HumanNOVA: Photorealistic, Universal and Rapid 3D Human Avatar Modeling from a Single Image
- Published
- Source
- arXiv
- Paper number
- 290
- Field
- Computer Vision
- arXiv ID
- 2606.02573
Key points
- Achieving both photorealism and generalization is difficult because diverse, high-quality 3D human data are scarce.
- These two strategies allow scaling to as many as 100,000 assets, greatly increasing both the quantity and diversity of data needed to train robust models.
- Extensive experiments on multiple benchmarks quantitatively and qualitatively demonstrate the superiority of this approach and its robustness under diverse input-image conditions.
Paper links
External research summaries. These are not HDATF publications or measured product results.