DiffDreamer: Consistent Single-view Perpetual View Generation with Conditional Diffusion Models
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Perpetual view generation – the task of generating long-range novel views by flying into a given image – has been a novel yet promising task. We introduce DiffDreamer, an unsupervised framework capable of synthesizing novel views depicting a long camera trajectory while training solely on internet-collected images of nature scenes. We demonstrate that image-conditioned diffusion models can effectively perform long-range scene extrapolation while preserving both local and global consistency significantly better than prior GAN-based methods. Project page: https://primecai.github.io/diffdreamer .
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