There are 1 repository under implicit-surfaces topic.
This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"
PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces (CVPR 2023)
HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details (NeurIPS 2022)
Source code for the Computer Graphics Forum paper: Segment Tracing Using Local Lipschitz Bounds. Presented at Eurographics 2020.
[3DV 2024] Color-NeuS: Reconstructing Neural Implicit Surfaces with Color
🧱 Library for Geometric / Solid Modelling based on 🪐 Implicit Surfaces modelling. (Feel free to submit Pull Requests)
Source code for the TOG paper: Terrain Amplification with Implicit 3D Features. Presented at Siggraph Asia 2019.
GPU-accelerated math function graphers in web browsers, both 3D and 2D.
Source code for our Computer Graphics Forum paper: Synthesizing Geologically Coherent Cave Networks
Reference implementation for "Temporal Set Inversion for Animated Implicits" (SIGGRAPH 2023)
C++ version based on the Marching Cubes library of the paper: http://jcgt.org/published/0008/03/01
Data-Driven 3D Reconstruction of Dressed Humans from Sparse Views
Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects
Volumetric and implicit surfaces (SDF) pathtracer implementation built on top of Yocto/GL.
Latest version of the Marching Cubes library described in the paper: http://jcgt.org/published/0008/03/01
Terrain reconstruction method using implicit deformable model
Learning the basics of rendering with PyTorch3D, exploring 3D representations, and practicing constructing simple geometry.
Visualization with Matplotlib: 3D surfaces
Official Code for "Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields"
A research-purpose software for the display of SLIM Surfaces on GPUs
Implicit surfaces with OpenGL in Haskell