🔥 Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation

💡 The paper introduces Hunyuan3D 2.0, a large-scale 3D synthesis system for generating high-resolution textured 3D assets. The system consists of two main components: Hunyuan3D-DiT, a shape generation model, and Hunyuan3D-Paint, a texture synthesis model. The shape generation model uses a scalable flow-based diffusion transformer to create geometry that aligns with a given condition image. The texture synthesis model uses strong geometric and diffusion priors to produce high-resolution and vibrant texture maps for generated or hand-crafted meshes.

The authors also introduce Hunyuan3D-Studio, a user-friendly production platform that simplifies the re-creation process of 3D assets, allowing both professional and amateur users to manipulate or animate their meshes efficiently. The system is evaluated and compared to previous state-of-the-art models, showing that Hunyuan3D 2.0 outperforms them in terms of geometry details, condition alignment, and texture quality.

The main contributions of the paper are the development of a scalable and efficient 3D synthesis system, the introduction of a user-friendly production platform, and the public release of the code and pre-trained weights of the models. The system aims to fill the gaps in the open-source 3D community for large-scale foundation generative models, providing a valuable resource for researchers and developers. Overall, the paper presents a significant advancement in the field of 3D synthesis, enabling the generation of high-quality textured 3D assets with improved geometry and texture details.

📅 Published on Jan 21, 2025

🔗 Links:
• GitHub: https://github.com/huggingface
• arXiv: https://arxiv.org/abs/2501.12202
• PDF: https://arxiv.org/pdf/2501.12202
• Project Page: https://huggingface.co/alluriaiprojects

🤖 Models citing this paper:
• https://huggingface.co/tencent/Hunyuan3D-2
• https://huggingface.co/tencent/Hunyuan3D-2.1
• https://huggingface.co/tencent/Hunyuan3D-2mv

📊 Datasets citing this paper:
• https://huggingface.co/datasets/tencent/HY3D-Bench

🚀 Spaces citing this paper:
• https://huggingface.co/spaces/tencent/Hunyuan3D-2
• https://huggingface.co/spaces/frogleo/Image-to-3D
• https://huggingface.co/spaces/HorizonRobotics/EmbodiedGen-Image-to-3D

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📢 By: https://xn--r1a.website/PaperNexus

#DiffusionModels #3DAssetGeneration #Textured3DModeling #GeometrySynthesis #3DSynthesisSystems