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.

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

  1. Diffusion 3D Features (Diff3F)
    CVPR 2024
    Niladri Shekhar Dutt, Sanjeev Muralikrishnan, Niloy J. Mitra. Paper
  2. BLiSS: Bootstrapped Linear Shape Space
    3DV 2024
    Sanjeev Muralikrishnan, Chun-Hao Paul Huang, Duygu Ceylan, Niloy J. Mitra. Paper
  3. GLASS: Geometric Latent Augmentation
    for Shape Spaces
    CVPR 2022
    Sanjeev Muralikrishnan, Siddhartha Chaudhuri, Noam Aigerman, Vladimir Kim, Matthew Fisher, Niloy J. Mitra. Paper
  4. Shape Unicode: A Unified Shape Representation
    CVPR 2019
    Sanjeev Muralikrishnan, Vladimir Kim, Matthew Fisher, Siddhartha Chaudhuri. Paper
  5. Tags2Parts: Discovering Semanting Regions From Shape Tags
    CVPR 2018
    Sanjeev Muralikrishnan, Vladimir Kim, Siddhartha Chaudhuri. Paper | Project Page