Jun 25, 2024 · Using Implicit-Zoo, we showcase two immediate benefits as it enables to: (1) learn token locations for transformer models; (2) directly regress 3D cameras poses of 2D images …

Inspired by the recent progress in 3D reconstruc-tion with implicit neural representation, we propose Local Implicit Image Function (LIIF), which takes an image co-ordinate and the 2D …

Jul 1, 1991 · We describe a method of generalizing implicit functions by use of modal deformations and displacement maps. Modal deformations, also known as free vibration …

Nov 7, 2024 · We describe a method to convert 3D shapes into neural implicit form such that the shape is approximated in a guaranteed conservative manner. This means the input shape is …

Dec 16, 2020 · Inspired by the recent progress in 3D reconstruction with implicit neural representation, we propose Local Implicit Image Function (LIIF), which takes an image …

In this paper, we pro-pose NeAT, a new neural rendering framework that can learn implicit surfaces with arbitrary topologies from multi-view images. In particular, NeAT represents the …

Jun 26, 2022 · To put it simply-but-not-accurately, this post aims to distill the progress of the following deep learning-based solutions to computer graphics tasks: 2017–2019 – How to …

Jul 21, 2024 · Implicit representations allow to use a parametric function that maps (spatial) coordinates to the value that is traditionally stored in each pixel, e.g. RGB values, instead of a …

Welcome to this guide on Neural Implicit Representations (NIR), an advanced approach to 3D reconstruction and graphics. Explore concepts like implicit functions, occupancy networks, …

Aug 12, 2020 · To tackle this problem, we propose the DFR, a differentiable process for rendering implicit function representation of 3D objects into 2D images. Briefly, our method is to simulate …