--- tags: - Image-to-3D - Image-to-4D - GenXD language: - en - zh base_model: - stabilityai/stable-video-diffusion-img2vid-xt pipeline_tag: image-to-3d license: apache-2.0 datasets: - Yuyang-z/CamVid-30K --- # GenXD Model Card

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## Model Details

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### Model Description 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. - **Developed by:** NUS, Microsoft - **Model type:** image-to-3D diffusion model, image-to-video diffusion model, image-to-4D diffusion model - **License:** Apache-2.0 ### Model Sources - **Project Page:** https://gen-x-d.github.io - **Repository:** https://github.com/HeliosZhao/GenXD - **Paper:** https://arxiv.org/abs/2411.02319 - **Data:** https://huggingface.co/datasets/Yuyang-z/CamVid-30K ## Uses ### Direct Use The model is intended for research purposes only. Possible research areas and tasks include - Generation of artworks and use in design and other artistic processes. - Applications in educational or creative tools. - Research on generative models. - Safe deployment of models which have the potential to generate harmful content. - Probing and understanding the limitations and biases of generative models. Excluded uses are described below. ### Out-of-Scope Use 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. ## Limitations and Bias ### Limitations - The model does not achieve perfect photorealism. - The model does not achieve perfect 3D consistency. ### Bias While the capabilities of generation model is impressive, it can also reinforce or exacerbate social biases.