Feb. 14, 2024, 5:46 a.m. | Ta-Ying Cheng Matheus Gadelha Thibault Groueix Matthew Fisher Radomir Mech Andrew Markham Niki Trigoni

cs.CV updates on arXiv.org arxiv.org

Current controls over diffusion models (e.g., through text or ControlNet) for image generation fall short in recognizing abstract, continuous attributes like illumination direction or non-rigid shape change. In this paper, we present an approach for allowing users of text-to-image models to have fine-grained control of several attributes in an image. We do this by engineering special sets of input tokens that can be transformed in a continuous manner -- we call them Continuous 3D Words. These attributes can, for example, …


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