Nov 13, 2023 · In this work, we introduce a novel self-supervised depth estimation framework, dubbed MonoDiffusion, by formulating it as an iterative denoising process.

Dec 4, 2023 · This motivates us to explore whether the extensive priors captured in recent generative diffusion models can enable better, more generalizable depth estimation.

Jun 13, 2024 · We present Marigold, a diffusion model and associated fine-tuning protocol for monocular depth estimation. ... Monocular depth estimation using diffusion models.

Dec 20, 2023 · The proposed method consists of two deep learning models, a size perspective model and a depth estimation model, The size-perspective model plays a role like.

Oct 24, 2023 · Analyzing Results of Depth Estimation Models With. Monocular Criteria. Proc ... Unleashing text-to-image diffusion models for visual perception. arXiv ...

Apr 25, 2024 · The surprising effectiveness of diffusion models for opti- cal flow and monocular depth estimation. ... Monocular depth estimation using diffusion models. arXiv ...

Mar 10, 2024 · We compare five monocular depth estimation methods based on deep learning. This comparison focuses on how well methods generalize rather than a quantitative ...

Dec 5, 2023 · High-Resolution Depth Estimation. Our tile-based monocular metric depth estimation model processes high-resolution images and delivers high-quality depth ...

Mar 22, 2024 · Our study demonstrates that a pre-trained image diffusion model can serve as an adequate prior for a flow matching depth model, allowing efficient training on ...