1 code implementation • NeurIPS 2019 • Miika Aittala, Prafull Sharma, Lukas Murmann, Adam B. Yedidia, Gregory W. Wornell, William T. Freeman, Fredo Durand
We recover a video of the motion taking place in a hidden scene by observing changes in indirect illumination in a nearby uncalibrated visible region.
no code implementations • CVPR 2018 • Aleksandar Zlateski, Ronnachai Jaroensri, Prafull Sharma, Frédo Durand
We investigate the relationship between the quality of labels and the performance of ConvNets for semantic segmentation.
no code implementations • ICCV 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.
no code implementations • 22 Jul 2022 • Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T. Freeman, Fredo Durand, Joshua B. Tenenbaum, Vincent Sitzmann
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.
no code implementations • 26 Jul 2022 • Armando Cabrera, Miriam Cha, Prafull Sharma, Michael Newey
This paper explores the use of multi-conditional adversarial networks for SAR-to-EO image translation.
no code implementations • 22 May 2023 • Prafull Sharma, Julien Philip, Michaël Gharbi, William T. Freeman, Fredo Durand, Valentin Deschaintre
We present a method capable of selecting the regions of a photograph exhibiting the same material as an artist-chosen area.
no code implementations • 5 Dec 2023 • Prafull Sharma, Varun Jampani, Yuanzhen Li, Xuhui Jia, Dmitry Lagun, Fredo Durand, William T. Freeman, Mark Matthews
We propose a method to control material attributes of objects like roughness, metallic, albedo, and transparency in real images.