Advancements in AI Animation Techniques

The internet is flush with creatives debating the merits of text-to-video models like Sora, but this is the type of AI everyone can get behind. Teleporting your talent into virtual environments is typically a tall order. Green screen is easy, but re-lighting your subject to match a dynamic 3D environment is painful. Skin, hair, clothing all interact with lighting differently. Professionals often rely on a fancy light stage or LED capture volume (ala. Mandalorian), combined with a ton of manual compositing. Meanwhile, ML-based approaches use simplified physical models and are limited by training data. Beeble + New York University is pushing the boundaries of virtual production – making these advanced techniques accessible to all creators, while giving them fine-grain control. It's not just a PBR shader; they utilize neural rendering to emulate light transport effects like sub-surface scattering – so when light interacts with your skin, you don’t look like a waxed up cadaver in Madame Tussauds :) Paper link below!

I couldn’t be more excited to share our latest AI research breakthrough in video generation at Meta. We call it Movie Gen and it’s a collection of state-of-the-art models that combine to deliver the most advanced video generation capability ever created. Movie Gen brings some incredible new innovation to this field including: • Up to 16 seconds of continuous video generation – the longest we’ve seen demonstrated to date. • Precise editing – unlike others that are just style transfer. • State-of-the-art video conditioned audio which is better than all the text to audio models • Video personalization in a way never done before – not image personalization with animation. We’ve published a blog and a very detailed research paper along with a wide selection of video examples that you can check out: https://lnkd.in/gTfwRsHm

After sharing my Hercules animation comparison, many asked about my actual day-to-day workflow… While tools like Gen-3 and Sora show impressive progress, my focus lies in production-ready solutions using AnimateDiff in ComfyUI. Here's a process breakdown of how these tools work in practice: [Original Performance → Pre-composition → Final Render] Video-to-video style transfer isn't just a neat trick - it's becoming an essential production tool. Not because it replaces traditional animation, but because it lets artists focus on what matters: creative direction and storytelling. When we reduce time spent on repetitive tasks, we create space for innovation. Since introducing style transfer dance animations to mainstream audiences in early 2023, I've had the privilege of watching this medium grow into its own distinct genre of digital art. Every day, talented creators join this space, each bringing fresh perspectives and innovative techniques. As this community continues to expand, my focus remains on pushing the boundaries of what's possible and sharing knowledge that helps others advance the craft. The challenge isn't just understanding the technology - it's envisioning how it fits into existing pipelines. Every breakthrough tool should serve one purpose: enabling artists to create more while burning out less. No more choosing between quality and reasonable working hours. For those interested in diving deeper, I'm launching a Patreon focused on practical workflows and building a community of forward-thinking creators. Animation is evolving, and I believe we can shape that evolution to benefit both the art and the artists. Performanc by @acro_connection on IG #aiadvancements #tech #newtech #emergingtech #marketing #socialmediamarketing #ai

BREAKING: ByteDance has introduced OmniHuman-1, an AI model designed to generate realistic motion and expressions from a single image. Unlike previous AI-generated video models, which often struggle with consistency and facial accuracy, OmniHuman-1 focuses on preserving details while producing smooth, controlled movements. The model appears to build on advancements in motion synthesis, creating more lifelike animations with minimal input. It can generate a video from a static image, capturing natural expressions and gestures without requiring complex multi-frame inputs or additional data. This could open up new possibilities for industries like virtual avatars, gaming, marketing, and film production by reducing the need for manual animation or motion capture. While the potential is clear, OmniHuman-1 also raises questions. How well does it perform in real-world applications? Can it be used for storytelling, digital influencers, or even AI-generated customer interactions? And with such realistic AI-generated videos becoming easier to create, what safeguards are needed to prevent misuse? ByteDance’s move signals another step forward in AI-powered content generation. The question is, how will this shape the future of video creation?

The Dubai Art Museum has embraced cutting-edge AI technology to animate paintings, creating an immersive and dynamic experience for visitors. This innovative approach merges traditional art with modern tech, allowing AI to breathe life into static images. Through deep learning algorithms and neural networks, AI systems analyze the brushstrokes, colors, and composition of a painting, predicting how the artwork might move or change over time. This process creates a fluid animation that preserves the artist's original vision while adding a new dimension of interactivity. The technology often integrates with augmented reality (AR) devices, enabling museum-goers to use their smartphones or wearables to view these dynamic interpretations, bringing historical and contemporary art to life in real time. Visitors can watch landscapes ripple with motion, figures in portraits blink or shift, or abstract shapes evolve organically, transforming how they engage with art. This fusion of AI and art at the Dubai Art Museum highlights how technology can enhance creativity, offering a futuristic glimpse into the evolving world of cultural experiences. It redefines the role of museums, turning them into spaces where art is no longer confined to walls but interacts with viewers in profound new ways. Video credit and rights are reserved for the respective owner (s). #honestai #honestaiengine HonestAI - Generative AI, Machine Learning and More