no code implementations • 6 Oct 2019 • Yucheng Zheng, M. Salman Asif
We built a prototype lensless camera and present experimental results for reconstruction of intensity and depth maps of different real objects.
1 code implementation • ICCV 2021 • Yucheng Zheng, Yi Hua, Aswin C. Sankaranarayanan, M. Salman Asif
Existing methods for lensless imaging can recover the depth and intensity of the scene, but they require solving computationally-expensive inverse problems.
1 code implementation • 25 Nov 2021 • Yucheng Zheng, M. Salman Asif
In this paper, we propose to use coded illumination to improve the quality of images reconstructed with lensless cameras.
no code implementations • 22 Dec 2022 • Yucheng Zheng, M. Salman Asif
With such baseline distance between the lensless camera and illumination source, the camera observes a slice of the 3D volume, and the PSF of each depth plane becomes more resolvable from each other.
no code implementations • 22 Mar 2024 • Qiaoqiao Jin, Xuanhong Chen, Meiguang Jin, Ying Chen, Rui Shi, Yucheng Zheng, Yupeng Zhu, Bingbing Ni
The core idea of DAL lies in employing a Diffusion-based Data Amplifier (DDA) to "amplify" limited images for the model training, thereby enabling accurate pixel-to-pixel supervision with merely a handful of annotations.