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Research questionHow can instruction-guided 3D editing avoid geometric artifacts and cross-view inconsistency without paired training data?Instruction-guided edits must satisfy a text request while retaining the object’s identity and coherent 3D structure. Supervision from a single rendered view or imperfect pseudo-pairs can produce geometry that looks plausible from one angle but fails from others.
AI
Computer Vision
Image & Video Processing
Machine Learning
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Technology
Latest papersRecent research connected to this question, newest first.Learning 3D Editing without Paired Supervision via Generative Prior DistillationThe source describes a method trained without paired 3D supervision using differentiable rendering, visual guidance from an image-editing model at the main view, semantic guidance from a vision-language model at novel views, and 3D latent distribution matching against a pretrained image-to-3D teacher. Its experiments report improvements in instruction fidelity and cross-view consistency, but the supplied evidence does not establish broader deployment requirements.research paper · Sep 4, 2026
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