Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Sharma, Prafull"'
Autor:
Sharma, Prafull
With the recent advancements in computer vision, scene understanding is critical for both downstream applications and photorealistic synthesis. Tasks such as image classification, semantic segmentation, and text-to-image generation parse the scene in
Externí odkaz:
https://hdl.handle.net/1721.1/156549
We propose ZeST, a method for zero-shot material transfer to an object in the input image given a material exemplar image. ZeST leverages existing diffusion adapters to extract implicit material representation from the exemplar image. This representa
Externí odkaz:
http://arxiv.org/abs/2404.06425
Autor:
Sharma, Prafull, Jampani, Varun, Li, Yuanzhen, Jia, Xuhui, Lagun, Dmitry, Durand, Fredo, Freeman, William T., Matthews, Mark
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 a
Externí odkaz:
http://arxiv.org/abs/2312.02970
Autor:
Sharma, Prafull, Philip, Julien, Gharbi, Michaël, Freeman, William T., Durand, Fredo, Deschaintre, Valentin
Separating an image into meaningful underlying components is a crucial first step for both editing and understanding images. We present a method capable of selecting the regions of a photograph exhibiting the same material as an artist-chosen area. O
Externí odkaz:
http://arxiv.org/abs/2305.13291
This paper explores the use of multi-conditional adversarial networks for SAR-to-EO image translation. Previous methods condition adversarial networks only on the input SAR. We show that incorporating multiple complementary modalities such as Google
Externí odkaz:
http://arxiv.org/abs/2207.13184
Autor:
Sharma, Prafull, Tewari, Ayush, Du, Yilun, Zakharov, Sergey, Ambrus, Rares, Gaidon, Adrien, Freeman, William T., Durand, Fredo, Tenenbaum, Joshua B., Sitzmann, Vincent
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. Motivated by the bird's-eye-view
Externí odkaz:
http://arxiv.org/abs/2207.11232
Autor:
Sharma, Prafull, Aittala, Miika, Schechner, Yoav Y., Torralba, Antonio, Wornell, Gregory W., Freeman, William T., Durand, Fredo
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. Our technique analyzes complex imperceptible changes in indirect illumination in a video o
Externí odkaz:
http://arxiv.org/abs/2108.13027
Autor:
Aittala, Miika, Sharma, Prafull, Murmann, Lukas, Yedidia, Adam B., Wornell, Gregory W., Freeman, William T., Durand, Fredo
Publikováno v:
Aittala, Miika, et al. "Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization." Advances in Neural Information Processing Systems. 2019
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. We solve this problem by factoring the observed video into a matrix product between the unknown hid
Externí odkaz:
http://arxiv.org/abs/1912.02314
Autor:
Datta, Rajat, Bharadwaj, Prashant, Aggarwal, Naveen, Keshavamurthy, G., Sharma, Prafull, Bajaj, Nitin, Bohra, Vijay, Guleria, V.S., Singh, Balbir
Publikováno v:
In Medical Journal Armed Forces India October 2022 78(4):387-393
Autor:
Vidya, P.L., Ananthakrishnan, R., Mukherjee, Reema, Sharma, Prafull, Joshi, Sudhir, Mohanty, Soumitra
Publikováno v:
In Medical Journal Armed Forces India October 2022 78(4):437-442