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Prafull Sharma. Bio. I am a PhD student advised by Prof. William T. Freeman and Prof. Frédo Durand at the MIT Computer Science & Artificial Intelligence Laboratory. My research is focused on scene understanding based on the physical properties of objects using visual media.
- Alchemist: Parametric Control of Material Properties with ...
We propose a method to control material attributes of...
- Neural Groundplans: Persistent Neural Scene ... - Prafull Sharma
Motivated by the bird’s-eye-view (BEV) representation...
- Alchemist: Parametric Control of Material Properties with ...
Prafull Sharma. PhD Student @ CSAIL, MIT. Research Interests: Computer Vision, Graphics, Machine Learning. Contact: prafull (at) mit (dot) edu.
Articles 1–11. PhD Student, MIT - Cited by 237 - Computer Vision - Computer Graphics - Machine Learning.
May 28, 2024 · “When you look at an image you’ve created, often the result is not exactly what you have in mind,” says Prafull Sharma, MIT PhD student in electrical engineering and computer science, CSAIL affiliate, and lead author on a new paper describing the work.
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 ...
Motivated by the bird’s-eye-view (BEV) representation commonly used in vision and robotics, we propose conditional neural groundplans, ground-aligned 2D feature grids, as persistent and memory-efficient scene representations.
Jun 21, 2024 · Prafull Sharma. Postdoctoral Associate. Email. prafull@mit.edu. Last updated Jun 21 '24. MIT CSAIL. Massachusetts Institute of Technology. Computer Science & Artificial Intelligence Laboratory. 32 Vassar St, Cambridge MA 02139.
