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site title: SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion

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sv3d novel multi view synthesis and 3d generation from a single image using latent video diffusion sv3d novel multi view synthesis and 3d generation from a single image using latent video diffusion vikram voleti chun han yao mark boss adam letts david pankratz dmitrii tochilkin christian laforte robin rombach varun jampani core technical contributions eccv 2024 oral arxiv model video sv3d takes an image as input and generates novel multi view images and 3d models abstract we present stable video 3d sv3d a latent video diffusion model for high resolution image to multi view generation of orbital videos around a 3d object recent work on 3d generation propose techniques to adapt 2d generative models for novel view synthesis nvs and 3d optimization however these methods have several disadvantages due to either limited views or inconsistent nvs thereby affecting the performance of 3d object generation in this work we propose sv3d that adapts image to video diffusion model for novel multi view synthesis and 3d generation thereby leveraging the generalization and multi view consistency of the video models while further adding explicit camera control for nvs we also propose improved 3d optimization techniques to use sv3d and its nvs outputs for image to 3d generation extensive experimental results on multiple datasets with 2d and 3d metrics as well as user study demonstrate sv3d s state of the art performance on nvs as well as 3d reconstruction compared to prior works summary video comparison and results novel multi view synthesis results on diverse images comparing our results on novel multi view synthesis with stable zero 123 and zero123 xl loading sv3d ours loading stable zero123 loading zero123 xl loading ground truth 3d reconstructions 3d meshes from diverse images click on the individual images to view the 3d model bibtex inproceedings voleti2024sv3d author voleti vikram and yao chun han and boss mark and letts adam and pankratz david and tochilkin dmitrii and laforte christian and rombach robin and jampani varun title sv3d novel multi view synthesis and 3d generation from a single image using latent video diffusion booktitle european conference on computer vision eccv year 2024 this website is based on the template from nerfies
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