Meta 3D Gen
원문 초록
We introduce Meta 3D Gen (3DGen), a new state-of-the-art, fast pipeline for text-to-3D asset generation. 3DGen offers 3D asset creation with high prompt fidelity and high-quality 3D shapes and textures in under a minute. It supports physically-based rendering (PBR), necessary for 3D asset relighting in real-world applications. Additionally, 3DGen supports generative retexturing of previously generated (or artist-created) 3D shapes using additional textual inputs provided by the user. 3DGen integrates key technical components, Meta 3D AssetGen and Meta 3D TextureGen, that we developed for text-to-3D and text-to-texture generation, respectively. By combining their strengths, 3DGen represents 3D objects simultaneously in three ways: in view space, in volumetric space, and in UV (or texture) space. The integration of these two techniques achieves a win rate of 68% with respect to the single-stage model. We compare 3DGen to numerous industry baselines, and show that it outperforms them in terms of prompt fidelity and visual quality for complex textual prompts, while being significantly faster.
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Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation
GarmentDreamer: 3DGS Guided Garment Synthesis with Diverse Geometry and Texture Details
Generic 3D Diffusion Adapter Using Controlled Multi-View Editing
3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors
EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence
DreamPolish: Domain Score Distillation With Progressive Geometry Generation
토론
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