dmarx
Follow
scene synthesis
Code for "HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields".
[NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
NVIDIA's Deep Imagination Team's PyTorch Library
Code for KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
Is a geometric model required to synthesize novel views from a single image?
Official code release for "GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis"
This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"
(Arxiv 2021) NeRF--: Neural Radiance Fields Without Known Camera Parameters
This is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies.
A PyTorch Library for Accelerating 3D Deep Learning Research
COLMAP - Structure-from-Motion and Multi-View Stereo
Official implementation of VaxNeRF (Voxel-Accelearated NeRF).
Google Research
an implementation of 3D Ken Burns Effect from a Single Image using PyTorch
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
[ICCV21] Self-Calibrating Neural Radiance Fields
Implicit Geometric Regularization for Learning Shapes
[ICCV'21] UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
improves over nerf in 360 capture of unbounded scenes
Plenoxels: Radiance Fields without Neural Networks
Direct voxel grid optimization for fast radiance field reconstruction.
A curated list of resources on implicit neural representations.
A curated list of awesome neural radiance fields papers