Shrisha Bharadwaj

Ph.D. at Max-Planck Institute for Intelligent Systems, Germany

prof_pic.jpg

I am advised by Michael J. Black and Victoria Fernández Abrevaya. My research interest lies in the intersection of computer vision and computer graphics, particularly, in relighting. I have worked on inverse rendering and 3D reconstruction in the past. In constrast, I am currently exploring if relighting can be achieved through neural rendering without explicitly modeling the geometry, material and lighting.

I completed my masters in Machine Learning at the University of Tübingen. For my masters thesis, I worked on improving 3D reconstruction by exploring the benefits of depth information for radiance fields at Autonomous Vision Group.

news

Dec 4, 2024 FLARE: Preprocessed data and model weights released for 9 subjects HERE!!
Sep 1, 2024 I started my Ph.D. at Max-Planck Institute for Intelligent Systems!
Aug 1, 2024 Check out our paper SPARK that is accepted in SIGGRAPH Asia 2024.
Oct 1, 2023 Our paper FLARE got accepted at SIGGRAPH Asia ‘23!
Sep 1, 2022 I started my internship at Perceiving Systems.

selected publications

  1. genlit_thumbnail.gif
    GenLit: Reformulating Single Image Relighting as Video Generation
    Shrisha Bharadwaj, Haiwen Feng, Giorgio Becherini, Victoria Fernandez Abrevaya, and Michael J. Black
    arXiv preprint arxiv:2412.11224, 2025
  2. spark_thumbnail.gif
    SPARK: Self-supervised Personalized Real-time Monocular Face Capture
    Kelian Baert, Shrisha Bharadwaj, Fabien Castan, Benoit Maujean, Marc Christie, Victoria Abrevaya, and Adnane Boukhayma
    In SIGGRAPH Asia 2024 Conference Proceedings, Dec 2024
  3. thumbnail_crop.gif
    FLARE: Fast learning of Animatable and Relightable Mesh Avatars
    Shrisha Bharadwaj, Yufeng Zheng, Otmar Hilliges, Michael J. Black, and Victoria Fernandez Abrevaya
    ACM Transactions on Graphics, Dec 2023