This paper presents a patch-based synthesis framework for lightfield image editing. The core of the proposed method builds upon a patch-based optimization ...
This paper presents a patch-based synthesis framework for lightfield image editing. The core of the proposed method builds upon a patch-based optimization ...
The paper introduces a novel 4D lightfield patch consistency measure for avoiding synthesis of inconsistent patches into the edited lightfield images.
In the LF, the single image inpainting has been used to solve the LF completion which aims to fill the entire LF views with consistent information.
We use two sequential convolutional neural networks to model these two components and train both networks simultaneously by mini- mizing the error between the ...
Learning to Synthesize a 4D RGBD Light Field from a Single Image. Pratul P. Srinivasan, Tongzhou Wang, Ashwin Sreelal, Ravi Ramamoorthi, Ren Ng.
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We propose an algorithm for view synthesis from an irregular grid of sampled views that first expands each sampled view into a local light field via a ...
Feb 13, 2023 · In this paper, we propose a light field synthesis algorithm that uses the focal stack images and the all-in-focus image to synthesize a 9 × 9 sub-aperture view ...
Abstract—Building up on the advances in low rank matrix completion, this article presents a novel method for propagating the inpainting of the central view ...
In this paper, 4D LF data are denoted as L(x, y, s, t) decoded from the LF raw image as depicted in Fig. 1. Each light ray is illustrated by the interactions ...