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pidgedough/Paint3d_UVPos_Control
Paint3d_UVPos_Control is a machine learning model from pidgedough. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for diffusers. The card lists the license as apache-2.0.
<div align="center" <h1 <aPaint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models</a</h1
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From the Hugging Face model README
Paint3D is 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.
<details open="open"> <summary><b>Technical details</b></summary>We present 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.
<div align="center"> <img width="1194" alt="pipeline" src="./assets/pipeline.jpg"> </div> </details>@misc{zeng2023paint3d,
title={Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models},
author={Xianfang Zeng and Xin Chen and Zhongqi Qi and Wen Liu and Zibo Zhao and Zhibin Wang and BIN FU and Yong Liu and Gang Yu},
year={2023},
eprint={2312.13913},
archivePrefix={arXiv},
primaryClass={cs.CV}
}