Yahoo India Web Search

Search results

  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. Show more. ‪PhD Student, MIT‬ - ‪‪Cited by 217‬‬ - ‪Computer Vision‬ - ‪Computer Graphics‬ - ‪Machine Learning‬.

  4. 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 ...

  5. View Prafull Sharmas profile on LinkedIn, a professional community of 1 billion members. Absolute Studios · Producer · Experience: Absolute Studios · Education: infinity business school ·...

    • 491
    • Absolute Studios
    • infinity business school
  6. 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.

  7. 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.