EgoX: Generate immersive first-person video from any third-person clip A novel framework from KAIST AI & Seoul National University that leverages video diffusion models to transform a single exocentric video into a realistic egocentric view. See it in action!
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EgoX achieves coherent & realistic egocentric video generation, proving robust across diverse, unseen scenarios! Explore how this framework overcomes extreme camera pose challenges for immersive experiences:
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@HuggingPapers Incredible innovation! EgoX opens up new possibilities for immersive video experiences by turning standard clips into realistic first-person perspectives.
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Microsoft TRELLIS.2 is here 🔥 • Single image → textured 3D mesh • 4B params, flow-matching transformer • Up to 1536³ resolution • Open weights, MIT licensed ⬇️ Demo available on Hugging Face
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the secret life of boids using gemini 3 flash to simulate simple rules that lead to emergent behaviours (attraction, repulsion, cohesion)
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We’re open-sourcing Perception Encoder Audiovisual (PE-AV), the technical engine that helps drive SAM Audio’s state-of-the-art audio separation. Built on our Perception Encoder model from earlier this year, PE-AV integrates audio with visual perception, achieving
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