Modular C++ Framework for rapid visualization prototyping
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PyTorch-based framework for efficient volume data loading, caching, transformations and more
Taichi-based differentiable Volume renderer for use with PyTorch
Dominik Engel and Timo Ropinski: "Deep Volumetric Ambient Occlusion" in IEEE Transactions on Visualization and Computer Graphics (2020).
CNN-based volumetric lighting and guidelines for volumetric illumination learning
Michael Stegmaier et al.: "Property-Based Testing for Visualization Development" in The Eurographics Association VisGap Workshop (2021).
Property-based Testing for Visualization Development, based on Inviwo
Ngan Nguyen et al.: "Finding Nano-Ötzi: Semi-Supervised Volume Visualization for Cryo-Electron Tomography", arXiv:2104.01554
Automatic visualization of Cryo-ET data using deep learning based 3D segmentation
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