Automatic generation of LOD and normal map by using differentable rasterization
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Updated
Jun 6, 2024 - Python
Automatic generation of LOD and normal map by using differentable rasterization
Simple material parameter estimator tool using Mitsuba 3 and Dr.Jit.
Next Best View - Maximum Entropy Viewpoint Selection
I present a method for rendering novel views of a scene. The goal is to optimize a volume such that it can represent a sample from a probability distribution from almost all viewing angles.
Code to construct textured deformed SMPL-X meshes for HUMBI data
A differentiable renderer written purely in TensorFlow.
Applications of the Potto differentiable programming language (https://github.com/divicomp/potto) to problems in graphics.
Some implementations of differentiable 3D mesh renderers using PyTorch with examples
Supplemental material of the article "Reparameterizing discontinuous integrands for differentiable rendering"
Differentiable Renderer
A prototype differentiable programming language with an integration primitive that soundly handles interactions among the derivative, integral, and discontinuities and supports separate compilation.
This repository contains reimplementation of existing neural renderer based 2D-to-3D mesh editing and texture mapping approach using the latest libraries like Pytorch etc.
Differentiable Rendering Optimization using image masks.
Make your own avatar, create your own digital twin.
DISTWAR atomic reduction optimization on "3D Gaussian Splatting for Real-Time Radiance Field Rendering".
Code for PERGAMO, a two step approach to learn deformable models
PyTorch implementation of the human neural rendering in unseen positions presented at WACV 2022 "Creating and Reenacting Controllable 3D Humans with Differentiable Rendering"
Differentiable Rendering of Parametric Geometry (SIGGRAPH Asia 2023)
Applications of the Teg differentiable programming language to problems spanning graphics and physical simulation.
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