Re-Depth Anything: Enhancing Depth Perception with Self-Supervised Re-lighting
Published:Dec 19, 2025 18:59
•1 min read
•ArXiv
Analysis
This ArXiv paper introduces a novel approach to refining depth estimation using self-supervised learning techniques and re-lighting strategies. The core contribution likely involves improving the accuracy and robustness of existing depth models during the testing phase.
Key Takeaways
Reference
“The paper focuses on test-time depth refinement.”