Google is introducing, Lumiere, the next-generation model for Realistic Video Generation. 𝗕𝗲𝘁𝘁𝗲𝗿 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 𝗼𝗳 𝗼𝘂𝘁𝗽𝘂𝘁: Besides a highly realistic output, Lumiere offers accrued flexibility with multiple modalities all available within the same diffusion model: - Text-to-Video: prompt as an input - Image-to-Video: image as an input - Stylized Generation: Using a single reference image, Lumiere can generate videos in the target style - Video Stylization - In-painting: off-the-shelf text-based image editing methods - Cinemagraphs: animate the content of an image within a specific user-provided region A𝗹𝗹𝗼𝘄s 𝗺𝗼𝗿𝗲 𝗰𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝘁 𝘃𝗶𝗱𝗲𝗼 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝘀𝗲𝗾𝘂𝗲𝗻𝗰𝗲: - revolutionizes video creation in one smooth process. - Its unique architecture generates full videos in a single step. #google #Lumiere #ai #aivideogeneration
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Google introduced Lumiere, a text-to-video diffusion model designed for synthesizing videos that portray realistic, diverse and coherent motion, a pivotal challenge in video synthesis. To this end, they introduced a Space-Time U-Net architecture that generates the entire temporal duration of the video at once, through a single pass in the model. This is in contrast to existing video models which synthesize distant keyframes followed by temporal super-resolution, an approach that inherently makes global temporal consistency difficult to achieve. By deploying both spatial and (importantly) temporal down- and up-sampling and leveraging a pre-trained text-to-image diffusion model, their model learns to directly generate a full-frame-rate, low-resolution video by processing it in multiple space-time scales. They demonstrate state-of-the-art text-to-video generation results, and show that their design easily facilitates a wide range of content creation tasks and video editing applications, including image-to-video, video inpainting, and stylized generation. #aivideo #googleresearch #texttovideo #texttoimage #videogeneration
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#LUMIERE A Space-Time Diffusion Model for Video Generation Lumiere -- a text-to-video diffusion model designed for synthesizing videos that portray realistic, diverse and coherent motion -- a pivotal challenge in video synthesis. To this end, we introduce a Space-Time U-Net architecture that generates the entire temporal duration of the video at once, through a single pass in the model. This is in contrast to existing video models which synthesize distant keyframes followed by temporal super-resolution -- an approach that inherently makes global temporal consistency difficult to achieve. By deploying both spatial and (importantly) temporal down- and up-sampling and leveraging a pre-trained text-to-image diffusion model, our model learns to directly generate a full-frame-rate, low-resolution video by processing it in multiple space-time scales. We demonstrate state-of-the-art text-to-video generation results, and show that our design easily facilitates a wide range of content creation tasks and video editing applications, including image-to-video, video inpainting, and stylized generation. https://lnkd.in/dxc_Dc-6
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Google just released LUMIERE. A new powerful text-to-video model designed to create entire clips in just one go. This opens up possibilities for many applications: - Image-to-video - Stylized Generation - Video editing p and beyond. - Text-to-Video - Inpainting - Cinemagraphs and more Unlike existing models, Lumiere generates entire videos in a single, consistent pass, thanks to its cutting-edge Space-Time U-Net architecture. Instead of generating short videos and temporally upsampling them, the model performs joint spatial and *temporal* downsampling -- increasing both length and quality of the generated videos. Follow Harry Pham and Kite Metric for more #AIInnovation #Lumiere #TextToVideo #VideoGeneration #DeepLearning #SpaceTimeUNet #ArtificialIntelligence #TechAdvancement #VideoEditing #CreativeAI #InnovationInTech #Cinemagraphs #StylizedGeneration #ImageToVideo #FutureTech #TechBreakthrough #VideoCreation #AIApplications #MachineLearning #DigitalTransformation #CuttingEdgeTech #LinkedInEngagement #TechNews #TextToMedia #VideoInnovation
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Google Unveils ImageFX (Should Midjourney be aorried?) Discover ImageFX: The Next Level in AI-Generated Imagery 🎨 Top Features: 1. Higher image quality. 2. Easy-to-use prompts. 3. Measures to prevent offensive content, and watermarks. Unique Aspects of ImageFX: 🔍 Design: Making AI art creation accessible to everyone. 🔍 Chips: Streamline the process of altering prompts. 🔍 Styles: Catering to a range of artistic preferences to boost engagement. What You Can Create with ImageFX: - Majestic city skyline at sunset, with vivid colors and intricate details. - Fairy tale scene, with enchanted creatures and a magical forest backdrop. - Vintage-style poster of a classic car, with intricate details and a nostalgic feel. - Futuristic cityscape, with science fiction elements and advanced architectural designs.
