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README.md
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---
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tags:
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- Image-to-3D
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- Image-to-4D
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- GenXD
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language:
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- en
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- zh
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base_model:
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- stabilityai/stable-video-diffusion-img2vid-xt
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pipeline_tag: image-to-3d
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license: apache-2.0
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datasets:
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- Yuyang-z/CamVid-30K
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---
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<p align="center" style="border-radius: 10px">
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<img src="https://gen-x-d.github.io/materials/figures/icon.jpg" width="35%" alt="logo"/>
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</p>
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<div style="display:flex;justify-content: center">
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<a href="https://huggingface.co/Yuyang-z/genxd"><img src="https://img.shields.io/static/v1?label=Weights&message=Huggingface&color=yellow"></a>  
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<a href="https://github.com/HeliosZhao/GenXD"><img src="https://img.shields.io/static/v1?label=Code&message=Github&color=blue&logo=github"></a>  
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<a href="https://gen-x-d.github.io/"><img src="https://img.shields.io/static/v1?label=GenXD&message=Project&color=purple"></a>  
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<a href="https://arxiv.org/abs/2411.02319"><img src="https://img.shields.io/static/v1?label=Paper&message=Arxiv&color=red&logo=arxiv"></a>  
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<a href="https://huggingface.co/datasets/Yuyang-z/CamVid-30K"><img src="https://img.shields.io/static/v1?label=CamVid-30K&message=HuggingFace&color=yellow"></a>  
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</div>
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# GenXD Model Card
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## Model Details
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<p align="center" border-raduis="10px">
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<img src="https://gen-x-d.github.io/materials/figures/diffusion-model.png" width="80%" alt="teaser_page1"/>
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</p>
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### Model Description
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GenXD leverages mask latent conditioned diffusion model to generate 3D and 4D samples with both camera and image conditions. In addition, multiview-temporal modules together with alpha-fusing are proposed to effectively disentangle and fuse multiview and temporal information.
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- **Developed by:** NUS, Microsoft
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- **Model type:** image-to-3D diffusion model, image-to-video diffusion model, image-to-4D diffusion model
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- **License:** Apache-2.0
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### Model Sources
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- **Project Page:** https://gen-x-d.github.io
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- **Repository:** https://github.com/HeliosZhao/GenXD
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- **Paper:** https://arxiv.org/abs/2411.02319
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- **Data:** https://huggingface.co/datasets/Yuyang-z/CamVid-30K
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## Uses
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### Direct Use
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The model is intended for research purposes only. Possible research areas and tasks include
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- Generation of artworks and use in design and other artistic processes.
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- Applications in educational or creative tools.
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- Research on generative models.
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- Safe deployment of models which have the potential to generate harmful content.
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- Probing and understanding the limitations and biases of generative models.
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Excluded uses are described below.
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### Out-of-Scope Use
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The model was not trained to be factual or true representations of people or events, and therefore using the model to generate such content is out-of-scope for the abilities of this model.
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## Limitations and Bias
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### Limitations
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- The model does not achieve perfect photorealism.
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- The model does not achieve perfect 3D consistency.
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### Bias
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While the capabilities of generation model is impressive, it can also reinforce or exacerbate social biases.
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