2026
Geometric Collapse: When Vision Models Fail to Verify Physical Causality
ICML 2026poster
Recent progress in large-scale self-supervised learning has improved dense geometric prediction, but it remains unclear whether such scaling yields inference-time physical plausibility checks. We propose Scrambled Edges, a controlled counterfactual that injects salient edge-like cues while violating…