MrNeRF (@janusch_patas)
2024-11-23 | โค๏ธ 167 | ๐ 22
ViewExtrapolator: Novel View Extrapolation with Video Diffusion Priors
Code is already released! Also make sure to checkout the original authorโs post!
Contributions (cited):
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We introduce ViewExtrapolator, a novel training-free pipeline that leverages the generative priors of SVD for novel view extrapolation.
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We design guidance annealing and resampling annealing that eliminate artifacts and enable high-quality inpainting of unseen regions, enhancing the visual fidelity of the rendered novel views effectively.
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Extensive experiments over various 3D rendering approaches demonstrate the superiority and broad applicability of ViewExtrapolator in novel view extrapolation
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[@SongNeverPanic]: 1/ ๐ Excited to share our new work: Novel View Extrapolation with Video Diffusion Priors. Dive into how we push the boundaries of novel view synthesis with ViewExtrapolator, a training-free meโฆ
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Kunhao (@SongNeverPanic)
1/ ๐ Excited to share our new work: Novel View Extrapolation with Video Diffusion Priors. Dive into how we push the boundaries of novel view synthesis with ViewExtrapolator, a training-free method that leverages Stable Video Diffusion (SVD). ๐งต ๐https://t.co/ObLFAVYSot https://t.co/oPCKwgwPWQ