{"ID":6267722,"CreatedAt":"2026-07-10T01:11:38.759438437Z","UpdatedAt":"2026-07-11T17:47:58.155493336Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.07817","arxiv_id":"2607.07817","title":"DreamCharacter-1: From 3D Generative Foundation Models to Product-Ready Character Generation","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.","short_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 enhance...","url_abs":"https://arxiv.org/abs/2607.07817","url_pdf":"https://arxiv.org/pdf/2607.07817v1","authors":"[\"Weizhe Liu\",\"Yunjie Wu\",\"Xiangqian Shu\",\"Guangwei Wang\",\"Xiangyu Xu\",\"Peng Li\",\"Yujie Li\",\"Hengkai Guo\"]","published":"2026-07-08T18:02:57Z","proceeding":"cs.CV","tasks":"[\"cs.CV\",\"cs.AI\"]","methods":"[]","has_code":false}