A PyTorch Library for Accelerating 3D Deep Learning Research
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Updated
Jul 25, 2024 - Python
A PyTorch Library for Accelerating 3D Deep Learning Research
AutoLens: automated lens design from scratch.
Pytorch code for ICCV'23 paper. NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
[ECCV 2024] Pytorch code for our ECCV'24 paper NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields
A prototype differentiable programming language with an integration primitive that soundly handles interactions among the derivative, integral, and discontinuities and supports separate compilation.
Auto-differentiable digitally reconstructed radiographs in PyTorch
A framework for 4D reconstruction from monocular videos.
SVG Differentiable Rendering: Generating vector graphics using neural networks. Support: text-to-SVG, Image-to-SVG, SVG Editing.
Automatic generation of LOD and normal map by using differentable rasterization
Differentiable Point-based Inverse Rendering
A differentiable 3D renderer with Pytorch, Tensorflow and Matlab interfaces
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.
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
Point-NeRF: Point-based Neural Radiance Fields
Localizing Regions on 3D Shapes via Text Descriptions
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