Хотите быстро и с легкостью создать заставку для ТВ или к своим видео на YouTube, но как? Ответ будет простой, используйте Maya и набор инструментов MASH.

About $2 trillion, that’s the amount of money the architecture, engineering, and construction (AEC) industry lost due to bad data—data that is inaccurate, inaccessible, and incomplete. In the industries Autodesk serves, data is a critical lifeline for project decisions and Automation, Integration, & Customizations. But all too frequently, that data is not easily accessible, or, even worse, the available data is simply bad. Across the globe, the ability to use data in an insightful manner is no longer a nice-to-have. It has become a primary source of competitive advantage. Furthermore, with acceleration of artificial intelligence (AI), the need for data is increasing exponentially. Those who use their data to make informed decisions and gain performance insights will ultimately emerge as leaders in their industries. Meet the leaders behind the industry data models to learn more about how Autodesk will solve top customer problems.

In this session, we’ll walk through real-world examples that showcase how developers and pipeline engineers can programmatically submit, manage, and monitor compute-intensive tasks in the cloud. Using the Job and Resource APIs from the Flow Graph Engine API, you'll learn how to offload simulations, batch process assets, and streamline repetitive workflows using Bifrost as a cloud executor. This API-first approach frees up local machines, accelerates production, and enables scalable parallel execution—helping teams reduce turnaround time and improve pipeline efficiency. Whether you're building internal tools or optimizing large-scale asset generation, this session will offer practical insights into integrating cloud-based compute into your 3D production workflows.

When Fox Nation’s Revolutionary War docuseries called for A-list performances in historic American locations, GO delivered the future. Instead of flying talent across the country, GO recreated the Boston Tea Party and Mount Vernon as immersive SCAPEs using LiDAR, NeRF, and photogrammetry. In this panel, we’ll break down how GO brought Rob Lowe to a virtual Boston Harbor and Kelsey Grammer to a digital Mount Vernon—without ever leaving LA. From Sustainable Design and cost-savings to creative flexibility, this is a case study in Digital Prototyping production, Autodesk integration, and the new blueprint for high-end, low-impact filmmaking.

This class will present a fast, easy-to-use workflow for creating a dynamic cinematic scene using Maya software (modeling, setup, and animation) and Unreal Engine (layout and rendering). This hands-on class has the indie artist and 3D generalist in mind, instead of big companies with armies of specialized artists. Unreal Engine is widely used in the industry as a powerful, real-time rendering alternative to more-traditional renderers. Unreal Engine is a perfect companion to Maya, letting you achieve high-quality renderers in a fraction of the time needed with other renderers. Nevertheless, Unreal Engine’s integration with Maya can be very confusing for beginners. This class will cut to the chase and show you how to set up your cinematic scene in Maya, and give you best practices to properly export it to Unreal Engine. Then we will show you how to set up everything again inside Unreal Engine, how to lay out your cameras and edit in Unreal Sequencer, how to apply post effects, and, finally, how to export your final cinematic scene.

In this session, we’ll explore the fundamentals of creating expressive facial animation in Maya software, with a strong focus on design and appeal. From understanding key facial shapes to enhancing emotions with nuanced details, we’ll break down essential techniques that bring characters to life. We’ll also discuss how strong posing, clear silhouettes, and exaggeration contribute to readability and charm, ensuring that every expression feels intentional and engaging. This lecture will provide insights to elevate your facial animation with both technical precision and artistic appeal.

We believe every content creation organization (CG-VFX) using Flow Production Tracking software in some way faces challenges when transferring data between its offices or with its outsourced vendors and clients. To address these challenges, we designed and developed a UDP-based high-speed application in sync with Flow Production Tracking. FastX is highly reliable for all types of data movements—transfers of scans, work files, final output, multisite/remote renders, CG Files, vendor output, files to DI, disaster safe backup, and final output to clients. Most of the transfers mentioned resemble work related to the CG-VFX industry. But FastX was actually designed to address many industries that deal with high-volume data transfers in daily operations.

3D layout is a critical component of the 3D animation production workflow. Working from storyboards, the layout artist builds the first 3D representation of that storyboard in a cinematic form by using the models created by the rest of the crew. The layout artist will set up cameras, and decide which lenses to use, where to position the lights, and how to lay out the 3D environment and props. They will then roughly animate the characters, either manually or with motion capture. The end result is a rough version of the scene that will be passed to the animation department. To be a good layout artist, a person needs to have a very good knowledge of Maya software, as well as a good mastery of cinematography concepts. This presentation will go though some basic concepts of cinematography that every layout artist needs to know. And then it will show how to create a 3D layout scene inside Maya step by step, starting from a 2D storyboard.

Artificial intelligence (AI) and extended reality (XR) are changing how we design, collaborate, and learn. Whether it’s automating repetitive tasks, improving real-time collaboration, or creating immersive training environments, these technologies are making workflows faster and more interactive. This session will explore practical ways AI and XR are being used across design, architecture, and media. We’ll look at how AI enhances creativity and speeds up ideation, how XR helps teams visualize ideas before they’re built, and how these tools are transforming training by making learning more hands-on and accessible. Rather than replacing human skills, AI and XR are becoming essential tools for designers, engineers, and educators. This session will share real-world examples of how they’re shaping the —and how you can integrate them into your own practice.

Generative model data—such as photogrammetry and generative artificial intelligence (gen AI)—is becoming more and more pervasive in our daily work as we visualize experiences for our customers. While this generative content might look okay at first glance, upon further inspection we see that it’s far from being production ready. So, how do we turn it into something that we can use? Using 3ds Max software, we’ll cover various tools and functionality that can easily clean up and improve this data so you can use it as a positive force multiplier in your productions.

