UniWorld-View presents a unified framework for controllable novel-view synthesis from monocular images or videos under large camera-baseline changes. It combines explicit 3D guidance from an occlusion-aware point-cloud rendering strategy with video diffusion backbones. The authors state that this design addresses visibility ambiguities, improves geometric consistency, and supports precise camera control even with extremely limited input coverage. The framework can also generate multi-view videos for downstream dynamic 3D Gaussian Splatting reconstruction. Reported evaluations use the WorldScore benchmark and zero-shot novel-view-synthesis benchmarks, although the supplied abstract does not provide numerical results.
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