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Achieve unprecedented spatial control in single-image generation by injecting 3D positional encodings into a diffusion model, enabling precise manipulation of object placement and scale.
Forget painstakingly curating 3D-consistent datasets: this RL approach uses a 3D foundation model to *verify* consistency, turning 3D scene editing into a tractable reinforcement learning problem.
