benjamin-heasly / mitsuba-dockerLinks
Dockerfile and instructions for building Mitsuba
☆16Updated 6 years ago
Alternatives and similar repositories for mitsuba-docker
Users that are interested in mitsuba-docker are comparing it to the libraries listed below
Sorting:
- This repository contains a non-exponential transmittance operator that can be used with PyTorch☆18Updated 4 years ago
- ☆83Updated 5 years ago
- ☆71Updated 5 years ago
- Code for the paper "Unbiased Inverse Volume Rendering with Differential Trackers"☆55Updated 3 years ago
- Path-space differentiable renderer☆165Updated 2 years ago
- SIGGRAPH Asia 2020: Differentiable Refraction-Tracing for Mesh Reconstruction of Transparent Objects☆76Updated 5 years ago
- An optix-based GPU path tracer☆94Updated 2 years ago
- Code for "Compositional Neural Scene Representations for Shading Inference"☆26Updated 5 years ago
- ☆28Updated 11 months ago
- A differential theory of radiative transfer☆63Updated 5 years ago
- C++/PyTorch Implementation of the Paper: "Overfit Neural Networks as a Compact Shape Representation"☆34Updated 4 years ago
- ☆48Updated 4 years ago
- SVBRDF Estimation using a Physically-based Differentiable Renderer☆35Updated 2 years ago
- ☆45Updated 5 years ago
- Reference implementation of the paper "Recursive Control Variates for Inverse Rendering" (SIGGRAPH 2023)☆50Updated 2 years ago
- Source Code for SIGGRAPH Asia 2024 Paper "Spatiotemporal Bilateral Gradient Filtering for Inverse Rendering"☆25Updated 10 months ago
- ☆40Updated 3 years ago
- Fast and accurate spherical harmonics products☆23Updated 3 years ago
- ☆33Updated 3 years ago
- Code for SIGGRAPH ASIA 2022 paper Differentiable Rendering using RGBXY Derivatives and Optimal Transport☆87Updated 2 years ago
- ☆106Updated 3 years ago
- ☆50Updated last week
- Differentiable Shadow Mapping for Efficient Inverse Graphics (CVPR 2023)☆57Updated 3 months ago
- Mitsuba time-of-flight renderer.☆57Updated last year
- Two-shot Spatially-varying BRDF and Shape Estimation☆87Updated 3 years ago
- Code for SIGGRAPH 2020 paper "Langevin Monte Carlo Rendering with Gradient-based Adaptation"☆77Updated 5 years ago
- Weakly-Supervised Contrastive Learning in Path Manifold for Monte Carlo Image Reconstruction [Cho et al. SIGGRAPH 2021]☆31Updated last year
- Code repository for the paper "Neural BRDF Representation and Importance Sampling" (CGF 2021)☆37Updated 2 years ago
- On Joint Estimation of Pose, Geometry and svBRDF from a Handheld Scanner, CVPR2020☆59Updated 5 years ago
- Implementation of algorithms to compute reflectance maps from measurements with gradient illumination.☆51Updated 4 years ago