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Nov 6, 2023 · We introduce a novel self-supervised depth estimation framework, dubbed MonoDiffusion, by formulating it as an iterative denoising process.
Oct 4, 2023 · PyTorch Implementation of introducing diffusion approach to 3D depth perception. depth-estimation monocular-depth-estimation diffusion-models. Updated on Oct ...
Mar 10, 2024 · The approach addresses this limitation by utilizing stable diffusion to generate synthetic images that mimic challenging conditions. Additionally, a self- ...
Mar 25, 2024 · [CVPR'2024] Official implementation of the paper "ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation" - Aradhye2002/EcoDepth.
Oct 12, 2023 · ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation (diffusion), CVPR 2024 | github ... Depth Estimation using Visual Foundation ...
Mar 21, 2024 · We present DepthFM, a state-of-the-art, versatile, and fast monocular depth estimation model. ... diffusion model (Stable Diffusion v2-1) to a flow matching model ...
Apr 1, 2024 · 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 ...
May 28, 2024 · We present Marigold, a diffusion model, and associated fine-tuning protocol for monocular depth estimation. Its core principle is to leverage the rich ...
Atlantis: Enabling Underwater Depth Estimation with Stable Diffusion
github.com › zkawfanx › Atlantis
Apr 5, 2024 · In this paper, we propose a novel pipeline for generating photorealistic underwater images using accurate terrestrial depth data. This approach facilitates the ...
Dec 6, 2023 · Implementation of Algorithms for estimating the defocus map from a single defocused image source using image processing techniques and mathematical modelling.
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