I’m a Final Year Computer Science PhD at University College London advised by Prof. Niloy J Mitra, as part of the Smart Geometry Group. Before that, I worked as a Research Engineer at Adobe Research’s Creative Intelligence Lab, where my research was advised by Siddhartha Chaudhuri, Vladimir Kim, Matthew Fisher and Noam Aigerman. I completed my Master’s in Computer Science at IIT Bombay, advised by Prof. Siddhartha Chaudhuri, and covered by Qualcomm Innovation Fellowship.
I plan on submitting my thesis in the coming months and am actively looking for long-term GenAI research roles. Feel free to contact me for any research opportunities!
Research
The goal of my research is to augment human creativity with machine intelligence, enabling not just smarter but novel designs for 3D objects. As such, my research lies at the intersection of machine learning,computer graphics and computer vision. My current focus is on neural generation and rendering of 3D geometry, and learning semantic representations for the same.
Publications
- Temporal Residual Jacobians for Rig-free Motion Transfer
ECCV 2024Sanjeev Muralikrishnan, Niladri Shekhar Dutt, Siddhartha Chaudhuri, Noam Aigerman, Vladimir Kim, Matthew Fisher, Niloy J. Mitra. Code | Paper | Project Page - Diffusion 3D Features (Diff3F)
CVPR 2024 - BLiSS: Bootstrapped Linear Shape Space
3DV 2024Sanjeev Muralikrishnan, Chun-Hao Paul Huang, Duygu Ceylan, Niloy J. Mitra. Code | Paper | Project Page - GLASS: Geometric Latent Augmentation
for Shape Spaces
CVPR 2022Sanjeev Muralikrishnan, Siddhartha Chaudhuri, Noam Aigerman, Vladimir Kim, Matthew Fisher, Niloy J. Mitra. Code | Paper | Project Page - Shape Unicode: A Unified Shape Representation
CVPR 2019Sanjeev Muralikrishnan, Vladimir Kim, Matthew Fisher, Siddhartha Chaudhuri. Paper - Tags2Parts: Discovering Semanting Regions From Shape Tags
CVPR 2018