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Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T. Freeman, Fredo Durand, Joshua B. Tenenbaum, Vincent Sitzmann [Paper] [Project Page] What You Can Learn by Staring at a Blank Wall
- Materialistic
Prafull Sharma 1,2, Julien Philip 2, Michaël Gharbi 2,...
- Neural Groundplans
Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov,...
- Materialistic
Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand [Paper] [Project Page] Self-supervised Speckle Reduction GAN for Synthetic Aperture Radar
4 days ago · Sharma’s latest project comes a year after he led research on Materialistic, a machine-learning method that can identify similar materials in an image. This previous work demonstrated how AI models can refine their material understanding skills, and like Alchemist, was fine-tuned on a synthetic dataset of 3D models from Blender.
Apr 15, 2024 · A uthor Prafull Sharma’s roadmap will lead to successful chapters describing the larger blueprint. These four stages each have a content marketing status in this progression from 1 to 4: scarce ...
Prafull Sharma. PhD Student, MIT. Verified email at mit.edu - Homepage. Computer Vision Computer Graphics Machine Learning. ... P Sharma, J Philip, M Gharbi, B ...
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 ...
Liked by Prafull Sharma. I'm a young IT professional who has a keen interest in Analytics, Machine Learning and…. · Experience: Optum · Education: M.B.M. Engineering College, Jodhpur · Location: Noida · 500+ connections on LinkedIn. View Prafull Sharma’s profile on LinkedIn, a professional community of 1 billion members.
- Optum
