Innovations in Visual Graphics with Anton Kaplanyan
Apr 4, 2023
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Anton Kaplanyan, VP of Graphics Research at Intel, discusses advancements in ray tracing hardware, smarter algorithms, and neural graphics in visual graphics. The podcast also explores creating classical and metal tracks using neural networks, the evolution of AI in programming, and the potential of web browsers in the Open Metaverse.
Teaching algorithms to understand human perception can result in more consistent and higher quality graphics, enabling anyone to create meaningful environments.
Ray tracing advancements simplify graphics processes, increasing visual fidelity and realism while also presenting challenges in optimizing dynamic interactions and increasing dynamism.
Deep dives
AI and Machine Learning for Visual Language
AI and machine learning present an opportunity to speak a similar visual language by teaching algorithms to understand human perception. This can lead to more consistent and higher quality graphics. It also allows for higher level problem-solving and programming, where AI can learn and iterate faster, resulting in higher visual fidelity. Graphics can benefit from machine learning's streamlined hardware and predictable performance. Machine learning also offers the potential for democratization of content creation and the creation of immersive experiences, enabling anyone to create meaningful environments.
Advancements in Ray Tracing and Real-Time Path Tracing
Ray tracing has undergone explosive innovation in the last five years, leading to advancements in computer graphics. Ray tracing is a more consistent and cost-effective way of doing graphics, simplifying processes and reducing complexity. However, challenges remain, such as optimizing dynamic interactions and increasing dynamism in ray tracing, especially in terms of dynamic geometry and animation. Real-time path tracing brings higher predictability and allows for faster iterations, resulting in higher visual fidelity. The goal is to achieve higher level reasoning and programming with more predictable results, leading to more pleasing and realistic graphics.
The Power and Potential of Neural Graphics
Neural graphics is a field that intertwines AI and graphics, leveraging machine learning's ability to speak a similar visual language. The combination of multilayer perceptrons (MLPs) and differential rendering allows for highly accurate and efficient representations of complex signals and scenes. Neural graphics has the potential to deliver richer representations, incorporating time, physics, high-level semantics, and more. It offers a new approach to content creation and optimization, providing consistent and predictable results. Neural graphics also plays a key role in democratizing content creation, making it more accessible and enabling anyone to create immersive experiences.
The Future of Game Engines and Visual Computing
Game engines are evolving into larger ecosystems and platforms, driven by talented teams and crowd-sourced developments. The focus is on creating immersive experiences, intelligent content, and consistent visual quality across platforms. The separation of graphics from displays may play a significant role in delivering consistent visual experiences in a wide range of platforms. Visual computing architectures will continue to evolve, with a shift towards lower power integrated GPUs for mobile devices and high-end data center GPUs for demanding applications. The web browser has the potential to become a viable graphics platform, but challenges remain in terms of performance and consistency across different platforms.
Building the Open Metaverse is a podcast hosted by Patrick Cozzi (Cesium) and Marc Petit (Epic Games) that invites a broad range of technical experts to share their insights on how the community is building the metaverse together.
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Building the Open Metaverse is a podcast hosted by Patrick Cozzi (Cesium) and Marc Petit that invites a broad range of technical experts to share their insights on how the community is building the metaverse together.