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THE ARRASTRA-STAR CITIZEN DEEP SPACE MINING PLATFORM Another concept design I created for Star Citizen. Tasks of this ship included: 1. Concept design/concept art 2. Animation #StarCitizen #scifi #ConceptDesign #spaceship #conceptart #space

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COMET 76 - CONCEPT DESIGN/ART - OPEN TO WORK

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11,224 просмотров • 10 месяцев назад •via X (Twitter)

#StarCitizen#scifi#ConceptDesign#spaceship#conceptart#space
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messy inputs 👉🏽 polished outputs built a prototype with the idea of letting users bring together images from Lummi into a canvas, quickly wireframe a concept, and then generate polished images as a photo, illustration, 3d render, whatever—with the right lighting, shadows, cohesive colors, and all that good stuff the output is still not great... but this is where I see the future of creative tools heading—kind of like how you give ChatGPT an idea for an email—all the messy bits—and it writes it for you in any tone or style you want in a clear way. now imagine that but for design or imagery

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28,560 просмотров • 6 месяцев назад

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Researchers at Columbia University have developed modular robots that can adapt, repair, and even rebuild themselves using a concept called robot metabolism. 🤖 Instead of remaining fixed, these robots can detach, reconnect, and reorganize their own structure based on the task or environment. If one part is damaged, the system can replace or rearrange itself rather than stopping completely. This could reshape the future of disaster response, industrial automation, and even space exploration. The idea of robots that evolve instead of wear out is becoming more than science fiction. What real-world application do you think will benefit most from this technology? 🎥 Media: Columbia University ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators.

CTO ROBOTICS Media

3,686,337 просмотров • 29 дней назад

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[News] 🚨⚠️ CLOSER LOOK AT OLAF ROBOT FOR DISNEY ADVENTURE WORLD! ➡️ Walt Disney Imagineering unveils its most advanced autonomous character : the new Olaf robot, featured also in the series We Call It Imagineering. The robot will premiere for the opening of World of Frozen in 2026! ➡️ This video was taken during the Disney Adventure World Press event. A couple of details we learned : ➖ Fully electric next-gen platform with free-roaming capability ➖ 41 actuated motions enabling high-fidelity facial animation ➖ Soft, deformable exterior and animation-accurate motion design focused on believability ➖ “Deep Reinforcement Learning and Newton-based simulation for movement training” ➖ Tech collaborations with NVIDIA and Google DeepMind. ➡️ A major step forward for autonomous character robotics in the parks, another brilliant work done by #Imagineering ! #DisneylandParis [FULL VIDEO HERE :

DLP Works

11,697 просмотров • 7 месяцев назад

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🌟 Engines are fired up for the launch of a new Solana Memecoin! 🌟 ⏳ Countdown: 34 hours until launch! 👉 Details: Quick Rundown: 🚀 10% team tokens (locked for 2 months) 🚫 Zero tax – this coin is all fun, with no fees 🎨 A unique design and concept sure to captivate fans The ticker and contract address will be revealed on Twitter right after the countdown hits zero. Pro tip: be ready at least 15 minutes early. Sometimes I may need to initiate the contract setup a bit sooner than expected or might encounter minor delays due to unforeseen issues. The goal? To give everyone a fair chance to grab a piece of this exciting new token. Our aim is to create a memecoin that's not just cute and funny but one that has staying power and makes a difference. 🖌Art Contest Alert: To celebrate launch day (in just 34 hours!), we're hosting an art contest with rewards at the end of the week. So dust off your creativity and join in for a chance to win! 👉 Stay tuned for more details – keep reading! 👈

jagged

14,204 просмотров • 1 год назад

Google dropped a new AI paper called LUMIERE. It's remarkably flexible, supporting video inpainting, image-to-video, AND stylized video generation tasks. Say hello to “space-time diffusion” for video generation! Now what the heck does that mean exactly?! 🌐⏳ → TL;DR it utilizes a “Space-Time UNet” architecture that generates the full duration of the video in one pass, rather than generating distant keyframes and interpolating between them like prior works. Because the computation is done in this “compressed space-time representation” to generate the full clip at once, it's far more temporally consistent. → Another benefit of generating the full video at once is that you can “direct” the video generation, making it easier to hand off to other models/tasks without having to stitch together partial solutions. You can condition generations on additional inputs, meaning you get the full stack of AI video capabilities – from video inpainting to image-to-video and beyond. → New SOTA for AI video generation? User study results in the paper suggest human evaluators preferred Lumiere over Runway Gen-2, Pika Labs, and Stable Video Diffusion in terms of quality, text alignment AND motion. But as always, we need to get hands-on with this tech when Google *actually* decides to ship it. → Could this end up inside YouTube? Y’all know i’m obsessed with blending reality and imagination – so it’s the video inpainting tech I'm most excited about. I really hope this model finds its way into YouTube's Generative AI efforts, and based on their prior announcements and the list of acknowledgments in the paper I think it might! 🤞🏽 Links: 🔗Paper: 🔗Project:
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Google dropped a new AI paper called LUMIERE. It's remarkably flexible, supporting video inpainting, image-to-video, AND stylized video generation tasks. Say hello to “space-time diffusion” for video generation! Now what the heck does that mean exactly?! 🌐⏳ → TL;DR it utilizes a “Space-Time UNet” architecture that generates the full duration of the video in one pass, rather than generating distant keyframes and interpolating between them like prior works. Because the computation is done in this “compressed space-time representation” to generate the full clip at once, it's far more temporally consistent. → Another benefit of generating the full video at once is that you can “direct” the video generation, making it easier to hand off to other models/tasks without having to stitch together partial solutions. You can condition generations on additional inputs, meaning you get the full stack of AI video capabilities – from video inpainting to image-to-video and beyond. → New SOTA for AI video generation? User study results in the paper suggest human evaluators preferred Lumiere over Runway Gen-2, Pika Labs, and Stable Video Diffusion in terms of quality, text alignment AND motion. But as always, we need to get hands-on with this tech when Google *actually* decides to ship it. → Could this end up inside YouTube? Y’all know i’m obsessed with blending reality and imagination – so it’s the video inpainting tech I'm most excited about. I really hope this model finds its way into YouTube's Generative AI efforts, and based on their prior announcements and the list of acknowledgments in the paper I think it might! 🤞🏽 Links: 🔗Paper: 🔗Project:

Bilawal Sidhu

44,822 просмотров • 2 лет назад