The teacher–student training strategy is doing heavy lifting. They train a synthetic-only teacher, align it with real-world noisy depth using RANSAC, and suddenly all these “bad datasets” become high-quality supervision signals. That’s how DA3 learns sharp, dense geometry
Teacher-student training with RANSAC turns bad data into high-quality supervision
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