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Judging to Improve: A De-biased VLM-as-3D-Judge Protocol for Single-Image 3D Generation
A trainable, de-biased VLM-as-judge for single-image 3D generation — one VLM family labels training pairs, a different family scores, and verdicts only count when they survive an order swap. Used to test cheap label-free adaptation of a strong base: six methods reach only parity (0.50 win-rate), never the 0.65 bar — the durable artifact is the judge protocol, not a model.