{"slug": "learning-3d-editing-without-paired-supervision-via-generative-prior-distillation", "title": "Learning 3D Editing without Paired Supervision via Generative Prior Distillation", "summary": "Researchers propose a method for instruction-guided 3D editing that eliminates the need for paired supervision by distilling generative priors, addressing the scarcity of high-quality training data. The approach aims to overcome the limitations of existing methods that rely on slow test-time optimization or pseudo-pairs.", "body_md": "Instruction-guided 3D editing is essential for interactive content creation, yet it faces a significant bottleneck: the severe scarcity of high-quality paired training data. Existing approaches attempt to bypass this by either relying on slow test-time optimization or training on pseudo-pairs constr", "url": "https://wpnews.pro/news/learning-3d-editing-without-paired-supervision-via-generative-prior-distillation", "canonical_source": "https://aiflash.com/news/116343/", "published_at": "2026-09-09 14:00:19+00:00", "updated_at": "2026-09-09 14:13:13.745074+00:00", "lang": "en", "topics": ["artificial-intelligence", "generative-ai", "computer-vision"], "entities": [], "alternates": {"html": "https://wpnews.pro/news/learning-3d-editing-without-paired-supervision-via-generative-prior-distillation", "markdown": "https://wpnews.pro/news/learning-3d-editing-without-paired-supervision-via-generative-prior-distillation.md", "text": "https://wpnews.pro/news/learning-3d-editing-without-paired-supervision-via-generative-prior-distillation.txt", "jsonld": "https://wpnews.pro/news/learning-3d-editing-without-paired-supervision-via-generative-prior-distillation.jsonld"}}