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We present a method to apply generative diffusion models to interactive texture painting on 3D objects. Unlike existing texture painting systems, where the same image is repeatedly stamped over the surface, our method allows painting of any complex texture with variations and seamless tiling. Any inspiration photo, even of lower resolution, can immediately become an interactive texture brush with no training or pre-processing. We can even generate a seed texture using text-to-image diffusion. During an interactive stroke, we cast a ray from the cursor through the mesh and use normal and previous position to orient a local camera pointing at the mesh. The local patch rendered from this camera becomes a conditional input to an inpainting and Image Diffusion Model. The output of this generative model is then back-projected into the texture image using standard UV mapping. This process repeats for every patch of the painted stroke. Because diffusion supports in painting, this allows genera
