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How Synthetic Data Is Powering 4D Scene Reconstruction: Lessons from the Geo4D Paper
4D scene reconstruction — building 3D environments that evolve over time — is one of the most ambitious challenges in computer vision today. Traditionally, it requires large amounts of high-quality, annotated real-world data, which is expensive, time-consuming, and often impractical to collect. But what if we could train high-performing models without a single real-world sample?…
April 2025
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