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Generative AI

2203 02554 Building 3D Generative Models from Minimal Data

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September 19, 2023

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How to Build Generative AI Applications and 3D Virtual Worlds

Concretely, a generative model in this case could be one large neural network that outputs images and we refer to these as “samples from the model”. There’s a large market for 3D models, with several online marketplaces including CGStudio and CreativeMarket allowing artists to sell content they’ve created. If Point-E catches on and its models make their way onto the marketplaces, model artists might protest, pointing to evidence that modern generative AI borrows heavily from its training data — existing 3D models, in Point-E’s case.

Whereas, 3D printing, is an ideal technology for bringing these shapes to life because it is capable of producing complex structures while also being cost-effective. Nvidia, a GPU manufacturer, has announced Magic3D, a generative AI that can produce 3D models from a text prompt. The generated meshes are also well-suited for physics simulation, where mesh quality is especially important to make simulations efficient and robust. The new idea of FlexiCubes mesh generation is to introduce additional, flexible parameters that precisely adjust the generated mesh. By updating these parameters during optimization, mesh quality is greatly improved. To accelerate the development of 3D worlds and the metaverse, NVIDIA has launched numerous AI research projects to help creators across industries unlock new possibilities with generative AI.

How to Develop Generative AI Models?

While GANs can provide high-quality samples and generate outputs quickly, the sample diversity is weak, therefore making GANs better suited for domain-specific data generation. Gartner sees generative AI becoming a general-purpose technology with an impact similar to that of the steam engine, electricity and the internet. The hype will subside as the reality of implementation sets in, but the impact of generative AI will grow as people and enterprises discover more innovative applications for the technology in daily work and life. Despite the admission, 404’s sources claim that some artists only saw the original 2D image before creating a 3D model from scratch, making their work full-blown production at low pay rather than simple quality control.

NVIDIA Training, which equips teams with skills for the age of AI, high performance computing and industrial digitalization, is announcing new courses that cover these technologies. The program has already equipped hundreds of thousands of students, developers, researchers and data scientists with critical technical skills. Also, using some of its advanced options gave them more fine-grained control over stylizations. The researchers wrapped all these elements into the back-end of a user interface that automatically segments and then stylizes a model based on a few clicks and inputs from the user. Faruqi and his collaborators began this project by studying the objects available in these huge repositories to better understand the functionalities that exist within various 3D models.

What are the risks of generative AI?

3D models are widely used in film and TV, interior design, architecture and various science fields. Architectural firms use them to demo proposed buildings and landscapes, for example, while engineers leverage models as designs of new devices, vehicles and structures. The generated objects could be used in 3D representations of buildings, outdoor spaces or entire cities, designed for industries including gaming, robotics, architecture and social media.

This will require governance, new regulation and the participation of a wide swath of society. We are focusing on props, weapons, collectibles, and architectual assets for now. All these features are available now in beta and are planned to be generally available later this fall. For more information on how to access the beta apps, please visit the Premiere Pro (beta) and After Effects (beta) pages. Supported on over 200+ camera systems through a vast network of integrations, Camera to Cloud is growing this year at IBC.

Supercharge your workflows with generative AI, bringing precision, power, speed, and ease so that you can focus on the strategic and creative aspects. Overall, generative AI has the potential to significantly impact a wide range of industries and applications and is an important area of AI research and development. Yakov Livshits Clients receive 24/7 access to proven management and technology research, expert advice, benchmarks, diagnostics and more. AGI, the ability of machines to match or exceed human intelligence and solve problems they never encountered during training, provokes vigorous debate and a mix of awe and dystopia.

Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

These same models are beginning to also produce multimodal outputs, such as a model that can create a text output, as well as some visuals that complement the text. We see these AI breakthroughs as an enormous opportunity to simultaneously increase efficiency for more experienced creators and to enable even more people to bring great ideas to life on Roblox. As we continue to advance these models and scale up the training and the datasets, we can expect to eventually generate samples that depict entirely plausible images or videos. This may by itself find use in multiple applications, such as on-demand generated art, or Photoshop++ commands such as “make my smile wider”.

