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Found 5 papers, 2 papers with code
Joint Image and Depth Estimation with Mask-Based Lensless Cameras
We built a prototype lensless camera and present experimental results for reconstruction of intensity and depth maps of different real objects.
A Simple Framework for 3D Lensless Imaging with Programmable Masks
Existing methods for lensless imaging can recover the depth and intensity of the scene, but they require solving computationally-expensive inverse problems.
Coded Illumination for Improved Lensless Imaging
In this paper, we propose to use coded illumination to improve the quality of images reconstructed with lensless cameras.
Coded Illumination for 3D Lensless Imaging
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.
Toward Tiny and High-quality Facial Makeup with Data Amplify Learning
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.
