Know3D lets users control the hidden back side of 3D objects with text prompts

THE DECODER / 4/4/2026

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Key Points

Know3D introduces a method that uses large language model knowledge to generate/edit content on the hidden back side of 3D objects from limited 3D information.
The system enables back-side control via simple text prompts, targeting a major limitation of single-image 3D generation where the unseen geometry and appearance are uncertain.
The approach frames the problem as filling in or predicting occluded views, using language-model priors to improve consistency of the resulting 3D appearance.
The work is positioned as an advancement toward more complete, prompt-driven 3D generation/editing workflows where users can specify both visible and occluded surfaces.

3D rendering of a round wooden seat shell with drawer, white cushion and color-coded normal maps on a white background.

A research team taps into the world knowledge of large language models to control what appears on the back side of 3D objects using simple text commands. The approach tackles one of the biggest blind spots in single-image 3D generation.

The article Know3D lets users control the hidden back side of 3D objects with text prompts appeared first on The Decoder.