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The articles are available here:
Consistory: Coherent generation of text to image without training
https://research.nvidia.com/labs/par/consistory/
SuperPADL: Scaling Physics-Based, Language-Directed Control with Progressive Supervised Distillation
https://research.nvidia.com/publication/2024-07_superpadl-scaling-language-directed-physics-based-control-progressive
Simplicities: elastic, geometry-independent, mesh-free simulation
https://research.nvidia.com/labs/toronto-ai/simplicits/
Walkin' Robin: Walking on the stars with Robin Limitations
https://research.nvidia.com/labs/prl/publication/miller2024wost/
(more media here: https://blogs.nvidia.com/blog/siggraph-2024-ai-graphics-research/ )
A free space diffraction BSDF
https://research.nvidia.com/labs/rtr/publication/steinberg2024diffraction/
Surface filling curves by flow via implicit medial axes
https://www.dgp.toronto.edu/projects/surface-filling-curves/
My article on simulations that almost look like reality is available for free here:
https://rdcu.be/cWPfD
Or here is the original link from Nature Physics with clickable quotes:
https://www.nature.com/articles/s41567-022-01788-5
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