Summary of Personacraft: Personalized and Controllable Full-body Multi-human Scene Generation Using Occlusion-aware 3d-conditioned Diffusion, by Gwanghyun Kim et al.
PersonaCraft: Personalized and Controllable Full-Body Multi-Human Scene Generation Using Occlusion-Aware 3D-Conditioned Diffusion
by Gwanghyun Kim, Suh Yoon Jeon, Seunggyu Lee, Se Young Chun
First submitted to arxiv on: 27 Nov 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper introduces PersonaCraft, a framework for generating personalized full-body images of multiple individuals in complex scenarios. The current approaches struggle with occlusion-heavy scenes and complete body personalization due to the limitations of 2D pose conditioning. PersonaCraft integrates diffusion models with 3D human modeling, utilizing 3D geometry like depth and normal maps for robust 3D-aware pose conditioning and enhanced anatomical coherence. It also proposes an Occlusion Boundary Enhancer Network that exploits depth edge signals and Occlusion-Aware Classifier-Free Guidance strategy to handle fine-grained occlusions. The framework can be combined with Face Identity ControlNet for full-body multi-human personalization, marking a significant advancement over prior approaches focusing solely on facial identity. The paper includes extensive quantitative experiments and user studies demonstrating PersonaCraft’s ability to generate high-quality images with accurate personalization and robust occlusion handling. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper creates a new way to make personalized pictures of people from different angles. Right now, it’s hard to do this well when there are obstacles or multiple people in the scene. The new method uses 3D shapes and special computer programs to create more realistic and detailed images. It can even change the shape and size of the bodies to fit what people want. This is a big improvement over old methods that only focused on faces. |
Keywords
» Artificial intelligence » Diffusion
