2309 06379 Style2Fab: Functionality-Aware Segmentation for Fabricating Personalized 3D Models with Generative AI

In particular, most VAEs have so far been trained using crude approximate posteriors, where every latent variable is independent. Recent extensions have addressed this problem by conditioning each latent variable on the others before it in a chain, but this is computationally inefficient due to the introduced sequential dependencies. The core contribution of this work, termed inverse autoregressive flow (IAF), is a new approach that, unlike previous work, allows us to parallelize the computation of rich approximate posteriors, and make them almost arbitrarily flexible.

This is very promising because labeled examples can be quite expensive to obtain in practice. We’re quite excited about generative models at OpenAI, and have just released four projects that advance the state of the art. For each of these contributions we are also releasing a technical report and source code. In each row, we show shapes generated from the same geometry latent code, while changing the texture latent code. In each column, we show shapes generated from the same texture latent code, while changing the geometry code.

How to Build Generative AI Applications and 3D Virtual Worlds

Omniverse users can also access thousands of new, free USD assets, including a USD-based NVIDIA RTX Winter World Minecraft experience, and learn to create their own NVIDIA SimReady assets for complex simulation building. Using Omniverse, creators can supercharge their existing workflows using familiar tools such as Autodesk Maya, Autodesk 3ds Max, Blender, Adobe Substance 3D Painter, and more with AI, simulation tools and real-time RTX-accelerated rendering. Trained using only 2D images, NVIDIA GET3D generates 3D shapes with high-fidelity textures and complex geometric details. These 3D objects are created in the same format used by popular graphics software applications, allowing users to immediately import their shapes into 3D renderers and game engines for further editing. To make this possible, we are training AI models on Roblox’s avatar schema and a set of Roblox-owned 3D avatar models.

Our solutions cater for both individual self-expression and business use cases which require mass generation of 3D models, such as generating large tailored 3D datasets of digital items, or creating 3D virtual objects according to textual prompts. It enables users to quickly generate new content based on a variety of inputs, including text, images, sounds, animation, 3D models and other data types. Alpha3D is a generative AI-powered platform that makes it faster, cheaper, and easier for users to automatically convert 2D images of real-world objects into high-quality 3D digital assets.

Should I craft a usage policy for generative AI?

Meshcapade is the cutting-edge platform you need when creating high-quality 3D models from text inputs. The platform was designed to make 3D avatars easier, allowing businesses Yakov Livshits to devote more time and energy to their main offerings. Masterpiece Studio is an AI-powered text-to-3D generator that has revolutionized the 3D modeling process.

The completed prototype was intricate, abstract, and extremely pleasing to the eye, and appeared to be perfectly suited for display at the MOMA or the Louvre. He claims that generative AI has taken many industries by storm but is lacking behind in 3D printing. The main reasons behind this delay are complicated 3D models and a lack of labeled 3D data. 3D models have conventionally been difficult to create, come in a variety of incompatible formats, and have received scant attention in comparison to 2D model analysis (text, images, video, etc.).

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.

Provided a base prompt and a low-resolution 3D model, the text can be modified to change the resulting model. Additionally, the authors of Magic3D illustrated preserving the same subject across multiple generations (a concept known as coherence) and implementing the style of a 2D image (such as a cubist painting) to a 3D model. The massive virtual worlds created by growing numbers of companies and creators could be more easily populated with a diverse array of 3D buildings, vehicles, characters and more — thanks to a new AI model from NVIDIA Research.

With Style2Fab, a user could customize the appearance of a thumb splint so it blends in with her clothing without altering the functionality of the medical device, for instance. Providing a user-friendly tool for the growing area of DIY assistive technology was a major motivation for this work, adds Faruqi. The results from the annual 3D Printing Industry Executive Survey, show that the automatic generation of 3D models using AI is a hot topic. Combined with DIBR++, GET3D is able to generate materials and produce meaningful view-dependent lighting effects in a completely unsupervised manner.

Software and Hardware

All types of 3D creators can take advantage of these new tools to push the boundaries of 3D simulation and virtual world-building. Users can reimagine digital worlds and animate lifelike characters with new depths of creativity through the bridging of audio-to-animation tools, generative AI and the metaverse. Another new panel for scene optimization lets users create USD scenes within their multi-app 3D workflows more easily and in real time. Plus, a new release for Blender, now available in the Yakov Livshits Omniverse Launcher, is bringing 3D generative AI capabilities to Blender users everywhere. The challenge of reattaching a rigged character’s head can now be solved with a one-button operation from Omniverse Audio2Face — an AI-enabled tool that automatically generates realistic facial expressions from an audio file. Elsewhere, Daghan Cam, previously a teaching fellow at the University College London’s Bartlett School of Architecture, created a flawless 3D printed architecture using GPU computing.

This improvement to comparisons provides more nuanced review and approval capabilities for creatives and stakeholders who need to work faster and more efficiently. After Effects introduces a true 3D workspace, opening the door to an entirely new way to design in motion. Add depth and dimension to compositions in a unified space with native import of 3D models. Image-Based Lighting realistically places models into a scene with complementary lighting and shadows using any image as a light source, making objects appear as though they naturally belong there. Beautiful 3D motion graphics are generated using an advanced 3D renderer, with the fast performance, high-quality antialiasing, and fantastic transparency.

ChatGPT and other tools like it are trained on large amounts of publicly available data. They are not designed to be compliant with General Data Protection Regulation (GDPR) and other copyright laws, so it’s imperative to pay close attention to your enterprises’ uses of the platforms. Foundation models, including generative pretrained transformers (which drives ChatGPT), are among the AI architecture innovations that can be used to automate, augment humans or machines, and autonomously execute business and IT processes. Foremost are AI foundation models, which are trained on a broad set of unlabeled data that can be used for different tasks, with additional fine-tuning.

• However, not all meshes are equal, and these benefits are only realized on a high-quality mesh.
• This means users not only possess less information on the object at hand, but it’s also difficult to make assumptions about the technology.
• Whether you’re a game developer, a graphic designer, or just a tech enthusiast, these tools can help you bring your ideas to life in three dimensions.
• When each audio clip is selected, the most relevant tools are automatically displayed.

Those familiar with mesh-based pipelines might have used marching cubes in the past to extract meshes. FlexiCubes can be used as a drop-in replacement for marching cubes in optimization-based AI pipelines. Move.ai enables you to capture human motion anywhere and export directly into Omniverse.

In the near term, generative AI models will move beyond responding to natural language queries and begin suggesting things you didn’t ask for. For example, your request for a data-driven bar chart might be answered with alternative graphics the model suspects you could use. In theory at least, this will increase worker productivity, but it also challenges conventional thinking about the need for humans to take the lead on developing strategy. The comparison viewer now supports viewing video, audio, photo, design file, and PDF assets side-by-side. Now, all Frame.io and Creative Cloud users can compare any two matching asset types with access to commenting and annotations, keeping you in the conversation as you carefully consider two different assets, or many versions of an asset or draft.