RayDer enables static-scene NVS from dynamic internet video, scaling like an LLM
CSProfKGD · x · 2026-08-27
RayDer introduces a new method to learn static-scene novel view synthesis (NVS) directly from unposed, messy, and dynamic real-world internet videos. Traditional self-supervised NVS breaks on such dynamic content, but RayDer overcomes these limitations. This allows scaling NVS training on massive web video data, similar to how LLMs scale on text.
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