About Me

Sc.M. @ Brown University
Visual Computing & AI

amanag@brown.edu
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A CS Grad student at Brown studying Computer Vision and Computer Graphics. My primary research interests are Computer Vision and Graphics, particulary in the emerging field of Inverse rendering via Neural Fields such as NeRFs and Gaussian Splatting.

Updates :

Begun my Masters at Brown University, USA [2024-Present]
Completed Undergrad at SRM University, India [2020-2024]

Experience

2024

Research Intern : Augmented Gaussian Splatting & NeRFs

Conducted ablation studies FSGS - Real-Time Few-Shot View Synthesis using Gaussian Splatting to calculate the efficiency of priors used in the paper and researched on effects of augemented networks in NeRFs & Gaussian Splatting

2023

Research Intern : Integrated NeRF-Capture into Zip-NeRF

Integrated NeRFCapture, an app that use Apple's ARKit to computer poses of photos simultaneously as they captured, into the (unofficial) Zip-NeRF pipeline to study accuracy of pre-computed poses over COLMAP and attempting to reduce entire pre-processing time to over 50%.

Projects

Neural Fields with encoding: A comparision of different encoding methods for 2D inputs

Loving Vincet: Convert your videos into moving paintings of your choice

Ray Tracer on MLX: Implementing an entire Ray Tracer built from scratch in NumPy and modifying it to run on MLX,a NumPy-like array framework designed for efficient and flexible machine learning on Apple silicon. [Ongoing]

Rescue Shark: Built a SOS application for Truck Drivers - Won a MLH Hackathon for "Most Creative Use of Twilio"

Template Credits : Matias Turkulainen