JAX implementation of instant-ngp (NeRF part)
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Updated
May 25, 2024 - Python
JAX implementation of instant-ngp (NeRF part)
Thesis Code Repository on high frequency ray intersection (points,view dirs) feature map embedding Networks to improve Neural Surface Reconstruction convergence based on IDR project. Let Controlled Neural Level Sets Learn High Frequency Content
A General NeRF Acceleration Toolbox in PyTorch.
An educational implementation of Instant NGP NeRF using JAX and Numba instead of custom CUDA kernels.
INSTA - Instant Volumetric Head Avatars [CVPR2023]
Code for "Accurate Differential Operators for Hybrid Neural Fields"
A novel way to view items for sale!
Pipeline for training multiple Instant-NGP NeRF model using transfer learning, and rendering dynamic scene based on your own view pose.
The official implementation of the paper Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields, the first interactive pixel-level NeRF editing tool.
A text guided 3D model generation model & application. An implemntation of DreamFusion approach with UIs.
Easy NeRF synthetic dataset creation within Blender
Makes creating a Nerf, simple and easy on windows machines
Dive into cutting-edge FusionSLAM, where SuperPoint, SuperGlue, Neural Depth Estimation, and Instant-NGP converge, elevating Monocular SLAM to unparalleled precision and performance. Redefining mapping, localization, and reconstruction in a single camera setup.
Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)
INSTA - Instant Volumetric Head Avatars [Demo]
Nerf and extensions in all
Instant NeRF for depth/3d shape estimation of transparent objects
Wall clock image dataset for NeRF
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