGGRAPH Asia 2024
Rahul Goel*, Saswat S. Mallick*, Bernhard Kerbl, Francisco V. Carrasco, Markus Steinberger, Fernando de la Torre
Real-Time Decompression and Rasterization of Massive Point Clouds
HPG 2024 // PACMCGIT
GSN: Generalisable Segmentation in Neural Radiance Fields
AAAI 2024
FusedRF: Fusing Multiple Radiance Fields
CVPR Workshop (XR-NeRF) 2023
Interactive Segmentation of Radiance Fields
CVPR 2023
StyleTRF: Stylizing Tensorial Radiance Fields
ICVGIP 2022