Ink3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative Models
Recent 3D generative models can synthesize high-quality geometry but often struggle to reproduce intricate textures from reference images, largely due to the scarcity of large-scale 3D training data with rich surface appearance. In contrast, visual generative models are trained on datasets several orders of magnitude larger and excel at modeling complex visual patterns. Motivated by this gap, we introduce Ink3D, a framework that bridges 3D generation with large-scale video generative models to synthesize extremely complex textures. Ink3D first reconstructs a white-mesh geometry using an off-th
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- Linked via arxiv authorYue Han →
Ink3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative Models
- Linked via arxiv authorChong Li →
Ink3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative Models
- Linked via arxiv authorZhening Liu →
Ink3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative Models
- Linked via arxiv authorCong Huang →
Ink3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative Models
- Linked via arxiv authorFang Deng →
Ink3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative Models
- Linked via arxiv authorYong Liu →
Ink3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative Models
- Linked via arxiv authorFangyun Wei →
Ink3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative Models
- Linked via arxiv authorYan Lu →
Ink3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative Models