{"slug": "marigold-v2-revisiting-diffusion-transformers-for-monocular-depth-estimation", "title": "Marigold V2: Revisiting Diffusion Transformers for Monocular Depth Estimation", "summary": "Marigold V2, a diffusion transformer-based model for monocular depth estimation, revisits the approach to improve generalization to out-of-distribution inputs, addressing a persistent challenge in the field with applications in scene reconstruction, computational photography, and robotics. The model builds on prior work to enhance robustness across diverse real-world scenarios.", "body_md": "Monocular depth estimation is a ubiquitous yet highly ill-posed computer vision task, with downstream applications in scene reconstruction, computational photography, and robotics, among others. Despite the field's maturity, recent models still struggle to generalize to out-of-distribution inputs an", "url": "https://wpnews.pro/news/marigold-v2-revisiting-diffusion-transformers-for-monocular-depth-estimation", "canonical_source": "https://aiflash.com/news/116199/", "published_at": "2026-09-09 09:00:26+00:00", "updated_at": "2026-09-09 09:07:16.112985+00:00", "lang": "en", "topics": ["computer-vision", "artificial-intelligence", "machine-learning"], "entities": ["Marigold V2"], "alternates": {"html": "https://wpnews.pro/news/marigold-v2-revisiting-diffusion-transformers-for-monocular-depth-estimation", "markdown": "https://wpnews.pro/news/marigold-v2-revisiting-diffusion-transformers-for-monocular-depth-estimation.md", "text": "https://wpnews.pro/news/marigold-v2-revisiting-diffusion-transformers-for-monocular-depth-estimation.txt", "jsonld": "https://wpnews.pro/news/marigold-v2-revisiting-diffusion-transformers-for-monocular-depth-estimation.jsonld"}}