I am a second year Ph.D candidate at CVIT, IIIT Hyderabad, supervised by Dr. P. J. Narayanan (Funded by the KCIS fellowship).
Previously, I completed my MS by research at IIIT Hyderabad, which is also where I completed my BTech in Computer Science Engineering.
My research involves playing around with the light transport equation for real-time performance, differentiable rendering and neural rendering (in other words, I work on Computer Vision/Computer Graphics and Machine Learning/Deep Learning.).
Welcome to my page!
|May 5, 2022||We received the best paper award at I3D for our paper “Bringing Linearly Transformed Cosines to Anisotropic GGX”! NVIDIA was generous to gift us a RTX 3090 for this. Thank you!|
|Mar 29, 2022||I will be joining Meta Reality Labs, Pittsburgh (formerly Facebook Reality Labs) as a Research Scientist Intern in June. I will be working in Yaser Sheikh’s team, with Giljoo Nam. Looking forward to some exciting work on Photorealistic Telepresence!|
|Mar 10, 2022||Our paper “Bringing Linearly Transformed Cosines to Anisotropic GGX” has been accepted to I3D 2022! This work was in collaboration with Eric Heitz and Jonathan Dupuy from Unity Research Grenoble.|
|Mar 4, 2022||Our work “Precomputed Radiance Transfer Using Transfer Textures” has been accepted as a poster to EG 2022.|
|Jun 5, 2021||Our paper “Fast Analytic Soft Shadows from Area Lights” has been accepted to EGSR 2021!|
|Aug 1, 2020||I have joined as a Ph.D student at CVIT, IIIT Hyderabad, supervised by Dr. P. J. Narayanan. My Ph.D is funded by the KCIS fellowship. Curious as to why I decided to do this? See here.|
|Feb 1, 2020||I was to join the GraphDeco research group @ Inria (Sophia Antipolis, France), as a pre-doctoral candidate from September 2020, supervised by Dr. George Drettakis and Dr. Adrien Bousseau. This was unfortunately rescinded due to COVID.|
Bringing Linearly Transformed Cosines to Anisotropic GGXACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D) 2022, PACM-CGIT, Best Paper Award
We present an extension to LTCs for anisotropic GGX, in the context of real-time analytic area light shading. Our approach robustly fits LTC matrices to anisotropic GGX and ensures artefact free rendering. The end result is a 84 LUT parameterized by the elevation and azimuth of view vector and the roughness in x and y directions.
Fast Analytic Soft Shadows from Area LightsEurographics Symposium on Rendering (EGSR) 2021, DL-only track
We present an analytical solution for soft shadows from area lights, which naturally produces noise-free renderings as compared to equivalent stochastic methods. A structured approach to analytically compute soft shadows from spherical projections of lights and occluders with any 3D shape and efficiently for convex 3D shapes.
A Flexible Neural Renderer for Material VisualizationACM SIGGRAPH Asia 2019, Technical Briefs
Photo realism in computer generated imagery is crucially dependent on how well an artist is able to recreate real-world materials in the scene. We propose a convolutional neural network based workflow which generates high-quality ray traced material visualizations on a shaderball, in real-time.