Adobe Substance 3D’s Post

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2mo

Attending #SIGGRAPH2024? Make your trip to Denver even more special by attending an exclusive #SubstanceDays keynote and reception on July 29. Join us to learn about what’s new in #Substance3D, get a sneak peek at our latest research projects, and enjoy some exclusive news. Capacity is limited. Register to grab your spot today: https://adobe.ly/4faOBrR

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Brad Taylor

Game Developer and Educator with expertise in Lighting, Materials and Look Development

2mo

Dang, sold out :(

Ingrid Aguero

Environment Director on Madden NFL at Electronic Arts (EA)

2mo

Wish I’d seen this earlier!

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Bharath TV

Sr. Engg Manager at NVIDIA
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Attend this course at #SIGGRAPH2024 to learn how to use #OpenUSD to create modular, scalable, and efficient #3D scenes. https://bit.ly/3SbZqA9
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Arundhati Banerjee

Inception Partner, NVIDIA | Engineer | Innovator
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Attend this course at #SIGGRAPH2024 to learn how to use #OpenUSD to create modular, scalable, and efficient #3D scenes. https://bit.ly/3Sc9s4a
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Serge Palaric
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Attend this course at #SIGGRAPH2024 to learn how to use #OpenUSD to create modular, scalable, and efficient #3D scenes. https://bit.ly/3Wb5ydj
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Synopsys Optical Solutions

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4mo
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#NewFeatureFriday Multi-Environment Coupling in CODE V, a game-changing feature! It facilitates modeling and optimization of athermalized spacer-based lens designs across different environmental conditions. You can also export these models to LightTools for deeper analysis! We didn't stop there! CODE V now includes a new visualization tool in V3D that aids athermalization in optical design. It provides insights into how the housing interacts with glass elements and their interconnections, removing the need for extensive knowledge of the optomechanical mount. Learn more: https://ow.ly/oRjS50RTi4P #FeatureFriday #CODEV
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何京

英伟达 - social media manager
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Attend this course at #SIGGRAPH2024 to learn how to use #OpenUSD to create modular, scalable, and efficient #3D scenes. https://bit.ly/4f3uWu1
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Darrin P Johnson, MBA
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Attend this course at #SIGGRAPH2024 to learn how to use #OpenUSD to create modular, scalable, and efficient #3D scenes. https://bit.ly/4cGhElH
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Les Karpas

NVIDIA | Startup Ecosystem Partner Manager
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Attend this course at #SIGGRAPH2024 to learn how to use #OpenUSD to create modular, scalable, and efficient #3D scenes. https://bit.ly/4bRMcPV
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Dawn Voss

AI in Healthcare and Life Sciences @ NVIDIA | Partnering and Sales
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Attend this course at #SIGGRAPH2024 to learn how to use #OpenUSD to create modular, scalable, and efficient #3D scenes. https://bit.ly/4d2whiQ
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Sheng-Ta Lee

Head of Startup & VC Partnerships (Taiwan) at NVIDIA, Supporting Startup Ecosystem Growth with NVIDIA Inception Program, Generative AI Advocate
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Attend this course at #SIGGRAPH2024 to learn how to use #OpenUSD to create modular, scalable, and efficient #3D scenes. https://bit.ly/3Y7SibP
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Johan Cedmar-Brandstedt
2mo Edited
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CLAY: The next IP lab leak? Or will they do a #cleandatarestart before launch from actually free stuff, license the property they can afford, and leave the rest well enough alone? The paper names two source datasets, one of which contains both Thingiverse and Sketchfab scrapes. Last I checked, Sketchfab was a marketplace, and Thingiverse don’t give a hoot about trademark infringement, providing a full set of The Pokémon Company International models and an Iron Man Marvel Characters B.V. model on the first page. <update: never mind! They went full Midjourney and charge for the unlicensed derivatives. So yes. Lab leak.> We know how it goes from here: passive income YouTubers, slop flooding on every marketplace, class action lawsuits. #derivativeai #degenerativeai
Alvaro García Martínez

CRETE, The Seed of Juna and SUMER creator. Game and Film industry Bottom voice.
2mo Edited

It is time not just to hold accountable all these piracy promoters. But also all those conventions, events and festivals not hard filtering these scams. Including SIGGRAPH 2024 Piracy is not a business model, neither progress. No matter how sophisticated is the reconstruction algorithm, p2p, diffusion, physical copy, etc. I ran a little experiment using https://lnkd.in/dME5dM57 Similar results with Sonic, Mario, Reinhardt. Remove one section of the original concept and it will always magically know what is left from the original IP. There is more. it has been trained using Sketchfab. In my comment below you can see how many models from Sketchfab are Public Domain. And, if this is done for research purposes, why there are 3 subscription models, including enterprise? This will be take down sooner than expected, mark my words.
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