Carleton Immersive Media Studio (CIMS) has been involved in the 3D modeling of judicial evidence for homicide cases since 2015. The lab has refined its modeling workflows based on the established use of reality capture (photogrammetry) and BIM (Building Information Modeling) to model artifacts and buildings. Working with the coroner’s office, CIMS has incorporated newer forms of 3D modeling and real-time rendering to establish a standard for displaying digital representations of photographic evidence in a courtroom setting. In this class, we’ll cover our modeling process, starting with analyzing evidence to presenting the data in a user-friendly format. Utilizing Maya software, we’ll model a series of anatomical base meshes that we’ll then manipulate to show inflicted injuries. Next, we’ll texture map the models in Mudbox using photos as reference. Finally, we’ll combine the pieces in Unreal Engine using a template. The addition of blueprints and widgets complete the final product.

Jason Martinsen is an animation industry professional with 18 years of animation experience at companies like Naughty Dog, Sony, Blue Sky, DNEG, Coalition, Moon Studios, and Reel FX. In this session, he will talk about some animation tips and tricks he’s learned throughout the years. He will gear the discussion toward animation professionals and students, and the topics covered will use terminology unfamiliar to non-animators.

As part of our 2021 product releases, many products will include a faster install and easier deployment experience that will automate critical updates, customize and streamline deployment, and let users get up and running instantly without any downtime. Come learn from an expert about the new install experience!

Web 3.0 is here, and industries and organizations need to be prepared to upgrade their existing content to 3D at scale. Many brands have already invested in 3D design to improve manufacturing, but haven't yet scratched the surface on the potential scalability with game engines to create interactive training, run simulations for better planning, or create more dynamic sales materials. How should organizations be thinking about their 3D strategies? Join Ashley Crowder, a pioneer in 3D and spatial computing technology, who will demo how 3D assets can be interoperable and used across the metaverse, e-commerce, product lifecycle management (PLM), and more to improve employee training, increase speed to market, and boost sales. She will present case studies—including Kohler, Merrell, and Michael Kors—that provide real-life examples on best practices for 3D designs from AutoCAD, Maya, and 3ds Max software to Unreal Engine, Unity, and web viewers. From design to e-commerce to B2B sales, learn how build a winning 3D strategy.

This class will present a fast, easy-to-use workflow for creating great-looking renders using Maya software with the GPU-based Redshift Renderer. This hands-on class has the indie artist and 3D generalist in mind, instead of the big company with an army of specialized artists. The Redshift Renderer is widely used in the industry and can give you realistic-looking images in a fraction of the time needed with other renderers. Nevertheless, Redshift's integration with Maya can be confusing in the beginning. This class will cut to the chase and show you how to set up your model in Maya; select the correct Redshift shaders; prepare your materials, lights, and lens effects; and finally render your image using the two available modes in Redshift: Production and RT (Real Time). You'll learn about lens effects, denoisers, AOVs, and VDB rendering.

It's 2023 and you've been wondering "WTF is USD?” You're not alone! Software never stops evolving, and it is easy to feel left behind when new tech enters the scene. Funny enough, that is exactly what USD is aiming to address. USD stands for Universal Scene Description, and it is an open-source initiative, meaning it is being built in a public facing manner, without any single company claiming ownership of its development. Rather, multiple companies share the same vision – a world where sharing production assets among programs is consistent, reliable and easy. In this class you will learn USD's origin, where its currently at in the Media & Entertainment Industry, where it is headed, and how these techniques and technologies add benefit to any industry pipeline.

RADiCAL's artificial intelligence (AI) enables 3D motion capture, animation, and content solutions for film, gaming, and live events for everyone, everywhere. Our AI delivers an end-to-end software-only solution, generatively going straight from a single 2D video to 4D skeletal joint rotations, in real time, requiring no coding, hardware, investment, or training. Camera, browser, internet: done. In this product demo, we'll explain how RADiCAL Live works, how you bring real-time, multiplayer, motion-capture data into Maya software. We'll go into RADiCAL's development road map (including feature sets to be released soon). And we'll cover how we continue to partner with Autodesk in the creation of a truly democratized, end-to-end, cloud-based, collaborative content-creation platform that has AI at its heart.

In this session, we'll show a pipeline concerning the benefits of moving content from Autodesk products to Unreal Engine and Twinmotion Engine.

The rapid evolution of artificial intelligence (AI) has opened new frontiers for creative expression and world building, transcending traditional boundaries of imagination. This session will explore the potential of AI-generated worlds in fostering empathy, rituals, and community building, while reflecting on the environmental challenges faced in the Anthropocene. We’ll discuss a case study of an imagined world, that we call Eden. This world was designed to have one-to-one mirrors of the relationships formed between ecosystems on planet Earth, while being different enough to avoid an uncanny valley effect. We’ll highlight the role of AI-generated worlds in providing a mirror for understanding our own planet and community, emphasizing the importance of empathetic practices for planetary interests.

With recent advances in generative models, many industries must adapt to offer more-intuitive solutions to interact with their expert software. The challenge ahead is to combine this expert knowledge with artificial intelligence (AI) to include more-natural ways of interacting with our tools while remaining precise and controllable. In this talk, we will discuss our solution to achieve this for content creation in Maya software. We'll present a high-level overview of the architecture to better understand the integration of the Microsoft Azure OpenAI services in our product. Then, we will discuss how we improved the inference model bridging the gap between research and production. We'll also show a demo of our plug-in in Maya software on a complex scene. You'll leave this session knowing how to prepare a proper data set for code generation from prompt, how to design a structured context improving the accuracy of the generated response, and how to maximize custom embeddings to handle more-complex use cases.