DreamCharacter-1: From 3D Generative Foundation Models to Product-Ready Character Generation
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 34 of its 42 references that are in the map. First posted on arXiv 8 Jul 2026.
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34 of 42 references.
References · 34
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22 more
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- 2023DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance
- 2024DreamPolish: Domain Score Distillation With Progressive Geometry Generation
- 2025Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assets
- 2023DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
- 2023DreamControl: Control-Based Text-to-3D Generation with 3D Self-Prior
- 2023Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation
- 2025End-to-End Fine-Tuning of 3D Texture Generation using Differentiable Rewards
- 2026Seed3D 2.0: Advancing High-Fidelity Simulation-Ready 3D Content Generation