AI RESEARCH
MODEST: Multi-Optics Depth-of-Field Stereo Dataset
arXiv CS.LG
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ArXi:2511.20853v3 Announce Type: replace-cross Reliable depth estimation under real optical conditions remains a core challenge for camera vision in systems such as autonomous robotics and augmented reality. Despite recent progress in depth estimation and depth-of-field rendering, research remains constrained by the lack of large-scale, high-fidelity, real stereo DSLR datasets, limiting real-world generalization and evaluation of models trained on synthetic data as shown extensively in literature.