Motion magnification helps us visualize subtle, imperceptible motion. However, prior
methods only work for 2D videos captured with a fixed camera. We present a 3D motion …

The integration of Blockchain and Artificial Intelligence (AI) presents a transformative
opportunity to enhance cybersecurity frameworks within digital business infrastructures. As …

This paper presents a novel approach for reconstructing 3D scenes using primary ray-based
implicit functions combined with ray-surface distance fields. Traditional methods of 3D scene …

Abstract Fourier Ptychographic Microscopy (FPM) is a powerful imaging technique that
combines widefield microscopy with computational algorithms to achieve high-resolution …

Recent advancements in neural rendering have significantly improved the quality and
realism of synthesized images from 3D scene representations. This paper introduces a …

Fast inverse rendering is a critical challenge in computer graphics, aiming to efficiently
reconstruct 3D scenes from 2D images while preserving high fidelity and visual realism. This …

Abstract Implicit Neural Representations (INRs) have emerged as a powerful tool for
modeling complex, high-dimensional data in a variety of fields. In Fourier Ptychographic …

Abstract Neural Radiance Fields (NeRF) have revolutionized the field of 3D scene
representation by enabling the synthesis of photorealistic images from a sparse set of input …

In the realm of computer graphics, multi-view consistent neural rendering is a critical
technique for creating photorealistic 3D scenes from a collection of 2D images. This paper …

Abstract Directional Distance Functions (DDFs) have emerged as a powerful tool in the
realm of neural rendering, offering an innovative approach to accurately model the complex …