Agentic SfM Training: Verifiable Tasks + Curriculum Learning for Controlled Difficulty
gabriberton · x · 2026-07-04
Researchers believe the key advantage of training MLLMs to perform 3D reconstruction using cropping, image matching, and COLMAP tools is task verifiability. Model outputs can be quantitatively evaluated, and samples can be sorted by difficulty to support curriculum learning, which significantly reduces training difficulty and costs.
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