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🔥 6x LinkedIn Top Voice | Sr AWS AI ML Solution Architect at IBM | Generative AI Expert | Author - Hands-on Time Series Analytics with Python | IBM Quantum ML Certified | 12+ Years in AI | MLOps | IIMA | 100k+Followers
Google presents LUMIERE A Space-Time Diffusion Model for Video Generation 🔗 https://lnkd.in/dps7KP7u Demonstrate state-of-the-art text-to-video generation results, and show that our design easily facilitates a wide range of content creation tasks and video editing applications, including image-to-video, video inpainting, and stylized generation. 5 TakeAways : 📌 Single-pass generation: Creates entire videos in one go, leading to more consistent motion. 📌 Multi-scale processing: Handles diverse movements and object sizes through spatial & temporal adjustments. 📌 Top-notch text-to-video: Generates realistic and varied videos from textual descriptions. 📌 Versatile applications: Adapts to tasks like image-to-video, inpainting, and style transfer. 📌 Open questions: Needs better editing control, tackles ethical concerns, and demands high computational resources. #LLMs #MachineLearning #Technology
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🚀 New Blog Post: Intro to 3D Character Performance on the Web 🌐 Ever wondered how 3D characters can look great while running smoothly on the web? In my first blog post, I explore key strategies for optimizing 3D characters for modern platforms! Learn about techniques, and old-school tricks that still drive performance today. 🔗 Link to the full post is in the comments below! #3DArt #TechArt #WebGL #GameDev #Optimization
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Google just released LUMIERE. A new powerful text-to-video model designed to create entire clips in just one go. This opens up possibilities for many applications: - Image-to-video - Stylized Generation - Video editing p and beyond. - Text-to-Video - Inpainting - Cinemagraphs and more Unlike existing models, Lumiere generates entire videos in a single, consistent pass, thanks to its cutting-edge Space-Time U-Net architecture. Instead of generating short videos and temporally upsampling them, the model performs joint spatial and *temporal* downsampling -- increasing both length and quality of the generated videos. Follow Kite Metric for more #AIInnovation #Lumiere #TextToVideo #VideoGeneration #DeepLearning #SpaceTimeUNet #ArtificialIntelligence #TechAdvancement #VideoEditing #CreativeAI #InnovationInTech #Cinemagraphs #StylizedGeneration #ImageToVideo #FutureTech #TechBreakthrough #VideoCreation #AIApplications #MachineLearning #DigitalTransformation #CuttingEdgeTech #LinkedInEngagement #TechNews #TextToMedia #VideoInnovation
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Have you ever noticed objects closer to you move faster than those farther away while moving? This is the parallax effect, and you can experience it in real life. But did you know that websites can also create 3D space illusions using parallax? Usually controlled by scroll, there is also mouse parallax, which is controlled by mouse movement. Take a look at how this effect can create stunning visual experiences on the web. #Parallax #WebDesign #WebsiteTricks
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Interactive 3D product visualization running in browser on my phone. If an image is worth 1000 words, a video is worth even more ... you do the math on interactive experience.
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How are you turning concepts into reality? How many times do you write down ideas, only to never explore the look of it? Great products start as written ideas, then become realized in visual expression. Take some time to explore your notes. In the words of the late Hillman Curtis… “Make the invisible, visible.” (Image rendered in Maxon C4D and Redshift exploring a modern barbell clip.) #motiondesign #productdesign #visualization #marketing #3d #3danimation #c4d #redshift #weightlifting #cpg
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Engineer at Tree.ly
9moWhile the paper format videos are haunting, the Van Gogh starry night coming to life is just beautiful.