mworchel Goto Github PK
Name: Markus Worchel
Type: User
Company: TU Berlin
Bio: PhD student in Computer Graphics at TU Berlin. Interested in (inverse) rendering, geometry processing, differentiable programming, and GPGPU.
Location: Berlin, Germany
Markus Worchel's Projects
botsch-kobbelt-remesher-libigl
Implementation of the local remesher from "A Remeshing Approach to Multiresolution Modeling" by M. Botsch and L. Kobbelt, to work with the libigl geometry processing library
cgal
The public CGAL repository, see the README below
differentiable-rendering-parametric
Differentiable Rendering of Parametric Geometry (SIGGRAPH Asia 2023)
differentiable-sdf-rendering
Source code for "Differentiable Signed Distance Function Rendering" (Siggraph 2022)
differentiable-shadow-mapping
Differentiable Shadow Mapping for Efficient Inverse Graphics (CVPR 2023)
differentiable_volumetric_rendering
This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"
diffvg
Differentiable Vector Graphics Rasterization
fastsweep
Efficient Eikonal equation solver using CUDA
fluid-2d
CUDA-based real time fluid simulation
gamestate4net
Gamestate integration framework which can be used with Steam's gamestate integration
hdr-imaging
An implementation of "Paul E. Debevec, Jitendra Malik, Recovering High Dynamic Range Radiance Maps from Photographs, SIGGRAPH 1997."
igr
Implicit Geometric Regularization for Learning Shapes
large-steps-pytorch
Implementation of "Large Steps in Inverse Rendering of Geometry"
libigl
Simple C++ geometry processing library.
meshplot
Plot 3D triangle meshes
meshzoo
:tiger: :cow: :panda_face: A collection of meshes for canonical domains
mitsuba
Mitsuba renderer main repository
mitsuba2
Mitsuba 2: A Retargetable Forward and Inverse Renderer
nvdiffrast
Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering
openmesh-nuget
NuGet package for the OpenMesh library
optixrenderer
An optix-based GPU path tracer
redner
Differentiable rendering without approximation.
saic_depth_completion
Official implementation of "Decoder Modulation for Indoor Depth Completion" https://arxiv.org/abs/2005.08607
sketch
Small physics playground for simulating forces acting upon rigid bodies
svbrdf-estimation
SVBRDF Estimation using a Physically-based Differentiable Renderer
tiny-cuda-nn
Lightning fast & tiny C++/CUDA neural network framework
umbra
UMBRA: A Concurrent, Interactive 3D Viewer for Python
visual-studio-visualizers
Custom views of various objects for Visual Studio debugger
xatlas-python
Python bindings for xatlas
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