Feb 28, 2023 · Abstract:We formulate monocular depth estimation using denoising diffusion models, inspired by their recent successes in high fidelity image ...

Abstract. We formulate monocular depth estimation using denoising diffusion models, inspired by their recent successes in high fidelity image generation.

Monocular depth estimation is a challenging task that predicts the pixel-wise depth from a single 2D image. We propose DiffusionDepth, a new approach that ...

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

We introduce a novel self-supervised depth estimation framework, dubbed MonoDiffusion, by formulating it as an iterative denoising process.

Based on the idea, we propose a new SIDE model using a diffusion backbone conditioned on ViT embeddings. Our proposed design establishes a new state-of-the-art ...

1. We formulate optical flow and monocular depth estimation as image to image translation with generative diffusion models, without specialized loss functions ...

This paper proposes to use diffusion models to solve monocular depth and optical flow estimation tasks. Unlike previous task-specific models for depth and flow, ...

Duration: 1:45:40
Posted: Dec 17, 2023

Feb 28, 2023 · We formulate monocular depth estimation using denoising diffusion models, inspired by their recent successes in high fidelity image ...