Thanks to Dr. Xu for sharing!
MfH estimates metric depths by leveraging generatively painted humans as landmarks.
Great collaboration with @hw_bian, @kaihuac5, @Ryan_ji, @quliao1117, Claire Lin, @bearcookiesgogo, @Devin58787109, @Hhhhao97, Jun Shen, Bhiksha Raj, and @xumin100!
Ready to reimagine monocular metric depth estimation? Welcome to stop by Poster Session 5, East at #NeurIPS2024, and explore my PhD student @YizhouZhao42 's Metric from Human (MfH). No training with metric depth annotations is required!
