bmild/nerf
Nerf
This project is a framework for neural radiance fields used to synthesize three-dimensional environments from sets of two-dimensional images and camera poses. It functions as a volumetric rendering engine and scene synthesizer that optimizes neural representations of spatial volumes to generate novel views of complex 3D scenes.
The system implements a coordinate encoding system that transforms spatial coordinates into high-dimensional space to capture high-frequency geometric details. It also includes a neural mesh extractor that converts trained radiance fields into triangle meshes via marching cubes for use in 3D software.
The project covers a broad range of capabilities, including differentiable volumetric rendering, camera pose estimation, and the import of scene datasets and pre-trained model weights. It handles the full pipeline from camera-to-world ray projection and volumetric ray marching to the final extraction of polygonal geometry.
Features
- Radiance Field Training Pipelines - Provides a complete framework for optimizing neural networks to create high-fidelity 3D scene representations from 2D images.
- Novel View Synthesis Engines - Generates high-quality images of a trained 3D scene from camera perspectives not present in the original training set.
- Neural Radiance Field Synthesizers - Optimizes neural representations of spatial volumes from images and camera poses to synthesize 3D environments.
- Neural Scene Optimizers - Optimizes a neural network to synthesize a 3D scene using a set of 2D images and camera poses.
- Spatial Coordinate Encodings - Transforms spatial coordinates into high-dimensional vectors using sine and cosine functions to capture high-frequency geometric details.
- Neural Rendering - Optimizes neural network weights by comparing rendered ray samples against ground-truth pixels using a differentiable rendering pipeline.
- Photorealistic Scene Synthesis - Creates high-fidelity digital 3D representations of real-world environments using sets of 2D images.
- Adaptive Ray Marchers - Estimates pixel colors and opacity by sampling points along rays using learned spatial structures.
- Volumetric Rendering Engines - Implements a volumetric rendering engine that estimates color and density along camera rays to generate photorealistic images.
- High-Frequency Coordinate Mappers - Transforms input coordinates into a higher-dimensional space using periodic functions to capture high-frequency geometric details.
- Model Architecture - Defines a neural network architecture that maps 3D spatial coordinates and view directions to volumetric color and density.
- Pose Estimation - Calculates the precise position and orientation of cameras used to capture a scene to ensure accurate spatial alignment.
- Isosurface Extractors - Converts a learned continuous volumetric density field into a discrete polygonal triangle mesh via marching cubes.
- Volumetric Mesh Extractors - Converts trained neural radiance fields into triangle meshes using marching cubes for use in 3D software.
- 3D Intersection Ray Calculators - Implements the mathematical projection of 2D image pixels into 3D world-space rays based on camera parameters.
- Volumetric Mesh Exporters - Converts neural volumetric data into polygonal triangle meshes for use in traditional 3D modeling software.
- Volumetric Mesh Extraction - Provides a neural mesh extractor that converts trained radiance fields into triangle meshes using marching cubes.
- Positional Encodings - Implements a coordinate encoding system that transforms spatial coordinates into high-dimensional space to capture fine geometric details.
- 3D Computer Vision - Neural radiance fields for high-quality view synthesis.
- 3D Reconstruction - Neural radiance fields for high-quality view synthesis.
- Neural Radiance Field Implementations - Original reference implementation using the TensorFlow framework.
- Neural Radiance Fields - Original reference implementation using the TensorFlow framework.
- Neural Scene Representation - Foundational neural radiance field model for view synthesis.
- Neural Rendering - Listed in the “Neural Rendering” section of the Ailia Models awesome list.
