MONODIFFUSION: DEPTH ESTIMATION WITHOUT GROUND-TRUTH

Summary from the TLDR AI newsletter

This study introduces MonoDiffusion, a novel framework for self-supervised monocular depth estimation, which uniquely approaches the challenge as an iterative denoising process. It utilizes a pseudo ground-truth diffusion process guided by a pre-trained teacher model to improve depth map accuracy without using actual depth ground-truth in training.