AI RESEARCH
MoCam: Unified Novel View Synthesis via Structured Denoising Dynamics
arXiv CS.CV
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ArXi:2605.12119v1 Announce Type: new Generative novel view synthesis faces a fundamental dilemma: geometric priors provide spatial alignment but become sparse and inaccurate under view changes, while appearance priors offer visual fidelity but lack geometric correspondence. Existing methods either propagate geometric errors throughout generation or suffer from signal conflicts when fusing both statically. We