  This paper presents Paint3D, a novel coarse-to-fine generative framework that
is capable of producing high-resolution, lighting-less, and diverse 2K UV
texture maps for untextured 3D meshes conditioned on text or image inputs. The
key challenge addressed is generating high-quality textures without embedded
illumination information, which allows the textures to be re-lighted or
re-edited within modern graphics pipelines. To achieve this, our method first
leverages a pre-trained depth-aware 2D diffusion model to generate
view-conditional images and perform multi-view texture fusion, producing an
initial coarse texture map. However, as 2D models cannot fully represent 3D
shapes and disable lighting effects, the coarse texture map exhibits incomplete
areas and illumination artifacts. To resolve this, we train separate UV
Inpainting and UVHD diffusion models specialized for the shape-aware refinement
of incomplete areas and the removal of illumination artifacts. Through this
coarse-to-fine process, Paint3D can produce high-quality 2K UV textures that
maintain semantic consistency while being lighting-less, significantly
advancing the state-of-the-art in texturing 3D objects.
