no code implementations • 17 Apr 2024 • Manasi Muglikar, Siddharth Somasundaram, Akshat Dave, Edoardo Charbon, Ramesh Raskar, Davide Scaramuzza
Traditional cameras face a trade-off between low-light performance and high-speed imaging: longer exposure times to capture sufficient light results in motion blur, whereas shorter exposures result in Poisson-corrupted noisy images.
no code implementations • 19 Mar 2024 • Zaid Tasneem, Akshat Dave, Abhishek Singh, Kushagra Tiwary, Praneeth Vepakomma, Ashok Veeraraghavan, Ramesh Raskar
It learns photorealistic scene representations by decomposing users' 3D views into personal and global NeRFs and a novel optimally weighted aggregation of only the latter.
no code implementations • 24 Dec 2023 • Nikhil Behari, Akshat Dave, Kushagra Tiwary, William Yang, Ramesh Raskar
3D modeling from satellite imagery is essential in areas of environmental science, urban planning, agriculture, and disaster response.
no code implementations • CVPR 2023 • Siddharth Somasundaram, Akshat Dave, Connor Henley, Ashok Veeraraghavan, Ramesh Raskar
Specifically, we study how ToF information can reduce the number of measurements and spatial resolution needed for shape reconstruction.
no code implementations • CVPR 2023 • Kushagra Tiwary, Akshat Dave, Nikhil Behari, Tzofi Klinghoffer, Ashok Veeraraghavan, Ramesh Raskar
By converting these objects into cameras, we can unlock exciting applications, including imaging beyond the camera's field-of-view and from seemingly impossible vantage points, e. g. from reflections on the human eye.
1 code implementation • 8 Dec 2022 • Kushagra Tiwary, Akshat Dave, Nikhil Behari, Tzofi Klinghoffer, Ashok Veeraraghavan, Ramesh Raskar
By converting these objects into cameras, we can unlock exciting applications, including imaging beyond the camera's field-of-view and from seemingly impossible vantage points, e. g. from reflections on the human eye.
no code implementations • 25 Mar 2022 • Akshat Dave, Yongyi Zhao, Ashok Veeraraghavan
Reconstructing an object's geometry and appearance from multiple images, also known as inverse rendering, is a fundamental problem in computer graphics and vision.
1 code implementation • 18 Aug 2021 • Vishwanath Saragadam, Akshat Dave, Ashok Veeraraghavan, Richard Baraniuk
We introduce DeepIR, a new thermal image processing framework that combines physically accurate sensor modeling with deep network-based image representation.
1 code implementation • 27 Feb 2018 • Akshat Dave, Anil Kumar Vadathya, Ramana Subramanyam, Rahul Baburajan, Kaushik Mitra
On the other hand, a more flexible approach would be to learn a deep generative model once and then use it as a signal prior for solving various inverse problems.
no code implementations • 13 Dec 2016 • Akshat Dave, Anil Kumar Vadathya, Kaushik Mitra
Reconstruction of signals from compressively sensed measurements is an ill-posed problem.