The aggregate of these signals could result in stronger consequences, including having access to audio features revoked, or for more serious infractions, being banned from the platform entirely. Keeping our community safe and civil is critical as these advances in multimodal AI models, generative AI, and LLMs come together to enable incredible new tools and capabilities for creators. Many companies such as NVIDIA, Cohere, and Microsoft have a goal to support the continued growth and development of generative AI models with services and tools to help solve these issues. These products and platforms abstract away the complexities of setting up the models and running them at scale. The two models are trained together and get smarter as the generator produces better content and the discriminator gets better at spotting the generated content. This procedure repeats, pushing both to continually improve after every iteration until the generated content is indistinguishable from the existing content.

Effects that reference another layer, such as Displacement Map, Vector Blur, or Calculations, can use a 3D model layer as a source to create highly stylized renders. I don’t know much about 3D modeling but with Alpha3D’s light-touch plug-and-play solution, I don’t have to. We just send Alpha3D flat 2D images and receive high-quality, ready-to-use 3D assets.

Like DALL-E 2, Point-E doesn’t credit or cite any of the artists that might’ve influenced its generations. GET3D can instead churn out some 20 shapes a second when running inference on a single NVIDIA GPU — working like a generative adversarial network for 2D images, while generating 3D objects. The larger, more diverse the training dataset it’s learned from, the more varied Yakov Livshits and detailed the output. Ponzu is an AI-powered tool for developers and designers that is revolutionizing the creation of 3D assets. This revolutionary software lets users quickly and easily generate high-quality, photorealistic textures. Ponzu allows its users to express their individuality and bring their 3D models to life through fully customizable painting styles.

Furthermore, the company expects them to complete each submission within 15 minutes. Premiere Pro introduced Text-Based Editing earlier this year to help make creating rough cuts as simple as copying and pasting text. We’re proud that Text-Based Editing has been recognized with several industry innovation awards—including the prestigious HPA Engineering Excellence Award.

Recent NVIDIA research discovered a new approach called FlexiCubes for generating high-quality meshes in 3D pipelines, improving quality across a range of applications. Their philosophy is a little different in that they’re more interested in building a new genre of games and movies centered around AI versus optimizing standard production of 3D assets. Their signature feature Collodi can “build a holodeck-like experience for gamers”. Their stance on generative AI is compensating for the lack of detail in 3D environments that take away from the believability of a scene. Their belief is that with AI, small details that would take a team extensive resources to create can be perfected in minutes with AI.

• Then, Style2Fab compares those segments to a dataset the researchers created which contains 294 models of 3D objects, with the segments of each model annotated with functional or aesthetic labels.
• And as we continue to scale, that system would require more and more compute power to keep up.
• We are focusing on props, weapons, collectibles, and architectual assets for now.
• This makes RODIN a valuable tool for those who want to create lifelike 3D characters based on one’s likeness.
• Generative AI models use neural networks to identify the patterns and structures within existing data to generate new and original content.

Assets are produced at multiple levels of detail (LOD) with high quality UV mapping to suit whatever your project scope is. We also needed a new way to warn those on our voice communication tools of the potential consequences of this type of language. With this innovative detection system at our disposal, we are now experimenting with ways to affect online behavior to maintain a safe environment. We know people sometimes violate our policies unintentionally and we want to understand if an occasional reminder might help prevent further offenses. To help with this, we are experimenting with real-time user feedback through notifications.

Evan Gappelberg, CEO of Nextech, expressed his excitement about the potential of generative AI, saying that they will continue to leverage the game-changing power of generative AI. He believes it gives them a major competitive advantage in the 3D model market for the e-commerce niche. He confirmed that Nextech has now created a virtuous cycle of growth and value as the value of the company rises with each new 3D model they make. Create content just as you envision with Text to Image and Text Effects generative AI features powered by Adobe Firefly. Use fonts, animations, audio, vectors, videos, brushes, and more to quickly make those designs pop with eye-catching visuals. As an evolving space, generative models are still considered to be in their early stages, giving them space for growth in the following areas.