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Français(FR) Marigold V2 : estimation de profondeur monoculaire via diffusion transformer, en une seule étape d'inférence. Fine-tuning en moins d'une semaine sur un seul GPU

Marigold V2: Open-source monocular depth estimation model released

By PulseAugur Editorial · [1 sources] ·

A new open-source model called Marigold V2 has been released, capable of monocular depth estimation through a diffusion transformer. This model can be fine-tuned in under a week on a single consumer GPU, with its code, weights, and a demo made publicly available. AI

IMPACT Provides a new, accessible tool for monocular depth estimation, potentially aiding researchers and developers in computer vision tasks.

RANK_REASON Release of an open-source model with a novel architecture for a specific AI task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Marigold V2: Open-source monocular depth estimation model released

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16 / 100
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Release of an open-source model with a novel architecture for a specific AI task. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, product
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 Français(FR) · [email protected] ·

    Marigold V2: Monocular Depth Estimation via Diffusion Transformer in a Single Inference Pass. Fine-tuning in less than a week on a single GPU

    Marigold V2 : estimation de profondeur monoculaire via diffusion transformer, en une seule étape d'inférence. Fine-tuning en moins d'une semaine sur un seul GPU grand public. Code, poids et démo en open source. ⬇️ https:// github.com/huawei-bayerlab/mar igold-v2 # MachineLearning…

    LINKS github.com/…/marigold-v2 camilleroux.com/veille

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