shamanDevel / fV-SRNLinks
Fast Neural Representations for Direct Volume Rendering
☆28Updated 2 years ago
Alternatives and similar repositories for fV-SRN
Users that are interested in fV-SRN are comparing it to the libraries listed below
Sorting:
- Differentiable Direct Volume Rendering - Source Code☆39Updated 2 years ago
- Source code for "Learning Adaptive Sampling and Reconstruction for Volume Visualization"☆18Updated 2 years ago
- Code for the paper "Unbiased Inverse Volume Rendering with Differential Trackers"☆55Updated 2 years ago
- ☆106Updated 2 years ago
- ☆58Updated 3 years ago
- Reference implementation of the paper "Recursive Control Variates for Inverse Rendering" (SIGGRAPH 2023)☆49Updated last year
- ☆49Updated 7 months ago
- PyTorch implementation for paper Neural Marching Cubes.☆167Updated last year
- ☆52Updated 3 years ago
- Code release for Inverse Global Illumination using a Neural Radiometric Prior☆42Updated 2 years ago
- Code for HodgeNet: Learning Spectral Geometry on Triangle Meshes, in SIGGRAPH 2021.☆84Updated 3 years ago
- The official repo for [Learning to Learn and Sample BRDFs, Eurographics 2023]☆19Updated 2 years ago
- ☆70Updated 4 years ago
- ☆35Updated 4 years ago
- ☆43Updated 3 years ago
- ☆29Updated 6 months ago
- Public code release for the ACM Transactions on Graphics paper "Breaking Good: Fracture Modes for Realtime Destruction" and the NeurIPS 2…☆101Updated 2 years ago
- C++/PyTorch Implementation of the Paper: "Overfit Neural Networks as a Compact Shape Representation"☆33Updated 4 years ago
- ☆28Updated 3 years ago
- Dockerfile and instructions for building Mitsuba☆16Updated 6 years ago
- Code repository for the paper "Neural BRDF Representation and Importance Sampling" (CGF 2021)☆30Updated 2 years ago
- Efficient Eikonal equation solver using CUDA☆94Updated 4 months ago
- Code for SIGGRAPH ASIA 2022 paper Differentiable Rendering using RGBXY Derivatives and Optimal Transport☆81Updated 2 years ago
- This repository contains a non-exponential transmittance operator that can be used with PyTorch☆18Updated 4 years ago
- SIGGRAPH 2022 Labs Demo for "Learning Smooth Neural Functions via Lipschitz Regularization"☆30Updated 2 years ago
- Differentiable Shadow Mapping for Efficient Inverse Graphics (CVPR 2023)☆59Updated 2 months ago
- Real-time application of DIVeR☆59Updated 3 years ago
- Code for DeepCurrents: Learning Implicit Representations of Shapes with Boundaries☆58Updated 3 years ago
- The codes for SIGGRAPH 2022 paper "Nerual Layered BRDFs"☆14Updated 2 years ago
- Official code for "Mesh Density Adaptation for Template-based Shape Reconstruction". SIGGRAPH 2023☆60Updated 9 months ago