Novel View Synthesis Using NeRF

Neural Radiance Fields

Using Fourier Feature Embedding within Neural Radiance Fields on Procedural Noise Functions tasks with focus on Perlin Noise.

Perform Differentiable Volume Rendering: Ray sampling from cameras, Point sampling along rays. Optimizing a basic implicit volume, Optimizing a Neural Radiance Field.

A simple 2D toy example to play around with NeRFs, implemented in pytorch-lightning. Repository can be used as a template to speed up further research on nerfs.

An implementation of Neural Radiance Fields for Novel Views (https://arxiv.org/pdf/2003.08934.pdf)

Playing Around with NeRF Models and 2D Images

FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models, ICCV 2023

This repository contains the code to my bachelors project. An analysis of NeRF literature with a focus on training speed, followed by experimentation to make quick convergence models more robust.

Implementation of NeRF paper

Custom integration of Neural Radiance Fields (NeRF) and Visual Simultaneous Localization and Mapping (VSLAM) based in NerfStudio.

Utility for converting Nvidia Instant-NGP snapshots to JSON format.

A curated list of awesome Neural Radiance Fields (NeRF) papers

Trying Various Algorithms related to 3d-reconstruction

Code implementation for NeRF and DietNeRF papers. NeRF presents a method for synthesizing novel views of complex 3D scenes by optimizing an underlying continuous volumetric scene function using a sparse set of input views.

A concise PyTorch re-implementation of NeRF paper

Reconstruction of a 3d scene from a set of images with different view points (camera in motion)

✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an IMAGINATION (A1) PROXIA when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).

Neural Radiance Fields