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About

Mingfei Yan is a leading researcher in computer vision and 3D scene understanding, with a particular focus on creating high-fidelity digital replicas of indoor environments. His most influential contribution is the introduction of the Replica dataset, a landmark resource comprising 18 highly photo-realistic 3D indoor scene reconstructions at room and building scale. This dataset, which has garnered 384 citations, provides the research community with dense meshes, high-resolution HDR textures, per-primitive semantic and instance labels, and detailed planar mirror and glass reflectance information. By enabling precise geometric and semantic analysis of complex indoor spaces, Yan’s work has become a cornerstone for advancing embodied AI, scene understanding, and photorealistic simulation. His contributions have empowered researchers to train and evaluate models for tasks ranging from navigation to object interaction in realistic virtual environments. Yan’s dedication to open, reproducible benchmarks continues to shape the trajectory of 3D vision research, making his work essential reading for anyone exploring the intersection of computer graphics and machine learning.