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  1. Prafull Sharma. PhD Student @ CSAIL, MIT. Research Interests: Computer Vision, Graphics, Machine Learning. Contact: prafull (at) mit (dot) edu. Bio. I am a PhD student advised by Prof. William T. Freeman and Prof. Frédo Durand at the MIT Computer Science & Artificial Intelligence Laboratory.

  2. Prafull Sharma. PhD Student @ CSAIL, MIT. Research Interests: Computer Vision, Graphics, Machine Learning. Contact: prafull (at) mit (dot) edu. Bio. I am a PhD student advised by Prof. William T. Freeman and Prof. Frédo Durand at the MIT Computer Science & Artificial Intelligence Laboratory.

  3. Jul 22, 2022 · View a PDF of the paper titled Neural Groundplans: Persistent Neural Scene Representations from a Single Image, by Prafull Sharma and 9 other authors View PDF Abstract: We present a method to map 2D image observations of a scene to a persistent 3D scene representation, enabling novel view synthesis and disentangled representation of the movable ...

  4. We present a method to map 2D image observations of a scene to a persistent 3D scene representation, enabling novel view synthesis and disentangled representation of the movable and immovable components of the scene.

  5. Aug 30, 2021 · Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Fredo Durand. We present a passive non-line-of-sight method that infers the number of people or activity of a person from the observation of a blank wall in an unknown room.

  6. We propose a method to control material attributes of objects like roughness, metallic, albedo, and transparency in real images. Our method capitalizes on the generative prior of text-to-image models known for photorealism, employing a scalar value and instructions to alter low-level material properties. Addressing the lack of datasets with ...

  7. Promoting openness in scientific communication and the peer-review process