Summary of One-shot Generative Domain Adaptation in 3d Gans, by Ziqiang Li et al.
One-shot Generative Domain Adaptation in 3D GANs
by Ziqiang Li, Yi Wu, Chaoyue Wang, Xue Rui, Bin Li
First submitted to arxiv on: 11 Oct 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 The paper introduces a novel task called One-shot 3D Generative Domain Adaptation (GDA), which transfers a pre-trained 3D generator to a new domain using only one reference image. The goal is to achieve high fidelity, large diversity, cross-domain consistency, and multi-view consistency. The authors propose 3D-Adapter, the first one-shot 3D GDA method, which fine-tunes a restricted weight set and uses four advanced loss functions for adaptation. An efficient progressive fine-tuning strategy enhances the adaptation process. The model achieves remarkable performance across all desired properties of 3D GDA, extending to zero-shot scenarios and enabling tasks like interpolation, reconstruction, and editing in the latent space. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper introduces a new way to teach computers to generate 3D images. This is done by moving an existing 3D generator from one domain (like a specific type of object) to another domain (like a different type of object). The goal is to make the generated images look realistic, diverse, and consistent across different views. The authors developed a new method called 3D-Adapter that uses a combination of techniques to achieve this goal. They tested their method and showed it can generate high-quality images. This technology has many potential applications, such as generating fake objects for movies or games. |
Keywords
» Artificial intelligence » Domain adaptation » Fine tuning » Latent space » One shot » Zero shot
