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arXiv · 2607.07817

DreamCharacter-1: From 3D Generative Foundation Models to Product-Ready Character Generation

Weizhe Liu·Yunjie Wu·Xiangqian Shu·Guangwei Wang·Xiangyu Xu·Peng Li·Yujie Li·Hengkai Guo
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Abstract

We present DreamCharacter-1, a lightweight post-adaptation framework that calibrates pretrained 3D foundation models toward high-fidelity, production-ready 3D character generation. Building upon a 3D foundation backbone, our pipeline incorporates three task-oriented components: (1) geometry post-training, which enhances fine-grained surface details through geometric preference optimization; (2) texture post-training, which synthesizes high-resolution textures and refines the appearance of occluded regions; and (3) inference acceleration, which enables scalable deployment. Extensive quantitative and qualitative experiments demonstrate that DreamCharacter-1 produces visually compelling and structurally robust 3D character assets, consistently surpassing state-of-the-art character generation methods.

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Weizhe Liu, Yunjie Wu, Xiangqian Shu, Guangwei Wang, Xiangyu Xu, Peng Li, Yujie Li, Hengkai Guo. 2026-07-08. DreamCharacter-1: From 3D Generative Foundation Models to Product-Ready Character Generation. https://arxiv.org/abs/2607.07817

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