I
have been struggling forever to map textures onto neurons. It's a
challenge that has plagued me throughout my journey at Blue Brain,
particularly with the intricate details of ray-tracing. The traditional
approach to texture mapping involved meticulous UV mapping, which
demanded time, patience, and a deep understanding of 3D modeling
techniques. This complex and often frustrating process has been a
significant roadblock in my work, as rendering realistic textures onto
such intricate models like neurons was both time-consuming and
demanding.
But recently, generative AI
has introduced a game-changing alternative. By learning from vast
datasets of visual information, including natural textures, AI can
produce mappings directly onto 3D models without the need for
traditional UV mapping. This new approach mirrors the methods of
traditional artists who create works based on their interpretation of
the world around them, offering a more intuitive, streamlined workflow.
For
me, this transition requires rewiring my brain, shifting from manual,
technique-driven methods to a more intuitive, AI-assisted process. Yet, I
see potential in combining the best of both worlds: the craftsmanship
of traditional 3D design and the innovative capabilities of AI-generated
art.
This hybrid approach offers an
exciting future for 3D design, where human intuition and AI's learning
capabilities can work together, creating lifelike textures and realistic
models that push the boundaries of digital art. By merging these
disciplines, designers can overcome challenges and unlock new creative
possibilities, allowing for more dynamic and lifelike renderings than
ever before.
Tuesday, April 30, 2024
AI: Unleashing generative AI for stunning scientific visualizations! Part 2
AI: Unleashing generative AI for stunning scientific visualizations! Part 1
In the world of scientific research, visualizing complex data is crucial. With generative AI and tools like the open-source Blue Brain BioExplorer that I developed at EPFL, and Adobe's Firefly, it's now easier to create captivating scientific visualizations while using the real data as a source to the final composition.
Generative AI automates the process, saving time and enabling experimentation with different visual styles. This empowers artistic creativity, communication and outreach efforts.
As generative AI continues to evolve, the possibilities for visualizing complex scientific concepts are limitless.
Reach out if you wish to explore this exciting frontier of creativity and discovery.
https://github.com/favreau/BioExplorer
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