Rahul Goel

I am a PhD student at CSAIL, MIT working with Prof. Jonathan Ragan-Kelley and Prof. Frédo Durand. My research interests revolve around making things efficient and performant in machine learning and visual computing.

I enjoy reading books, playing table tennis, running, coooking and ice skating.

Publications

* denotes equal contribution.

Locality-Aware Automatic Differentiation on the GPU for Mesh-Based Computations

Ahmed H. Mahmoud, Rahul Goel, Jonathan Ragan-Kelley, Justin Solomon

SIGGRAPH 2026

arxiv | code

Adaptive Continuous Kernel Networks for Image Reconstruction from Non-Uniform Sampling

Camille Biscarrat, Michaël Gharbi, Rahul Goel, Jonathan Ragan-Kelley, Frédo Durand, Tzu-Mao Li

CVPR Findings 2026

web

Taming 3DGS: High-Quality Radiance Fields with Limited Resources

Rahul Goel*, Saswat S. Mallick*, Bernhard Kerbl, Francisco V. Carrasco, Markus Steinberger, Fernando de la Torre

SIGGRAPH Asia 2024

web | arxiv | code | video

Real-Time Decompression and Rasterization of Massive Point Clouds

Rahul Goel, Markus Schütz, P J Narayanan, Bernhard Kerbl

HPG 2024 // PACMCGIT

web | code | video

GSN: Generalisable Segmentation in Neural Radiance Fields

Vinayak Gupta, Rahul Goel, Dhawal Sirikonda, P J Narayanan

AAAI 2024

web | arxiv | code

FusedRF: Fusing Multiple Radiance Fields

Rahul Goel, Dhawal Sirikonda, Rajvi Shah, P J Narayanan

CVPR Workshop (XR-NeRF) 2023

arxiv

Interactive Segmentation of Radiance Fields

Rahul Goel*, Dhawal Sirikonda*, Saurabh Saini, P J Narayanan

CVPR 2023

web | arxiv | code | video

StyleTRF: Stylizing Tensorial Radiance Fields

Rahul Goel*, Dhawal Sirikonda*, Saurabh Saini, P J Narayanan

ICVGIP 2022

web | arxiv | video

Reviewing

I have reviewed papers for SIGGRAPH, SIGGRAPH Asia, TVCG, Eurographics, CVPR, ICCV, NeurIPS, and AAAI. For CVPR 2025, I was one of the many outstanding reviewers.