Nvidia Blog 03月11日
Oscars Gold: NVIDIA Researchers Honored for Advancing the Art and Science of Filmmaking
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NVIDIA的三位研究员Essex Edwards, Fabrice Rousselle和Timo Aila因其在电影行业的开创性贡献而荣获奥斯卡科学技术奖。他们的创新涵盖了模拟、降噪和渲染领域,正在帮助塑造视觉叙事的未来,使电影制作人能够创造出更加令人惊叹和身临其境的世界。他们的研究成果,如Ziva VFX、Disney’s ML Denoiser和U-Net架构,已广泛应用于电影制作中,显著提升了视觉效果的质量和效率。这些技术不仅推动了电影行业的发展,也为其他领域带来了创新。

👨‍💻Ziva VFX:由Essex Edwards参与设计的Ziva VFX系统,通过直观的、基于物理的方法,允许艺术家构建和模拟数字角色的人类肌肉、脂肪、筋膜和皮肤,为电影带来了栩栩如生的数字角色。

🤖Disney’s ML Denoiser:Fabrice Rousselle参与研发的Disney’s ML Denoiser,利用先进的机器学习降噪技术,引入了开创性的内核预测卷积网络,确保渲染图像的时间稳定性,从而实现更高质量的图形效果,已被广泛应用于动画电影、真人视觉效果和高端渲染工作流程。

🧠U-Net架构:Timo Aila率先开发的U-Net架构,能够去除噪声并保留精细细节,已成为电影行业中至关重要的技术,也被应用于NVIDIA OptiX Denoiser等其他电影降噪器中。

For the past 16 years, NVIDIA technologies have been working behind the scenes of every Academy Award-nominated film for Best Visual Effects.

This year, three NVIDIA researchers — Essex Edwards, Fabrice Rousselle and Timo Aila — have been honored with Scientific and Technical Awards by the Academy of Motion Picture Arts and Sciences for their groundbreaking contributions to the film industry. Their innovations in simulation, denoising and rendering are helping shape the future of visual storytelling, empowering filmmakers to create even more breathtaking and immersive worlds.

Image courtesy of DNEG © 2024 Warner Bros. Ent. and Legendary. All rights reserved. GODZILLA TM & © Toho Co., Ltd.

Ziva VFX: Bringing Digital Characters to Life

Essex Edwards received a Technical Achievement Award, alongside James Jacobs, Jernej Barbic, Crawford Doran and Andrew van Straten, for his design and development of Ziva VFX. This cutting-edge system allows artists to construct and simulate human muscles, fat, fascia and skin for digital characters with an intuitive, physics-based approach.

Providing a robust solver and an artist-friendly interface, Ziva VFX transformed the ways studios bring photorealistic and animated characters to the big screen and beyond.

Award-winning visuals effect and animation studio DNEG is continuing to develop Ziva VFX to further enhance its creature pipeline.

“Ziva VFX was the result of a team of artists and engineers coming together and making thousands of really good small design decisions over and over for years,” said Edwards.

Disney’s ML Denoiser: Revolutionizing Rendering

Fabrice Rousselle was honored with a Scientific and Engineering Award, alongside Thijs Vogels, David Adler, Gerhard Röthlin and Mark Meyer, for his work on Disney’s ML Denoiser. This advanced machine learning denoiser introduced a pioneering kernel-predicting convolutional network, ensuring temporal stability in rendered images for higher-quality graphics.

Originally developed to enhance the quality of animated films, this breakthrough technology has since become an essential tool in live-action visual effects and high-end rendering workflows. It helps remove noise, sharpens images and speeds up rendering, allowing artists to work faster while achieving higher quality.

Since 2018, Disney’s state-of-the-art denoiser powered by machine learning (ML) has been used in over 100 films, including “Toy Story 4,” “Ralph Breaks the Internet,” and “Avengers: Endgame.”

The denoiser was developed by Disney Research, ILM, Pixar and Walt Disney Animation — the result of a massive cross-studio effort helping to push the boundaries of visual storytelling for studios across the industry.

In this extreme example of four samples average per pixel, Disney’s ML Denoiser does a remarkable job. Inside Out 2 © Disney/Pixar 

Applying U-Nets to Denoising

Timo Aila received a Technical Achievement Award, alongside Attila T. Áfra, for his pioneering contributions to AI image denoising. Aila led the early development of the U-Net architecture, which has proven able to remove noise while preserving fine details, and has become a vital technique across the film industry. Áfra implemented it in Intel Open Image Denoise, a popular open-source library for high quality AI-driven denoising. U-Nets have become an important technology in other film denoisers as well, including the NVIDIA OptiX Denoiser.

“Path tracing has an inherent noise problem, and in the early days of deep learning, we started looking for architectures that could help,” Aila said. “We turned to denoising autoencoders, and the pivotal moment was when we introduced skip connections. Everything began to work, from fixing JPEG compression artifacts to eliminating the kind of Monte Carlo noise that occurs in path-traced computer graphics. This breakthrough led to the production of cleaner, more realistic images in rendering pipelines.”

Pushing the Boundaries of Visual Storytelling

With these latest honors, Edwards, Rousselle and Aila join the many NVIDIA researchers who have been recognized by the Academy for their pioneering contributions to filmmaking.

Jos Stam accepting his award at the 78th Sci-Tech Awards ceremony.

Over the years, 14 additional NVIDIA researchers have received Scientific and Technical Awards, reflecting NVIDIA’s significant contributions to the art and science of motion pictures through cutting-edge research in AI, simulation and real-time rendering.

This group includes Christian Rouet, Runa Loeber and NVIDIA’s advanced rendering team, Michael Kass, Jos Stam, Jonathan Cohen, Michael Kowalski, Matt Pharr, Joe Mancewicz, Ken Museth, Charles Loop, Ingo Wald, Dirk Van Gelder, Gilles Daviet, Luca Fascione and Christopher Jon Horvath.

The awards ceremony will take place on Tuesday, April 29, at the Academy Museum of Motion Pictures in Los Angeles.

Learn more about NVIDIA Research, AI, simulation and rendering at NVIDIA GTC, a global AI conference taking place March 17-21 at the San Jose Convention Center and online. Register now to join a conference track dedicated to media and entertainment.

Main feature courtesy of DNEG © 2024 Warner Bros. Ent. and Legendary. All Rights Reserved. GODZILLA TM & © Toho Co., Ltd.

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