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Morning Edition · Saturday, September 12, 2026Published at 2:23 AM EDT · New York
Marigold V2 Turns a Diffusion Transformer Into a Single-Step Depth Predictor
Huawei's Bayer Lab reports 16 to 26 percent lower relative depth error on KITTI and ETH3D, with fine-tuning that takes under a week on one consumer graphics card and Apache 2.0 weights.
Marigold V2, from Huawei's Bayer Lab, is a fine-tuning protocol that converts a pretrained diffusion transformer into a single-step dense predictor for monocular depth, see-through depth, surface normals, and albedo. The single-step part is…
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Frontier Model Efficiency Gains
Capability per unit of training and inference compute keeps improving, letting newer models match prior frontier performance far more cheaply and gradually loosening the link between raw scale and capability.
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