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Merge pull request #51057 from Albertyang0/NEW-animate-the-impossible
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learn-pr/philanthropies/animate-impossible/1-introduction.yml

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description: "In this unit, learners explore how Microsoft Sora enhances traditional animation workflows by smoothing motion, generating frame interpolation, and simulating 3D depth from 2D assets. Learners explore how AI tools accelerate animation quality improvements and storytelling impact. Keywords: Microsoft Sora, AI animation enhancement, frame interpolation, 2D to 3D animation, animation post-production."
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learn-pr/philanthropies/animate-impossible/2-animation-transformation.yml

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description: "In this unit, learners discover how Sora enhances animation workflows by generating motion, interpolating frames, and refining animation quality. Learners explore how AI tools reduce manual effort while improving fluidity and creative expression in animated projects. Keywords: Sora, AI animation tools, frame interpolation, motion generation, animation refinement."
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learn-pr/philanthropies/animate-impossible/3-motion-simulation-generated-video.yml

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description: "In this unit, learners explore how Sora can simulate cinematic motion from text and image prompts. Learners use Sora to generate fluid, AI-driven video sequences, and experiment with storytelling through motion-rich content. Keywords: motion simulation, cinematic AI video, Sora, text-to-video, visual storytelling."
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learn-pr/philanthropies/animate-impossible/4-enhanced-animations-transformation.yml

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description: "In this unit, learners compare raw animations with AI-enhanced versions using Sora. Learners analyze case studies to understand how AI improves animation fluidity, timing, and visual storytelling impact. Keywords: Sora, AI animation enhancement, before and after animation, motion refinement."
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learn-pr/philanthropies/animate-impossible/5-animation-concept-visualization.yml

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description: "In this unit, learners walk through a step-by-step process for transforming 2D animations into dynamic, pseudo-3D scenes using Sora. Learners prepare assets, apply depth simulation, adjust motion paths, and refine animations to create cinematic movement and storytelling depth. Keywords: Sora, 2D animation transformation, pseudo-3D animation, AI depth simulation, animation motion enhancement."
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learn-pr/philanthropies/animate-impossible/6-generated-cinematic-animations-case-studies.yml

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title: AI-generated Cinematic Animations - Case Studies with Sora
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description: "In this unit, learners examine side-by-side comparisons of 2D animations and their AI-generated 3D enhancements using Sora. Learners explore how depth simulation, camera motion, and lighting improvements elevate storytelling and viewer engagement. Keywords: Sora, AI 3D animation, 2D-to-3D animation transformation, depth simulation, animation enhancement."
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learn-pr/philanthropies/animate-impossible/7-exercise.yml

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description: "In this hands-on activity, learners use Sora to apply AI-powered frame smoothing to a 2D animation sequence. Learners enhance motion fluidity, adjust smoothing settings, and refine pacing to create a more professional, natural-looking animated clip. Keywords: Sora, AI animation enhancement, frame interpolation, motion smoothing, animation refinement."
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learn-pr/philanthropies/animate-impossible/8-knowledge-check.yml

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title: Knowledge Check
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description: "Knowledge check for Module."
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learn-pr/philanthropies/animate-impossible/9-summary.yml

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description: "In this unit, learners reflect on how AI tools like Sora transform traditional 2D animation workflows. Keywords: Sora, AI animation enhancement, frame interpolation, 2D-to-3D transformation, animation storytelling."
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learn-pr/philanthropies/animate-impossible/index.yml

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title: Animate the Impossible - 2D/3D Motion Techniques with Sora
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description: "Explore how Sora enables AI-powered enhancements to traditional 2D animation workflows, including motion smoothing, frame interpolation, and 2D-to-3D transformation techniques."
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ms.topic: module-intro-to-product
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title: Animate the impossible - 2D/3D motion techniques with Sora

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