Auto-differentiable digitally reconstructed radiographs in PyTorch
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Updated
May 23, 2024 - Python
Auto-differentiable digitally reconstructed radiographs in PyTorch
3D mesh stylization driven by a text input in PyTorch
A PyTorch Library for Accelerating 3D Deep Learning Research
A framework for 4D reconstruction from monocular videos.
SVG Differentiable Rendering: Generating vector graphics using neural networks.
A differentiable 3D renderer with Pytorch, Tensorflow and Matlab interfaces
Differentiable rasterisation of point clouds in julia
Rust frontend to LuisaCompute and more!
Differentiable Point-based Inverse Rendering
Code for PERGAMO, a two step approach to learn deformable models
A differentiable programming language with an integration primitive that soundly handles interactions among the derivative, integral, and discontinuities.
A prototype differentiable programming language with an integration primitive that soundly handles interactions among the derivative, integral, and discontinuities and supports separate compilation.
Official code for "DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images". A data generation pipeline for creating photorealistic in-the-wild synthetic dermatalogical data with rich multi-task annotations for various skin-analysis tasks.
AutoLens: automated lens design from scratch.
Differentiable Rendering of Parametric Geometry (SIGGRAPH Asia 2023)
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
[NeurIPS 2022] Official code repository for "TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition"
[CVPR 2024] Intraoperative 2D/3D registration via differentiable X-ray rendering
Differentiable Shadow Mapping for Efficient Inverse Graphics (CVPR 2023)
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