RL Grows a Third Dimension: Why Text-to-3D Finally Needs Reasoning
Opening — Why this matters now Text-to-3D generation has quietly hit a ceiling. Diffusion-based pipelines are expensive, autoregressive models are brittle, and despite impressive demos, most systems collapse the moment a prompt requires reasoning rather than recall. Meanwhile, reinforcement learning (RL) has already reshaped language models and is actively restructuring 2D image generation. The obvious question—long avoided—was whether RL could do the same for 3D. ...
