AI RESEARCH
DVD: Deterministic Video Depth Estimation with Generative Priors
arXiv CS.CV
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ArXi:2603.12250v1 Announce Type: new Existing video depth estimation faces a fundamental trade-off: generative models suffer from stochastic geometric hallucinations and scale drift, while discriminative models demand massive labeled datasets to resolve semantic ambiguities. To break this impasse, we present DVD, the first framework to deterministically adapt pre-trained video diffusion models into single-pass depth regressors.