# nerfies/nerfies.github.io

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3,966 stars · 1,751 forks · JavaScript

## Links

- GitHub: https://github.com/nerfies/nerfies.github.io
- awesome-repositories: https://awesome-repositories.com/repository/nerfies-nerfies-github-io.md

## Description

This project is a computer vision pipeline and volumetric rendering system used to transform photos and videos into high-fidelity 3D models. It implements a deformable neural radiance field framework that optimizes deformation fields to represent non-rigid moving subjects in three dimensions.

The system utilizes volumetric deformation fields to map 3D coordinates from a static canonical space to a deformed state. This allows for the reconstruction of photorealistic scenes and the synthesis of high-fidelity images from camera perspectives not present in the original input data.

The framework employs coordinate-based neural networks and a volumetric rendering pipeline to represent scenes as continuous functions of density and color. Model accuracy is maintained through coarse-to-fine optimization and elastic regularization to ensure smooth and physically plausible movements.

## Tags

### Part of an Awesome List

- [Neural Radiance Field Implementations](https://awesome-repositories.com/f/awesome-lists/ai/neural-radiance-field-implementations.md) — Implements a neural radiance field framework to represent scenes as continuous volumetric functions of density and color.
- [Deformable Scenes](https://awesome-repositories.com/f/awesome-lists/ai/deformable-scenes.md) — Implements a framework for reconstructing and rendering photorealistic 3D models of non-rigid, deforming objects. ([source](https://nerfies.github.io/))
- [Coordinate-Based](https://awesome-repositories.com/f/awesome-lists/ai/model-optimization/coordinate-based.md) — Refines volumetric deformations using coarse-to-fine optimization and elastic regularization for robust 3D model accuracy. ([source](https://nerfies.github.io))

### Artificial Intelligence & ML

- [Coordinate-Based Neural Representations](https://awesome-repositories.com/f/artificial-intelligence-ml/coordinate-based-neural-representations.md) — Encodes spatial information as continuous functions to achieve high-resolution 3D scene representations.
- [Novel View Synthesis Engines](https://awesome-repositories.com/f/artificial-intelligence-ml/image-synthesis-optimizers/novel-view-synthesis-engines.md) — Generates high-fidelity images from camera perspectives not present in the original input data using volumetric calculations. ([source](https://nerfies.github.io/))
- [Coarse-to-Fine Optimization](https://awesome-repositories.com/f/artificial-intelligence-ml/coarse-to-fine-optimization.md) — Iteratively increases coordinate model resolution during training to ensure high-fidelity 3D reconstruction.
- [Elastic Regularization](https://awesome-repositories.com/f/artificial-intelligence-ml/regularization-techniques/elastic-regularization.md) — Constrains deformation fields to ensure the reconstructed object's movements remain smooth and physically realistic.

### Graphics & Multimedia

- [Volumetric Rendering Engines](https://awesome-repositories.com/f/graphics-multimedia/graphics-engines-rendering/scene-management-systems/3d-rendering-engines/volumetric-rendering-engines.md) — Employs a volumetric rendering pipeline that samples along rays through a 3D volume to generate new viewpoints.
- [Dynamic Radiance Fields](https://awesome-repositories.com/f/graphics-multimedia/radiance-field-engines/dynamic-radiance-fields.md) — Utilizes volumetric deformation fields to model subjects that change shape while maintaining visual consistency.
- [Volumetric Deformation Fields](https://awesome-repositories.com/f/graphics-multimedia/volumetric-deformation-fields.md) — Uses neural networks to map coordinates from a canonical space to a deformed state for modeling non-rigid motion.
- [Canonical Space Mappings](https://awesome-repositories.com/f/graphics-multimedia/canonical-space-mappings.md) — Maps 3D coordinates from a static reference pose to deformed states to represent motion over time.
- [3D Reconstruction Pipelines](https://awesome-repositories.com/f/graphics-multimedia/media-production-suites/animation-tools/mathematical-visualization-engines/3d-surface-visualizations/3d-reconstruction-pipelines.md) — Provides a pipeline that transforms photos and videos into high-fidelity 3D models.