mlsanityData to 7 Oct 2026

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

arXiv 2607.07817 ↗First posted 8 Jul 2026cs.CV cs.AIcited by 1

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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

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  3. 2021RoFormer: Enhanced Transformer with Rotary Position Embeddingcited by 4,581
  4. 2024Scaling Rectified Flow Transformers for High-Resolution Image Synthesiscited by 4,094
  5. 2022Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flowcited by 3,550
  6. 2023One-step Diffusion with Distribution Matching Distillationcited by 978
  7. 2023LRM: Large Reconstruction Model for Single Image to 3Dcited by 834
  8. 2024Structured 3D Latents for Scalable and Versatile 3D Generationcited by 742
  9. 20233DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Modelscited by 449
  10. 2025Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generationcited by 342
  11. 2025Seedream 4.0: Toward Next-generation Multimodal Image Generationcited by 233
  12. 2023Uni3D: Exploring Unified 3D Representation at Scalecited by 231
22 more
  1. 2024TripoSR: Fast 3D Object Reconstruction from a Single Imagecited by 227
  2. 2025TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Modelscited by 204
  3. 2023ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understandingcited by 199
  4. 2025Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Materialcited by 157
  5. 2025Native and Compact Structured Latents for 3D Generationcited by 157
  6. 2025Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Detailscited by 120
  7. 2024MV-Adapter: Multi-view Consistent Image Generation Made Easycited by 111
  8. 2024Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoderscited by 93
  9. 2025LATTICE: Democratize High-Fidelity 3D Generation at Scalecited by 41
  10. 2024CharacterGen: Efficient 3D Character Generation from Single Images with Multi-View Pose Canonicalizationcited by 28
  11. 2023PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characterscited by 16
  12. 2025UltraShape 1.0: High-Fidelity 3D Shape Generation via Scalable Geometric Refinementcited by 16
  13. 2025Pandora3D: A Comprehensive Framework for High-Quality 3D Shape and Texture Generationcited by 14
  14. 2024NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generationcited by 13
  15. 2026Pixal3D: Pixel-Aligned 3D Generation from Imagescited by 11
  16. 2025MARS: Mesh AutoRegressive Model for 3D Shape Detailizationcited by 7
  17. 2024StdGEN: Semantic-Decomposed 3D Character Generation from Single Imagescited by 5
  18. 2025TEXTRIX: Latent Attribute Grid for Native Texture Generation and Beyondcited by 4
  19. 2025LaFiTe: A Generative Latent Field for 3D Native Texturingcited by 4
  20. 2026Hitem3D 2.0: Multi-View Guided Native 3D Texture Generationcited by 2
  21. 2026AssetGen: Deployable 3D Asset Generation at Interactive Speedcited by 2
  22. 2026StdGEN++: A Comprehensive System for Semantic-Decomposed 3D Character Generationcited by 1

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Citing papers per year: 2026: 1.

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  1. 2023DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance
  2. 2024DreamPolish: Domain Score Distillation With Progressive Geometry Generation
  3. 2025Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assets
  4. 2023DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
  5. 2023DreamControl: Control-Based Text-to-3D Generation with 3D Self-Prior
  6. 2023Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation
  7. 2025End-to-End Fine-Tuning of 3D Texture Generation using Differentiable Rewards
  8. 2026Seed3D 2.0: Advancing High-Fidelity Simulation-Ready 3D Content Generation