mlsanityData to 7 Oct 2026

Seed3D 1.0: From Images to High-Fidelity Simulation-Ready 3D Assets

arXiv 2510.19944 ↗First posted 22 Oct 2025eess.IV cs.CVcited by 19

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Abstract (arXiv)

Developing embodied AI agents requires scalable training environments that balance content diversity with physics accuracy. World simulators provide such environments but face distinct limitations: video-based methods generate diverse content but lack real-time physics feedback for interactive learning, while physics-based engines provide accurate dynamics but face scalability limitations from costly manual asset creation. We present Seed3D 1.0, a foundation model that generates simulation-ready 3D assets from single images, addressing the scalability challenge while maintaining physics rigor. Unlike existing 3D generation models, our system produces assets with accurate geometry, well-aligned textures, and realistic physically-based materials. These assets can be directly integrated into physics engines with minimal configuration, enabling deployment in robotic manipulation and simulation training. Beyond individual objects, the system scales to complete scene generation through assembling objects into coherent environments. By enabling scalable simulation-ready content creation, Seed3D 1.0 provides a foundation for advancing physics-based world simulators. Seed3D 1.0 is now available on https://console.volcengine.com/ark/region:ark+cn-beijing/experience/vision?modelId=doubao-seed3d-1-0-250928&tab=Gen3D

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). Builds on 56 of its 71 references that are in the map. First posted on arXiv 22 Oct 2025.

Builds on

56 of 71 references.

References · 56

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38 more
  1. 2022FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awarenesscited by 3,611
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  9. 2021Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learningcited by 882
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  18. 2024CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assetscited by 444
  19. 2022CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learningcited by 342
  20. 2025Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generationcited by 342
  21. 2023ImageDream: Image-Prompt Multi-view Diffusion for 3D Generationcited by 256
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  23. 2023MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusioncited by 210
  24. 2025TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Modelscited by 204
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  27. 2025Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Materialcited by 157
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50 most cited of 56 All 56 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 3; 2026: 16.

19 papers.

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  1. 2025GigaWorld-0: World Models as Data Engine to Empower Embodied AIcited by 60
  2. 2025Sat2RealCity: Geometry-Aware and Appearance-Controllable 3D Urban Generation from Satellite Imagerycited by 6
  3. 2026PAct: Part-Decomposed Single-View Articulated Object Generationcited by 5
  4. 2025StereoWorld: Geometry-Aware Monocular-to-Stereo Video Generationcited by 2
  5. 2026CG-MLLM: Captioning and Generating 3D content via Multi-modal Large Language Modelscited by 2
  6. 2026ABot-Earth 0.5: Generative 3D Earth Modelcited by 2
  7. 2026ShellMaker: Language-Guided Exterior Completion under Structural Constraintscited by 2
  8. 2026Pose-Aware Diffusion for 3D Generationcited by 1
  9. 2026CA-World: Multi-Object Counterfactual Alignment for Efficient Interactive-Ready Reconstructioncited by 1
  10. 2026SpatialCrafter: Single Image World Modeling with Generative 3D Proxiescited by 1
  11. 2026Muses: Designing, Composing, Generating Nonexistent Fantasy 3D Creatures without Trainingcited by 0
  12. 20263D Generation for Embodied AI and Robotic Simulation: A Surveycited by 0
7 more
  1. 2026DataEvolver: Let Your Data Build and Improve Itself via Goal-Driven Loop Agentscited by 0
  2. 2026Advances in Neural 3D Mesh Texturing: A Surveycited by 0
  3. 2026Home3D 1.0: A High-Fidelity Image-to-3D Asset Generation System for Interior Designcited by 0
  4. 2026MSVS-VAE: Multi-Scale Anchored VecSet for High-Fidelity 3D Reconstructioncited by 0
  5. 2026PhysX-CoT: Structured Physical Reasoning from a Single Image to Simulation-Ready 3D Assetscited by 0
  6. 2026BTC3D: Blended Tile Conditioning for Detail-Enhancing Image-to-3D Generationcited by 0
  7. 2026HI3D 3.0 (Twinkle3D): Object-specific 3D Asset Generation with High Resolutioncited by 0